Search results for "Semantic Modeling"

Jobbusters AB

Your New Role  Join a global product organization shaping how knowledge is structured across a world-class digital audio ecosystem. We’re looking for a Data Curator / Ontologist to help design and evolve the internal meaning systems behind how information is organized, connected, and understood. This is a foundational role within a forward-thinking Platform Mission team, initially focused on domains such as audiobooks, genres, and podcast topics, with a natural pathway into AI-driven knowledge modeling and semantic structuring. Rather than working directly with media content, you’ll operate at the level of internal knowledge architecture, helping define and refine how the organization represents itself through data. You will collaborate closely with engineers and cross-functional partners to structure core internal domains such as: Teams and organizational structures Projects and initiatives Strategic concepts and frameworks Emerging AI-related knowledge models This is an experimental and evolving role, ideal for someone who enjoys shaping ambiguity into structure, testing new approaches, and learning as they go. You’ll join a fully remote, globally distributed team spanning Pacific Time, Dublin, Stockholm, and Amsterdam. The team thrives in an asynchronous-first environment, relying heavily on documentation and Slack-based collaboration, with meetings designed around overlapping working hours. Company Presentation Our client is a global tech company offering popular streaming services to millions of users worldwide. With a vibrant headquarters in Stockholm they provide a flexible environment where creativity and innovation thrive. The corporate language is English, and cross-functional teams work together to develop products that reach millions every day. Here, you’ll have the opportunity to shape the future of digital experiences in a culture that values technical excellence, forward-thinking, and collaboration. Good to Know Scope of employment: Full-time, 100% Type of contract: Fixed-term employment as a consultant via JobBusters. Working model: Remote Start date: Immediately End date: 6 month, with the possibility of extension In your application: Please ensure that your CV clearly demonstrates how you meet the qualifications required by the client. To succeed in this role, you will need:  A strong foundation in data structuring, ontology work, or internal knowledge management Strong interdisciplinary communication skills, able to bridge technical and non-technical domains Comfort working in a remote, async-first environment Experience collaborating with engineers and data/knowledge teams Curiosity for how systems of meaning evolve, especially in AI-adjacent contexts A proactive, exploratory mindset suited to a role still being defined What we Offer Secure employment with a collective bargaining agreement, insurance coverage and occupational pension Wellness allowance and employee discounts and offers via Benifex (e.g., health, leisure, transport and healthcare) Flex pension and access to the Lifeplan pension advisory service Additional compensation during parental leave Occupational health services Long-term assignments and a dedicated Consultant Manager for personal support Opportunities to build valuable experience, expand your network and grow your future career We look forward to receiving your application  We review applications on an ongoing basis. As recruitment processes in the consulting industry can move quickly, the position may be filled before the advertised deadline — so we encourage you to apply as soon as possible. You do not need to submit a cover letter. Instead, please respond to the screening questions included in the application process.

Cyberway AB

About Cyberway At Cyberway, we believe that technology can make everyday life simpler, smarter, and more sustainable — for businesses, organizations, and people. That’s why we create solutions that truly make a difference. We combine deep technical expertise with strategic insight, always aiming to transform complex digital challenges into clear, scalable, and future-proof results. We believe in more than just code — we believe in people. It’s the passion, skills, and collaboration of individuals that drive real change. Whether it’s system development, data analysis, UI/UX, infrastructure, or delivery models such as nearshore and team as a service, we build success through experience, innovation, and action — with the right people at the core. The Role We are now looking for an engineer who wants to join our journey. With us, you’ll have the opportunity to work with modern technologies, exciting clients, and projects that make a real impact. The role is diverse — sometimes you’ll work independently, sometimes in teams, always in close dialogue with both customers and colleagues. We believe you have a background that makes you confident in your skills, while also being curious to develop new ones. Most importantly, you want to contribute to building the Cyberway culture together with us. What We're Looking For 5+ years of experience as a Data Engineer with strong knowledge of data modeling (dimensional modeling, star schemas, partitioning, and clustering) Hands-on experience with either: Microsoft Azure (Azure Databricks, Azure Data Factory, Azure DevOps, CI/CD, Azure Storage, Microsoft Fabric, and Power BI), or Google Cloud Platform (GCP) (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and CI/CD) Strong programming skills in SQL and Python Experience designing and building scalable data pipelines, including data ingestion, transformation, and semantic modeling Solid understanding of data warehousing, ETL/ELT concepts, and modern data platform architectures Experience working with large-scale datasets and optimizing high-volume data processing (including tables containing billions or trillions of rows) is highly valued Familiarity with metadata management, performance tuning, and cost optimization is an advantage Ability to work both independently and collaboratively in agile teams Excellent communication skills in English and/or Swedish What We Offer Exciting and challenging assignments where you make a real difference A work environment built on transparency, trust, and openness We support you in building the career path that suits you best The opportunity to influence both your own development and Cyberway’s future A culture where innovation, people, and action go hand in hand Location For this role, we are looking for someone based in Skåne, as many of our clients and projects are located in the region.

