Sökresultat för "Data Transformation"

Are you passionate about connecting systems, streamlining data flows, and building integration solutions that drive business value? The Integration Developer will work closely with architects, analysts, and business stakeholders to develop robust and secure integrations that align with business needs and technology standards. Some of your key responsibilities: Develop, test, deploy, and maintain integrations across cloud and vessel environments Design and support Azure Logic Apps, Service Bus, API Management, and API-based solutions Collaborate with Product Owners, architects, developers, and business analysts to deliver effective integration solutions Translate business and regulatory requirements into technical solutions that support compliance and operational needs Connect internal business systems with external partners, authorities, and institutions within the maritime industry Design and operate event-driven integration flows using event brokers (e.g. Azure Event Hubs, Service Bus, or Kafka/Confluent) and patterns such as event sourcing, CQRS, and the outbox pattern Monitor, troubleshoot, and enhance existing integrations to ensure stability, performance, and reliability Contribute to automation and digitalization initiatives while maintaining clear technical documentation and supporting DevOps practices What you will experience As a Stena Line employee in Sweden, we offer you an additional benefits package consisting of travel discounts, health allowance, well-being activities, access to a benefits portal, and much more. Based in our Gotheburg office, this role follows an office-first approach, allowing you to work closely with a collaborative team of experienced integration developers. Who are you? At Stena Line, your personal qualities matter just as much as your skills and expertise. Regardless of the role, being welcoming, caring, and reliable guides you in your everyday work and the challenges you face. We believe you are a collaborative, solution-oriented, and proactive person who enjoys working across both technology and business. Since the role involves coordinating with multiple stakeholders and ensuring business-critical integrations run smoothly, strong communication skills and the ability to build relationships are key. You are also structured and detail-oriented, understanding the importance of quality, compliance, and documentation in a highly regulated environment. Qualifications: Relevant academic degree or comparable work experience within the field Proven experience designing, implementing, maintaining, and supporting integrations between cloud-based and vessel-based applications Strong experience in enterprise integration, including APIs, middleware, messaging platforms, and Azure Integration Services (Logic Apps, Service Bus, API Management). Good knowledge of REST, SOAP, GraphQL, and API security standards (OAuth, JWT, API Gateways) Solid understanding of cloud integration platforms and services Experience working with data transformation and processing technologies, including JSON, XML, XSLT, and SQL Familiarity with DevOps practices and tools, including CI/CD pipelines, Git, Docker, Kubernetes (OpenShift – our managed Kubernetes environment), and automation frameworks Proficiency in programming languages such as Python, C#, and JavaScript Good understanding of integration security best practices, including encryption, authentication, authorization, and secure data exchange Knowledge of regulatory and compliance requirements related to integration and data handling, including GDPR and the NIS2 Directive Highly meritorious qualifications Experience within freight, logistics, and supply chain integration environments; experience from the maritime industry and understanding of relevant regulations is highly valued Event-driven architecture in production, including event brokers (Azure Event Hubs, Service Bus, or Kafka/Confluent) and patterns such as event sourcing, CQRS, the outbox pattern, and independent consumers Event and API contract governance, including schema registries, AsyncAPI/CloudEvents, and versioning of event contracts across teams Data platform foundations for analytics, such as lakehouse patterns (Delta/Iceberg), medallion architectures, or semantic layers (e.g. Dremio) MLOps enablement, supporting data scientists with tools such as Azure ML, including model deployment, feature pipelines, and monitoring model inputs in production A platform engineering mindset, building self-service capabilities (IaC modules, golden paths, CI/CD templates) that let product teams ship independently Fluency in both English and Swedish is highly valued Interested? This is a full-time, permanent position based in Gothenburg within our Fleet Operations Digital department. To apply, please register your profile and send in your application in English as soon as possible but no later than 16 August, 2026. We are having an ongoing selection, so do not wait with your application. To ensure the secure and structured processing of your personal data, we only accept applications submitted through our online recruitment system. We have collective bargaining agreements with Unionen, among others, who you can contact for more information. Please note that we kindly decline any offers from recruitment or staffing agencies regarding this recruitment. We may conduct background checks as part of our efforts to ensure the quality of our recruitment process. If you have any questions regarding the position, you are welcome to contact Tommy Linnarskär, Digital Engineering Manager at tommy.linnarskär@stenaline.com or about the recruitment process you are welcome to contact Hedwig Blixt, Talent Acquisition Partner, hedwig.blixt@stenaline.com. About Stena Line As a leader in sustainable shipping, Stena Line has Europe's most comprehensive route network focusing on transportation of both passengers and freight. We have over 8,750 employees in our Stena Line family across Scandinavia, around the UK and the Baltics, making a contribution to our company. Working at Stena Line means having a safe and stable workplace and a great work-life balance. We are committed to maintaining and developing a sustainable working environment, free from harassment, that gives equal opportunities to everyone. We embrace equality, diversity and inclusion – and welcome all applicants.