Stegra

Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we’re building an impact-driven, sustainable company - and we need a diverse, inclusive team to make it happen. If you share our passion but don’t meet every qualification, we encourage you to apply anyway. You might be the perfect fit for this role, or another as we grow. At Stegra, we’re not just building a plant, we’re proving that sustainable industry is possible. And to do that, we need people like you. Join a team where safety comes first. Where we support each other, learn as we go, and make space for everyone to grow and contribute. This is your chance to be part of something big - while being closer to nature and leading a balanced, purposeful life. What you’ll do We are building a next-generation steel plant - and data is a core part of how we operate, optimize, and scale. We believe the best data solutions are created close to the business, by teams who understand both the context and the technology. We are now looking for a Data Engineer to join our Digital Domain supporting Finance and HR. In this role, you will work at the intersection of business and technology - helping shape how data is modeled, shared, and used to drive decisions across the organization. You will be part of a cross-functional team where business experts, analysts, and developers collaborate closely. Together, you will build data products that are reliable, understandable, and designed to be reused across the company - not just for a single use case. At the same time, you will contribute to how we build our data platform and ways of working. We aim to continuously evolve - adapting to new technologies, improving how we design data, and staying aligned with modern best practices. You will also take a leading role in facilitating the data platform roadmap - aligning needs across domains, shaping priorities, and ensuring progress on key initiatives. Responsibilities: * Design, build, and maintain data pipelines and products that enable Finance and HR to make reliable, data-driven decisions * Work closely with business stakeholders and analysts to translate needs into scalable data models and solutions * Help structure and expose data so it is consistent, understandable, and reusable across domains · Take an active role in improving how we work with data across teams - leading and driving improvements to platform capabilities, standards, and patterns * Enable self-service use of data by making it accessible and usable beyond engineering teams * Make thoughtful trade-offs in how data is designed and delivered - balancing batch vs near-real-time, handling historical data, and shaping metrics and semantics for usability * Define and promote best practices for data quality, testing, documentation, and access control * Explore how modern tooling, including AI-assisted development, can improve how we build, test, and maintain data products * Support and coach colleagues in modern data engineering practices What you’ll bring You enjoy solving real problems and are motivated by building data solutions that are actually used. You are curious about how data platforms should be designed — and how those designs need to evolve as technology and business needs change. We believe you bring many of the following: * Several years of experience in data engineering or modern data platform development * Experience building end-to-end data solutions (ingestion, storage, transformation, consumption) * Interest in contributing beyond your immediate team — shaping shared ways of working, standards, and platform capabilities * Strong SQL skills and experience modeling data for analytical use * Experience with cloud-based data platforms and infrastructure-as-code * Knowledge of engineering practices such as CI/CD, testing, and code review * Ability to make sound technical decisions without being tied to specific tools or vendors * Interest in areas such as self-service analytics, semantic modeling, temporal data, and data governance * Experience working closely with business stakeholders, analysts, or operational teams * Strong communication skills and ability to explain technical solutions clearly Nice to have: * Experience with, or interest in, industrial/operational (OT) data and how data from physical processes can be used for analytics and optimization Benefits at Stegra At Stegra, you’ll join a company where your work has real impact on the climate, the industry, and future generations. We’re building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive. Read more about Benefits at Stegra here. Here’s what makes this role unique: * Breadth, not silos: You’ll work across multiple technical areas - data, architecture, infrastructure and backend - gaining deep understanding of our digital ecosystem. * Ownership from day one: You’ll support a specific domain and act as a bridge between operations and tech, and drive solutions all the way from need to implementation and iteration. * Close to the action: You’ll collaborate closely with stakeholders, understand their workflows, and ensure your digital solutions create real value in their day-to-day operations. This is Stegra Stegra is on a mission to change the global steel industry by producing green hydrogen, iron, and steel - with the goal of eliminating CO₂ emissions. Instead of coal, we use green hydrogen and fossil-free electricity, meaning our primary emissions will be water and heat. By 2030, our ambition is to produce 5 million tonnes of green steel annually in our fully integrated, digitized, and sustainable plant in Boden, Northern Sweden - currently under construction. But this is just the beginning. Our expertise in green hydrogen will enable us to decarbonize industries beyond steel, paving the way for a cleaner future. Our Stockholm Office Our modern Stockholm office is located on Norra Stationsgatan, close to Karolinska University Hospital in central Stockholm. Here, you’ll find a bright, collaborative workspace where cross-functional teams connect, share ideas, and drive progress. Whether you're visiting regularly or working hybrid, you'll be part of a vibrant office culture with easy access to the city’s energy and amenities.

Lovable Labs Sweden AB

TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for self-service analytics. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for: Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Understanding of dimensional modeling, data contracts, and metrics/semantical layers Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc) Strong business acumen and ability to translate domain logic into scalable data structures What you will do: Build and maintain data models, following modular, tested, and version-controlled practices Partner with domain teams to understand business logic and codify it into reusable models and metrics Define and document key metrics and data contracts across domains Collaborate with Data Platform Engineers to optimize query performance and warehouse cost Automate and maintain data documentation, lineage, and governance standards Develop guidelines for analytics development, data modeling and structure conventions Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

Telavox AB

Join Telavox as an Analytics Engineer 📊 At Telavox, a data point is only as valuable as the trust people place in it. As our Analytics Engineer, you will own the full lifecycle of that data point, from raw backend event all the way to the dashboard where an executive acts. You are the person who makes sure the numbers leadership sees are the right ones, and that the path from raw event to insight is modeled, tested, and trustworthy. We think of this role as the organisation's librarian: data at Telavox should not just be available, it should be findable, well-defined, and ready to use. If you like the craft of making data genuinely useful and you want to own it from pipeline to prototype, this role is built for you. About the job You will be responsible for making data real across the organisation, building and maintaining the pipelines, models, and datasets that analysts and business leaders depend on every day. Your day-to-day work includes: Own the dbt project: transform raw data into staged, modeled, documented, and tested tables across bronze, silver, and gold layers Design and evolve data marts that encode real Telavox business logic in ways that survive org and product changes Operate our CDC pipelines, monitor health, respond to failures, and manage BigQuery cost and performance Build and maintain the semantic layer that powers self-service and agentic analytics Partner with analysts and business stakeholders to turn questions into durable data products rather than one-off reports This role is based at our new HQ in Malmö. About you This role sits closer to data engineering than classic BI. Your centre of gravity is the backend: ingestion pipelines, GCP, SQL performance, and change data capture. You will take on real data engineering responsibilities; this is not a role that hands off to a separate platform team. That said, you are not only a backend engineer. You can move up the stack when needed, spinning up a dashboard to validate data with stakeholders and close the feedback loop on your models. You are pragmatic and ownership-minded, taking pride in end-to-end delivery. You are comfortable speaking business with a Sales Lead and SQL with a Developer in the same afternoon, and you are always focused on making data genuinely useful to the people who depend on it. We are also looking for someone genuinely curious about AI, eager to help shape how Claude and similar tools fit into analytics engineering and bring a point of view on where AI adds real leverage and where it does not. We are looking for someone with: Advanced SQL and strong dbt fundamentals, including incremental models, snapshots, tests, and macros Solid BigQuery knowledge across partitioning, clustering, cost controls, and performance tuning Experience building dimensional models or equivalent analytical schemas Ability to translate business questions into durable data models, and to push back when the question is wrong Working Python for tooling, scripts, and operational tasks Experience with CDC concepts, Fivetran, or a semantic layer such as Cube or MetricFlow is a strong plus Fluent English, written and spoken. Swedish is a plus Join us at Telavox💚 Since Telavox's journey started in 2002, we have strengthened our position as the leading forward-thinking communication platform for businesses. As a digital mobile operator, we develop and own our all-in-one communication platform, which integrates telephony, PBX, messaging, meetings, and contact centers, giving businesses a smarter way to connect. Today, we’re a thriving company with 1.9 billion SEK in revenue and 500+ Telavoxers across nine countries. We embrace AI and automation to push the boundaries of business communication. We offer flexible work options and adaptable hours, giving you the freedom to balance life and career while staying connected to our vibrant Telavox culture. Read more about our new HQ in Malmö 🏠! How to apply! At Telavox, we don't focus on fitting in; we focus on making room for everyone. We’re always on the lookout for great talent, so applications are reviewed continuously. If you're ready to be part of an innovative, AI-driven telecom company, apply today with your CV and cover letter in English.  For any questions, feel free to reach out to Talent Acquisition Partner Ami Faraguna at ann-marie.faraguna@telavox.com Learn more about what we do! ⬇️

Elastic

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role The Partner Solutions Architect is a high-priority role that will have a sizaeble, immediate impact on Elastic and our entire partner ecosystem. In this role, you will be responsible for the technical management, activation and enablement of our partner relationship in EMEA.  What Will You Be Doing Acting as a strategic technical leader in the field - you are a self starter. You lead the lifecycle of agreements from business case, planning and governance, technical architecture, solution build, business modeling, and ensure business case is delivered to the end customer through partners. Translating technical capabilities into business benefits - you are instrumental in showing how Elastic’s offerings can be tailored to address the specific needs of the partner’s customer base, thereby making the solutions more relatable and easier to sell. Support partners in developing proactive proposals in key accounts for growing Elastic Cloud with partners. Architecting custom solutions - By co-creating tailored solutions that integrate Elastic’s technology within the partner’s offerings or customer environments, Partner Solution Architects ensure that partners are not just enabled but are fully equipped to solve unique customer challenges, which in turn, stimulates active selling. Co-Leading design wins - you work collaboratively on design wins, meaning they assist in developing the technical blueprint for industry-specific solutions that partners can use in their go-to-market strategies, effectively boosting activation. Driving technical advocacy and earning trust - you foster a deeper technical rapport with the partner, aiding their ability to comprehend and advocate for Elastic solutions, which is a key component for partner activation. Build trusted relationships with senior technical individuals. Supporting co-marketing efforts - you provide the technical backbone to marketing campaigns, ensuring that the partner’s messaging accurately reflects the capabilities and benefits of Elastic’s offerings, which is important for an effective activation campaign. Authoring customer-facing publications - you stay on top of market trends around cloud and industry best practices, building deep relationships with technical leaders inside and outside of the company, contributing to publications, white papers, blogs, and sales collateral. Build community to drive growth - develop a focused and structured network of Solutions Architects who can pinpoint opportunities based on the synergies between Elastic and partners. This is a PreSales role that carries a sales target so candidates should  have previous PreSales experience within the software sector. You will be required to travel approximately 30% of the time.   What You Bring * 8+ years experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies. * 5+ years of experience working with multinational customers in support of technology sales. * An understanding of AI and semantic search and vector technologies, with a focus on RAG, vector search, and NLP. * Professional experience architecting/operating solutions built on AWS, Google Cloud or MSFT Azure. * Excellent communication and presentation skills, able to engage both technical and non-technical audiences. We think of it like this, “You may be speaking to a developer in the morning, an architect in the afternoon and an executive buyer in the evening.” * Adept at getting things done in an environment with ambiguity but also lots of opportunity. * A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, solve a problem, or outpace competitors. * Ability to inspire teams to work on not just what’s urgent, but what’s most relevant. * Ability to travel up to 30% within the EMEA region.    #LI-PF1 ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Nextory AB