What will you do? As a Senior Analytics Engineer at Rebtel, you are the person who makes data trustworthy and usable at scale. You sit at the heart of our data platform, sitting between the pipelines that bring data in and the teams who rely on it to make decisions every day. Your job isn't to do the reporting; it's to make great analytics possible for everyone else. This is a hands-on engineering role with real ownership. You'll take charge of our transformation layer in dbt, own the semantic layer in Looker, and make sure that data across the organization is well-modeled, tested, documented, and trusted. You'll work closely with our Data Engineer on platform quality and standards, and partner with stakeholders across product, growth, finance, and operations to turn their data needs into solid, self-service data products. If you care deeply about data quality and believe that good engineering is what makes analytics possible; if you get satisfaction from turning raw, messy data into something clean and reliable; if you want to be the person the rest of the company depends on when they need to understand a metric or find the right dataset, we'd love to talk. Areas of ownership: Design, build, and maintain data transformations in dbt, including facts, dimensions, and data marts, that power self-service analytics across the company Own Rebtel's semantic layer: write and maintain LookML, manage Looker platform administration, and make sure the self-service experience is accurate, discoverable, and scalable Enforce data quality through rigorous testing, validation, and monitoring throughout the transformation layer Drive data documentation and literacy, making data easy to discover, understand, and use for both technical and non-technical audiences, including AI agents Optimize query performance and improve efficiency across our Snowflake data platform Partner with the Data Engineer on modeling standards, platform reliability, and end-to-end pipeline quality Work with stakeholders across the business to understand their data needs and turn them into reliable, well-structured data products Stay current with analytics engineering best practices and help shape how we build, govern, and evolve our data platform Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 5+ years of experience in Analytics Engineering, Data Engineering, or a closely related role Strong SQL skills and hands-on production experience with dbt Experience owning a semantic layer, with LookML and Looker strongly preferred Solid understanding of dimensional modeling and analytics engineering best practices and architectures Familiarity with Snowflake or similar cloud data warehouses Experience with Git and CI/CD workflows Strong documentation and communication skills; you can explain data to both engineers and business stakeholders Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