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we are looking for a Junior Data Engineer to join our team and grow with us. You do not need years of work experience, we care more about your mindset, technical foundation and eagerness to learn. Let us tell you about the role 📖 As a Junior Data Engineer, you’ll be a part of our central data team and collaborate closely with both technical teams and business stakeholders to build and improve our data platform. You’ll play an important role in building the data foundations behind modern AI products and intelligent agents while exploring how AI systems interact with and make use of data in real-world applications. In this role, you’ll also Support data ingestion and pipeline maintenance using tools such as Airbyte and Dataform Write and maintain basic SQL transformations, data models, and data quality checks Help structure and document data models, metrics, and business definitions Support the development of the semantic layer in Omni Investigate data issues and help ensure data is accurate, reliable, and easy to use Your story so far 👀 We are looking for someone who is structured and takes ownership of their work. We believe you are self-driven, communicative and comfortable collaborating with both technical teams and stakeholders. You value quality, enjoy learning and understand the importance of strong foundations when building scalable and reliable data solutions. Furthermore, we believe you have: A degree or recently completed studies in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field Some knowledge of SQL Basic programming experience, preferably in Python An interest in databases, data modeling, analytics, and modern data platforms Curiosity about semantic layers, metrics, information modeling, and AI-driven data solutions You might have experience with some of the following areas, but don’t worry if you don’t, we’re more interested in your overall potential and willingness to learn. School projects, internships, thesis work, or personal projects involving data Data modeling concepts such as facts, dimensions, entities, relationships, or star schema Tools such as Omni, dbt, LookML, Cube, BigQuery, Snowflake, Airflow, or similar Git or other version control tools BI tools such as Looker, Tableau, Power BI, or simila The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application. Please submit your grades and CV when you apply. Applications are reviewed continuously and if you have any questions about the role, contact Erika Thorslund, erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.

Hitachi Energy Sweden AB

The opportunity At Hitachi Energy, we are accelerating the energy transition with digital innovation at the core of everything we do. To support this journey, we are now looking for a Data Engineer / Report Builder to strengthen our data platform and enable data driven decision making across operations, logistics, and manufacturing. In this role, you will play a key part in building trustworthy, structured, and scalable data foundations that support reporting, analytics, and future digital capabilities. You will work closely with the business to replace manual reporting with automated solutions and help transform data into real business value. This position is part of our digital transformation initiative and reports to the Digital Transformation Manager. How you’ll make an impact Build, maintain, and further develop our data platform to support analytical and operational use cases Ensure high data quality, completeness, and consistency, enabling reliable reporting and decision support Translate business needs into well‑defined data objects and data models, acting as a bridge between business and technology Integrate and structure new data sources from operational and business systems Develop and maintain our reporting portfolio, primarily using Power BI Enable automated and self-service reporting, leveraging AI and replacing manual and Excel based solutions Your background 3–7 years of relevant experience within data engineering, analytics engineering, or similar roles Handson experience with Databricks or a comparable data platform Strong skills in SQL, data modeling, and data pipeline design Experience working with databases, ETL/ELT processes, and structured data architectures Experience building reports and semantic data models, preferably using Power BI The ability to translate complex business requirements into scalable and maintainable data solutions What we offer Collective agreement Flexible working time Health care and wellness allowance Fantastic career possibilities within Hitachi Energy both within Sweden and globally Mentor to support you throughout onboard phase Various trainings and education supporting employee development​ Diversified company with over 70+ nationalities working in Sweden Supplementary compensation for parental leave Employee Benefit Portal with thousands of discounts and perks More about us Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply! Applications will be reviewed on an ongoing basis, so don’t delay – apply today! Recruiting Manager Jennie Rassool, jennie.rassool@hitachienergy.com will answer your questions about the position. Union representatives - Sveriges Ingenjörer: Philip Bengtsson, +46 107-38 25 17; Unionen: Michael Fosselius, +46 107 38 46 19; Ledarna: Frank Hollstedt, +46 107-38 70 42 . All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com.

Bravida Sverige AB

Analytics Engineer, Stockholm Bravida is one of the Nordic region's leading installation and service companies covering electrical, HVAC, plumbing, sprinkler, security & fire, and automation across Sweden, Norway, Denmark and Finland with over 12,000 employees and around 300 local branches. Behind that scale sits serious operational complexity: projects, procurement, and finance functions that run on data. We're hiring an experienced Analytics Engineer to own the data models that ties it all together.   The Role Data modelling is the core of this job. You'll design and own the semantic layer that makes Bravida's operational and financial data trustworthy, consistent, and accessible for reports today and generative BI tomorrow. AI isn't a side interest here; it's central to how we expect this role to operate and where we're taking our analytics capability. Architect and own data models in dbt on Snowflake as the primary deliverable Define and enforce modelling standards, documentation, and data contracts across domains Build and manage pipelines in Dagster Work with AI tooling actively to accelerate your own output and enable smarter self-service for the business Drive our move toward generative analytics, shaping how business users query and interpret data through natural language Work directly with operations, procurement, and finance to model their domains properly Lead analytics data quality and reliability improvements across the stack   The Team The Data & Analytics team sits inside Operational Excellence, a fast-moving function with a mandate to improve how Bravida runs at every level. That means getting out into the business, building relationships with branch managers and project leads across the Nordics, and making data something people actually pull toward rather than have pushed at them. We move quickly, we're visible, and we don't accept "this is how we've always done it." If you need a perfectly quiet environment to do your best work, this probably isn't the right fit. If you thrive on direct feedback, short cycles, and seeing your work land in the real world fast, it is.   What You Bring 3+ years as an Analytics Engineer, Data Engineer, or Data Analyst Deep dbt experience; you've built and maintained production-grade models others depend on Strong Snowflake or comparable modern platform experience Solid grasp of dimensional modelling, data contracts, and semantic layer design Active user of AI tools in your workflow and a view on how they change the job Genuine interest in generative BI and what it means for how businesses consume data beyond today Strong stakeholder management; you can hold a room, push back constructively, and get buy-in from people who weren't looking for it You spot problems before they're reported and propose solutions before they're requested You make good calls with incomplete information and don't wait to be told what to build next English required; Nordic languages a bonus   What We Offer Ownership of a decision engine that matters at real scale A modern stack (Snowflake, dbt, Dagster) with active investment in AI and generative BI Direct access to senior stakeholders across operations, procurement, and finance A fast team with a real mandate, not a support function waiting for tasks Autonomy on your own career and continuous development The construction and installation industry is going through fundamental change in how projects are run, how decisions get made, and how value gets measured. The civic projects Bravida works on: the hospitals, schools, infrastructure, and buildings that society depends on, they deserve to be built and then operated on better data. We take that responsibility seriously. That's what this role is part of.   Process: Intro call with hiring manager, then a practical technical case study followed by meeting the team and discussing the solution. Final step is meeting some of the Operations team and key stakeholders.   You must be eligible to work in Sweden and the EU.