På Trice vill vi göra skillnad på riktigt och skapa något som håller över tid. Hos de flesta konsultbolag blir du en resurs. Hos oss blir du en problemlösare som faktiskt påverkar. Vi är ett nyfiket och kompetent team som bygger något annorlunda, där teknik möter affär och ledarskap. Just nu växer efterfrågan på data engineering i flera av våra projekt, därför söker vi fler nyfikna problemlösare som vill växa med oss!    Om rollen  Som Data Engineer hos Trice bygger och underhåller du inte bara data pipelines och data-plattformar i molnet, du bidrar med helhetslösningar som löser våra kunders behov av relevant data av hög kvalitet, redo att användas av både människor och AI-system.  Du dyker djupt in i datan, hittar mönster och hjälper användarna att se saker de inte såg förut. Du jobbar nära projektledare, utvecklare och arkitekter för att utveckla våra lösningar, håller dig uppdaterad på ny teknik och nya verktyg och bidrar till att höja den tekniska nivån i projekten.   Om dig  Du har 5 år+ erfarenhet av data engineering och dataanalys, med fokus på att leverera relevanta, högkvalitativa dataprodukter som stöd för både mänskligt beslutsfattande och automatiserade flöden  Du har arbetat med moderna dataplattformar i molnmiljöer (t.ex. data lakehouses, data meshes eller liknande)  Du har god förståelse för både batch- och strömbaserad databehandling  Du har erfarenhet av att klassificera data och hantera åtkomstkontroll och informationssäkerhet  Du är bekväm med att använda AI-assisterade verktyg (t.ex. Cursor, Claude Code, GitHub Copilot) där det är relevant – och att granska kod och arkitektur  Det är meriterande om du har erfarenhet från flera molnplattformar (AWS, GCP, Azure) och verktyg som Snowflake, Databricks och dbt   Flytande svenska och engelska i tal och skrift    Om oss på Trice  Välkommen till ett konsultbolag som kombinerar digital spetskompetens med ett långsiktigt värdeskapande för kunder som också bryr sig om meningsfull utveckling. Vi är ett lyhört och snabbrörligt bolag med ca 12 medarbetare på en rolig expansionsresa. Grundade av erfarna ledare med bakgrund från växande scale-up-företag, är vår mission att driva positiv förändring i stor skala. Vi tar oss an komplexa utmaningar med innovativa lösningar och jobbar för en bättre framtid för organisationer i den digitala eran.    START: Enligt överenskommelse  PLATS: Göteborg   OMFATTNING: Heltid   LÖN: Fast lön   KONTAKT: Senior Recruiter, Mikaela Ehk mikaela.ehk@oddwork.se (för frågor om tjänsten, ej ansökningar)  SISTA ANSÖKNINGSDATUM: Urval sker löpande    Som ledande byrå inom employer branding och rekrytering är vi här för att revolutionera vår bransch, matcha talanger med företagskulturer och stärka organisationers arbetsgivarvarumärken. Nyfiken på att veta mer? Välkommen in i Oddworks värld genom att klicka här eller hitta fler karriärmöjligheter här.

Assignment description We are looking for a Data Scientist for our customer. Job description: We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform. Responsibilities •Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements. •Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle. •Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance. •Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs. •Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model. •Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models. •Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams. Required Skills •Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming) •Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution). •Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test. •Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. Strong SQL skills for data manipulation and analysis. •Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation. •Comfortable working in Agile, cross-functional teams. •Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.  Required cloud certification: No

Job Description WHAT YOU’LL DO We are looking for a Data Analyst to join our team for a fixed-term duration of 14 months, covering a parental leave. You’ll bring a solid technical foundation, problem-solving aptitude, and a passion for contributing to a collaborative team environment within sustainability topics. The primary focus is developing high-quality analyses that meet our Resource Use and Circularity sustainability needs and technological standards. You will be contributing to the short- and long-term priorities aligned with the PI roadmap. Some of your responsibilities will include Understanding the added value of product / team’s work. Following up OKRs through setting and following up KPIs. Data discovery, building data products, testing and evaluating model outputs, in collaboration closely with other roles in the product / team, i.e. DE, Business Expert, etc. Solving complex problems by turning vast amounts of data into business insights through advanced analytics and effectively communicating findings to a variety of stakeholders. Framing the problem together with stakeholders, exploring large data sets, preparing data for own analysis. Creating and maintaining documentation related to your work to ensure that stakeholders have the necessary information to understand the data & analysis of input/outputs. Sharing knowledge in Communities of Practice, thereby enriching collective understanding and fostering a culture of continuous learning. WHO YOU’LL WORK WITH You will be part of Tech Sustainability team in Corporate Tech Domain. You will work closely with the data analysts from all sustainability areas and the program manager and data engineer from your scope. WHO YOU ARE We are looking for people with… Academic degree in Statistics, Engineering or related field. Proficiency in Power BI as data visualization and reporting tool. High proficiency in SQL. Proven ability to independently lead data projects, maintain strong relationships with business stakeholders, and design technical solutions that address complex business requirements. Strong experience with data modelling, and different connectors for data solutions (Big Query, SharePoint). Experience with Google Cloud environment, data quality and testing. It is also preferred to have... Working knowledge of Python and/or R for data analysis, automation, and statistical modelling. Experience working with sustainability data or CSRD legal reporting. Experience with BigQuery, Dataform, dbt, or similar cloud-based data transformation frameworks. Knowledge of data governance, data lineage, metadata management, and master data management practices. Understanding of sustainability reporting standards and regulations (e.g., CSRD, ESRS). And people who have… Experience working in agile, iterative product development environments. A Proactive, ownership-driven attitude with the ability to manage ambiguity and adapt quickly to change. Curiosity and a continuous improvement mindset. A collaborative approach, always looking for ways to enhance the product and the team’s ways of working. 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 At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. All our employees are included in our H&M Incentive Program (HIP) 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, Afound. A dynamic, entrepreneurial environment where your insights directly influence strategic decisions. A collaborative culture that values innovation, continuous learning, and knowledge sharing. 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.