Voyado AB

We’re at a pivotal moment in our Insights & Activation area. Across three teams, we’re building the foundation for the next generation of our product, from native intelligence and personalization to predictive insights and next-best-action capabilities. At the same time, we’re rolling out an agentic AI layer that will span across our entire application. This isn’t an iteration, it’s a transformation. At the core of this shift is data. Not more data, but structured, trusted, and well-defined data that can power analytics, machine learning, and AI consistently across the product. You will play a key role in shaping how that foundation is designed, ensuring that what we build today can scale with the ambitions we have for tomorrow. This role is about steering others so they make the right decisions, challenging assumptions, identifying future needs before they become blockers, and ensuring that the technical direction across teams is coherent and sustainable. Some of the things you'll be up to: Review and challenge architectural proposals from tech leads and developers across the three teams Drive the design of the canonical consumer data layer, defining data product standards, lineage, semantic models, and governance mechanisms on Databricks Coaching tech leads on trade-off analysis, system thinking, and long-term architectural sustainability Participating in roadmap discussions to inform what is technically feasible, what should be sequenced differently, and where foundational work must come first So, who are you? We believe you're an experienced architect or senior technical leader who thrives in complex, cross-domain environments. You lead with curiosity and humility, taking the time to understand before deciding, while still being decisive when direction is needed. You communicate clearly, build alignment through reasoning, and aren’t afraid to challenge assumptions in a constructive way. You know that strong architecture comes from both sound technical judgment and the ability to influence others. We believe you have: Architectural leadership experience across multiple teams or domains, with a track record of guiding others toward consistent technical direction Experience in specifically data architecture, ideally including data platform design, data product thinking, and data modelling for analytics and ML consumption. Experience with Databricks or similar lakehouse platforms is highly valued Familiarity with AI/ML in production: not necessarily building models yourself, but understanding how ML pipelines, feature stores, model serving, and training data requirements shape architectural decisions Experience designing canonical/semantic data layers for broad consumption (analytics, ML, product features) What's in it for you? Voyado wouldn’t be the powerful platform it is without the people behind it. We really care for our Voyadoers, and some examples of what we can offer you are: You’ll operate in a culture that values curiosity, open discussion, and constructive challenge - where good ideas triumph hierarchy Summits where we hang out, workshop, discuss, and have a good time together Opportunities for personal and professional growth and learning in a dynamic and supportive environment. Work-life balance – we don't have a long work-hours culture; we value engagement over hours worked. Some of our benefits: 30 days of vacation, so you can spend time on the things you love Beneficial bike lease, including e-bikes Breakfast buffet on Fridays Inhouse gym only for Voyadoers A generous gadget-and-phone package (your choice!) 5000 SEK per year in wellness allowance Parental leave top-up additional support for new parents A wellness hour you can use every week About Voyado Voyado is the ultimate solution for personalization and relevance across all channels—online and offline. Used by retailers and e-commerce companies worldwide, Voyado makes it possible for every brand to engage customers, elevate shopping experiences, and evolve their own businesses. We are now a company of 350+ colleagues on an exciting journey and have recently established a presence in new markets to strengthen our position in Europe. If you are ready for your next adventure and want to join our team on our expansion throughout Europe and have an interest in customer care, e-commerce, retail, and tech - let's get in touch! Be yourself 🏳️‍🌈 At Voyado, we believe in gender equality. We are proud sponsors of Womengineer as well as Tjejer Kodar! Read more about Tjejer Kodar & Voyado here. Equality is not only about gender but also about making everyone feel welcome and heard in a multicultural and diverse environment. We at Voyado strive to make everyone feel like they can bring their true self to work every day. Gender-equal and diverse teams have more perspectives on life and bring different ideas to the table which in the end leads not only to making a better working environment but also a better product. Ready to find out more? Lovely! 🎉 Before you apply, it can always feel like you need a better resume, more polish, or just another year of experience, but we say: if you think this sounds like a place where you can shine, don't hesitate to send in your resume! Making it personal with AI We truly believe you’ll position yourself best for success in the interview process by being yourself with support from AI where it makes sense, later in the process you will even be expected to use AI. But at the end of the day, what matters is meeting you, the person behind the application. There is no such thing as a perfect candidate; we’re all human so please, bring your authentic self! Don’t let AI over polish your CV or answers to the point where we can’t hear your real voice because that’s what we care about the most.

Hemnet

Are you a skilled Analytics Engineer with a passion for transforming raw data into high-quality, actionable insights? Join Sweden's largest property portal to design the data solutions that power our business decisions. As the most popular real estate portal in Sweden, Hemnet receives over 40 million visits every month from people looking for their next home. We are a data-heavy organization, and we strive to make data-informed decisions the standard for everything we do. About the role 🍏 As an Analytics Engineer, you will be a key player in our journey to empower the organization to become more data-driven. Sitting within the Analytics team, you will act as a vital bridge between raw data and meaningful business logic. Because this role connects technical infrastructure with business needs, strong communication is essential. By focusing on the "back end" of business intelligence to ensure our data is clean, reliable, and well-modeled, you will play a crucial part in helping Hemnet continuously improve and become better for everyone. What you’ll do 💥 * Build and develop data models, taking responsibility for structuring the data that forms the foundation for analysis, reporting, and future AI solutions. * Conduct analysis and ad-hoc explorations to answer complex business questions, helping stakeholders across Hemnet turn raw data into insights. * Improve our self-service capabilities, enabling more colleagues to find answers independently through robust data architecture. * Occasionally support the development of essential reports and dashboards to ensure data is visualized effectively. Who we think you are 🤩 In order to be successful in this role we believe that you have an educational background with a strong technical focus and a few years of experience working as an Analytics Engineer, Data Analyst or Business Intelligence Developer. As a bridge between technical and business teams, you excel at tailoring your communication and insights for everyone from Sales and Business Development to the leadership group. * Strong SQL and sound judgement in data modelling. * Professional experience with dbt. * Passionate about using your data models to solve real-world business problems alongside your stakeholders. * Experience partnering across departments and strong business acumen. * Excellent written and verbal communication skills in English and Swedish. * Bonus if you have experience in: - Tableau - A semantic or metrics layer - AI-powered self service analytics - Python I am your new manager 👋 My name is Thomas Hanusek. I joined Hemnet about four years ago. Prior to that, I drove analytics for more than 20 years across different companies. My passion at work is really about seeing how Data & analytics can drive product and business development in the best way possible. As a leader, I am a huge fan of seeing how a team can come together and, through their different skills, create magic. My aim is to be supportive and humble, and to create an environment where you feel trusted, challenged, and empowered to grow. A Note on Inclusion 💚 At Hemnet, we believe that diversity in gender, sexual orientation, ability, neurodiversity, cultural background and life experience makes us stronger. We welcome applicants of all identities and backgrounds. If you meet many but not all of the requirements, we encourage you to apply. We value curiosity, a strong sense of purpose and the motivation to learn and grow, alongside your skills and experiences. An Office-First Culture 🙏 Our office in central Stockholm is the true hub of our company culture. We are proudly an office-first team because we deeply value face-to-face collaboration and believe our best work happens when we are together. While we understand the need for occasional flexibility, we strongly prioritize in-person teamwork over remote work. Because our office is the center of our daily operations, it is essential that you are based in or near Stockholm. Please note that we're unable to provide relocation assistance for this opportunity.

Legora AB

About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need Strong proficiency in SQL and Python. Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have Experience in a product-led or SaaS environment, ideally B2B. Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. Thrives in a fast-paced environment where the answers aren't always clear and processes are few. Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

Legora

ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: * Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. * Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. * Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. * GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing * Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. * Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. * Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. * Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. * Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. * Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need * Strong proficiency in SQL and Python. * Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. * Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. * Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: * Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) * Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) * Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) * Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have * Experience in a product-led or SaaS environment, ideally B2B. * Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. * Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who * "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. * Thrives in a fast-paced environment where the answers aren't always clear and processes are few. * Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to.   Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

H & M Hennes & Mauritz GBC AB

Job Description WHAT YOU’LL DO Lead the design, maintenance, and evolution of conceptual and logical information models that enable shared understanding of core business concepts across the organization. Own and contribute to central information architecture artefacts such as the Enterprise Data Model and Data Domain Map, ensuring alignment across domains and initiatives. Drive the definition and consistent use of business terminology, taxonomies, and ontologies, enabling a common language between business and technology. Collaborate closely with business stakeholders, data product teams, solution architects, and engineers to translate business needs into clear information models that guide downstream implementations. Define and maintain standards, guardrails, and best practices for information architecture and modelling, ensuring they are pragmatic and usable in a fast‑changing environment. Ensure that information models support interoperability, reuse, and long‑term scalability across the solution landscape. Assess current (as‑is) data flows for core business objects and design target (to‑be) views that support future business needs. Actively support and enable data governance and metadata practices, in close collaboration with Data Governance colleagues. Educate, guide, and coach stakeholders and architects, helping to embed information architecture thinking across teams. Contribute to continuous improvement of architecture tooling and ways of working, including integration with data catalogues and metadata management tools. WHO YOU’LL WORK WITH You will work closely with business domain experts, Data Domain Owners, Data Stewards, solution architects, data engineers, analytics teams, and data governance colleagues. Together, you will establish shared language, trusted information structures, and clear architectural guidance that support data‑driven initiatives and future AI and analytics use cases. WHO YOU ARE We are looking for someone who has: Several years of experience working as an Information Architect or in closely related architecture roles, with a strong focus on conceptual and logical modelling. Proven ability to translate complex business concepts into clear information models, taxonomies, and definitions. Experience working with enterprise‑level architecture artefacts such as enterprise data models, domain maps, or similar structures. Strong understanding of how information architecture, data management, and data governance work together. Experience defining and documenting standards, guardrails, and modelling guidelines. Hands‑on experience with architecture and modelling tools (e.g. Sparx EA, Erwin, LeanIX or similar) and familiarity with data catalogues or metadata tooling. Hands‑on experience with ontology or semantic standards (e.g. RDF, OWL, SKOS, SPARQL) or equivalent conceptual modelling approaches. Strong communication and facilitation skills, with the ability to educate and influence both business and technical stakeholders. And someone who: Has a holistic mindset, seeing the big picture while still being able to work hands‑on with models and definitions. Is comfortable operating in a low‑maturity environment, helping the organisation move step‑by‑step toward more structured and shared ways of working. Can take ownership, work independently, and drive progress without everything being fully defined upfront. Enjoys mentoring and coaching others, contributing to a strong and collaborative architecture community. Is curious, pragmatic, and motivated to continuously improve how information is structured and understood across the organisation. Additional Information WHO WE ARE​ H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​ ​We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​ ​WHY YOU’LL LOVE WORKING HERE ​ We offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries. JOIN US​ Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.​ ​Take the next step in your career together with us. The journey starts here.​ ​ *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.​