På ABB hjälper vi industrier att bli mer resurseffektiva och renare – och varje person här bidrar till resultaten. Du kommer att få möjlighet att leda, få stöd att växa och kunna vara stolt över den påverkan vi skapar tillsammans. Gå med oss och hjälp till att driva det som driver världen. Denna position rapporterar till: Portfolio Manager __ The Center of Expertise plays an important role in developing life-cycle management strategies, service concepts, and technical knowledge tools for motors and generators produced in Sweden. As our organization continues to develop its data-driven ways of working, we are now looking for a person who is passionate about understanding the business and translating business needs into scalable, reliable, and value-creating data solutions. In this role, you will take an active part in mapping and understanding our data landscape, including data flows, business processes, and the logic that connects them. You will support the organization in areas such as data modelling, semantic views, data quality, verified business logic, and identifying where AI-enabled solutions can improve business processes and decision-making. You will work closely with stakeholders across the business to identify improvement opportunities, support existing data processes, and help migrate, transform, and modernize solutions where needed. A key part of the role will be to contribute to long-term data models and strategies that enable better insights, more efficient reporting, and stronger decision-making. Qualifications for the role Experience in data-related areas such as SQL, BI, data modelling, semantic layers, data quality, or data transformation. Ability to identify and apply AI-driven workflows to create measurable business value. Familiarity with data platforms such as Snowflake, Databricks, or similar environments. Knowledge of PowerPlatform is considered a plus. Strong interest in understanding business processes and translating them into clear data needs and practical solutions. Good collaboration and communication skills, with the ability to work closely with stakeholders across the organization. Fluency in both Swedish and English, written and spoken, is a must. More about us ABB Motion High Power (MOHP) Division offers a comprehensive product portfolio of large AC motors and generators. From general purpose to highly customized designs, synchronous motors provide high efficiency, reliability and availability across all major industries and applications, including some in the toughest and most demanding environments. The division also has a long track record of designing and building generators for wide range of industries, including power generation, marine, oil and gas, mining, and data centers. Hiring Manager Josef Evindar +46 72 720 60 01 will answer your questions about the position. Union representatives; Unionen: Katja Saari, +4673- 077 05 02; Ledarna: Mats Wahlund, +4676- 769 80 0; Sveriges ingenjörer: Håkan Sjöberg, +4670- 396 0002. All other questions can be directed to Talent Partner Robert Norén +46 72 461 20 95. We look forward to reading your application in PDF format. Please note that the interview process is ongoing, apply now to secure your spot in the recruitment process! Last day to apply is 13th of August. Please note that to be eligible for employment at ABB Sweden, you will need to pass our pre-employment screening steps. This includes a reference check, a drug test, and could also include an extended background check. We kindly decline direct contact with staffing and recruitment agencies as well as sellers of additional job advertisements. För att bygga en renare och smartare framtid krävs alla sorters människor: de nyfikna, de modiga och de kreativa. Därför välkomnar vi människor med alla bakgrunder och erfarenheter. Är du redo att göra skillnad? Ansök idag eller besök https://www.abb.com för att lära dig mer om hur våra lösningar påverkar hela världen.