Avaron AB

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will shape a governed self-service data platform in a complex global retail environment where centrally managed reporting, domain-owned data products, and enterprise integration need to work together. The focus is on building the architecture capability for a self-service data platform and creating the patterns, guardrails, and target-state decisions that help teams scale with control. You will work closely with stakeholders across data, platform, governance, security, IAM, cloud, and domain teams, while also supporting a reporting organization working with Microsoft Power BI and Microsoft Fabric. This is a strong opportunity to influence platform direction, governance, and architecture choices in a modern data landscape. Job DescriptionYou define and evolve the target-state architecture and platform guardrails for the self-service data platform. You guide architecture decisions in Microsoft Fabric across Lakehouse, Warehouse, Pipelines, Dataflows, notebooks, semantic models, APIs, and integrations. You create reusable patterns for workspaces, environments, capacity, tenant setup, deployment, and lifecycle management. You shape data-product patterns covering layering, data contracts, metadata, lineage, versioning, and consumption standards. You design governance approaches for catalog strategy, quality frameworks, federated governance, and platform controls. You define integration patterns for APIs, batch, events, CDC, D365, Dataverse, and legacy-source connectivity. You support secure access models, environment separation, retailer segregation, and identity patterns. You assess when Microsoft Fabric is the right fit and when other platforms or tools, such as Databricks, should be considered. You contribute architecture reviews, Architecture Decision Records, and technical guidance across both the platform and reporting domains. RequirementsStrong and demonstrable data-platform architecture experience, including ownership of scalable platform designs rather than only individual solutions or pipelines. Strong Microsoft Fabric, Azure data-platform, or equivalent modern cloud data-platform experience with a clear transfer path to Fabric. Deep understanding of lakehouse architecture, data warehousing, data modeling, and data-product patterns. Strong understanding of governance, security, IAM, lineage, metadata, and operational requirements at design level. Experience with integration patterns including APIs, batch, events, CDC, and legacy-source connectivity. Proven ability to create, communicate, and defend Architecture Decision Records with senior stakeholders. Ability to define standards, guardrails, and reusable patterns that delivery teams can adopt. Minimum approximately eight years of data-platform experience with demonstrable platform-level architecture ownership. You communicate clearly in English. Nice to haveExperience with Databricks, Azure Data Lake, Azure Data Factory, or Synapse. Experience with Microsoft Purview, including catalog, Data Map, lineage, and governance tooling. Knowledge of Fabric domains, workspace design, deployment pipelines, and tenant-level setup. Experience from D365 F&O, Dataverse, CORE, or similar enterprise source systems. Experience with data mesh, domain-owned data products, or federated governance. Exposure to platform operations, observability, FinOps, and SLA or SLO design. Experience from franchise, retail, or multi-entity data-segregation scenarios. Relevant certifications such as DP-600, DP-700, or Azure Solutions Architect Expert. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers, with its world leading groups in functional programming and formal methods, provides the ideal environment for research on programming with formal guarantees — a topic of increasing practical importance. About us  The https://www.chalmers.se/en/departments/cse/, a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact.  At the https://www.chalmers.se/en/departments/cse/our-research/computing-science/, we advance secure and trustworthy software and systems, spanning foundations, programming languages, tools and practical methods that help shape dependable digital infrastructures.  You will be joining a highly collaborative and international environment spanning the Functional Programming and Formal Methods units. We conduct world-leading research in programming language design, semantics, interactive theorem proving, and formal verification. About the research project We are looking for two Postdocs with a strong background in functional programming to join our dynamic environment. We have two rather flexible subprojects, and we want to recruit the best functional programmers and tailor the exact research focus to your unique strengths. Depending on your background and interests, you will have the opportunity to contribute to our ongoing research initiatives. These range from exploring the foundations of programming languages (such as advanced type systems and functional logic programming) to bridging the gap between ad hoc array processing and formally verified functional programming using interactive theorem provers. Who we are looking for  The following requirements are mandatory:  A doctoral degree (or equivalent foreign degree) in Computer Science, Mathematics, or a related field. This eligibility requirement must be met no later than the time the employment decision is made. Strong written and verbal communication skills in English. A solid background in functional programming. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application:  We expect you to have documented expertise in one or more of the following areas: Programming language semantics and type systems Functional logic programming Property-based testing Interactive theorem proving (such as Agda, Lean, or Rocq) Domain-specific languages (for example, for hardware design or parallel programming) Array or tensor programming Applications to physical sciences, dimensional analysis, or climate impact modeling It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline. What you will do As a Postdoc, you will drive independent and collaborative research to push the boundaries of functional programming and formal methods. In addition to theory development, your work will have the potential to scale algebraically-accountable architectures to high-stakes, continuous domains, encompassing foundational research, formal verification, and language design. Working closely with the core research team (Patrik Jansson, Koen Claessen, and Mary Sheeran), you will develop novel techniques, prove their properties, and co-author high-quality scientific publications. Beyond your core research, you will have the rewarding opportunity to mentor MSc or PhD students, sharing your expertise with the next generation of computer scientists. Extent: 100% employment, distributed as 80% research and 20% departmental duties (typically teaching at the BSc or MSc level). The position is meritorious for future roles in academia, industry, or the public sector. Contract terms   The position is a temporary full-time employment for two years with the possibility of a one-year extension.  The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.  What we offer  As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about  https://www.chalmers.se/en/about-chalmers/work-with-us/ and our https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/  for employees.  A dynamic and inspiring working environment in the coastal city of https://www.goteborg.com/en.  Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at https://www.movetogothenburg.com/  Chalmers is dedicated to improving gender balance and actively works with equality projects, such as https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality/genie-gender-initiative-for-excellence/. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.  If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.  Application procedure  The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.  CV  A comprehensive CV, including a complete list of publications.  Details of previous teaching and pedagogical experience.  Personal letter  A brief introduction about yourself.  A summary of your previous research fields and key research outcomes.  An outline of your future goals and research focus. Please clearly outline your specific research interests and indicate which of the listed expertise areas align best with your background. Use the button at the foot of the page to reach the application form.       A background check may be conducted as part of the application process.     Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.    We welcome your application no later than Sunday 2026-08-16.