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are looking for an Analytics Engineer to join the team in Stockholm. About the Team We are proud of our ability to combine technical expertise with sound business sense. This translates to solutions that are not only effective in addressing current challenges but also sustainable long term. Our team is composed of Analytics Engineers and Data Engineers, fostering a collaborative environment that enables us to manage data end to end – from optimizing data pipelines to developing user-friendly models for analysis. Our technology stack includes BigQuery (SQL), Looker, dbt™, and Google Cloud Platform, with opportunities to evaluate and introduce new technologies as we scale. About the Role As an Analytics Engineer, you'll work with developing data capabilities that power decisions across our global organization. You'll have significant technical and organizational impact, driving both immediate solutions and long-term strategic initiatives. Examples of responsibilities: * Develop data transformation steps and build a strong data modeling foundation for enabling self-service analytics across the company. * Build and maintain trusting, working relationships with business partners across domains and discover high-impact opportunities to enable self-service analytics in our semantic layer. * Strategically plan and deliver meaningful projects to increase data literacy at Storytel. * Lead the resolution of critical data issues, establishing monitoring systems and best practices to prevent future problems and improve data reliability. * Collaborate with data practitioners to understand their needs and requirements, breaking down complicated technical concepts to fit the audience. * Drive adoption of technical best practices across the data team, mentoring others and bringing in industry innovations that improve how we work. We believe that you have * Experience with creating and maintaining semantic layers. * Experience in working with data (BI/Analytics/Data Engineering) specializing within Analytics Engineering. * Deep expertise in SQL and data modeling and extensive experience with modern data stack technologies (e.g., dbt™, Looker, BigQuery, or equivalent tools). * The ability to consistently deliver performant, accurate, and scalable solutions. * Experience mentoring junior engineers and driving team-wide technical improvements. * Proven ability to lead complex data projects, solve problems independently, and proactively improve products. * Excellent communication skills with the ability to explain complex technical concepts to various audiences. * The ability to thrive in a feedback culture and constantly strive to improve your own skills and knowledge. Bonus if you experience * Working with Python. * With data governance and access management. * With different data modeling schemas. * Working with international teams and global data operations. JOIN A WORLD OF STORIES At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you’re all set. Does this sound like you? If you feel like Storytel is a place where you could thrive, please submit your application in English and we will contact you as soon as possible.

Job Description WHAT YOU’LL DO​ As a Senior Data Scientist, you will work hands on to solve complex business and product problems using data and machine learning. You will collaborate closely with cross functional teams and be expected to work pragmatically, navigate ambiguity, and focus on delivering measurable impact. Own and contribute to data science initiatives end to end, from understanding problem statements and exploring data to building, deploying, and maintaining models in production. Design, deploy, and operate LLM‑powered tools and workflows in production, with responsibility for evaluation, monitoring, and continuous improvement Apply statistical methods, machine learning, and advanced analytics to support product and business decisions. Develop, test, and improve models and data‑driven solutions with a strong focus on quality, scalability, and long‑term maintainability. Take responsibility for solutions after deployment, including monitoring, troubleshooting, and iterative improvements. Perform exploratory and ad hoc data analysis, and present insights in a clear and structured way. Communicate closely with stakeholders to translate business needs into analytical approaches and explain outcomes in an accessible manner. Contribute to technical standards, best practices, and knowledge sharing within the data science community. ​ WHO YOU’LL WORK WITH​ You will work in cross‑functional teams together with colleagues in product, engineering, analytics, and business roles. You will also be part of a broader Data Science community, collaborating with other data scientists to share knowledge, align on best practices, and continuously improve how data science is applied across the organisation. ​ ​ WHO YOU ARE​ We are looking for people with…​ ​A Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field. Strong theoretical and practical knowledge of statistics and machine learning. Proven experience developing and deploying machine learning models in cloud environments beyond notebook‑based work. Hands‑on experience building and deploying LLM‑based applications, including fine‑tuning, retrieval pipelines, and prompt engineering. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, LangChain, or similar libraries. Practical experience with MLOps practices, CI/CD pipelines, and model monitoring, ideally in a cloud environment. And people who are…​ Strong in their SQL skills for data manipulation and analysis Familiar with DBT or similar data transformation tools​ Experienced with vector databases and embedding models Excellent communicators and confident taking ownership and accountability Comfortable working in ambiguity while being proactive ​Please note that we will not be able to offer relocation for this role, so we will not be able to proceed with candidates living/working outside of Sweden. 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 ​ At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. ​ We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. 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. ​30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year (from Jan 1, 2026) Benify Benefits Portal Community with activities 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.

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 play a key role in building and evolving modern data products in a cloud-first environment on Google Cloud Platform. The focus is on creating reliable, scalable, and secure data pipelines that support a clear target vision while enabling better data sharing across domains. In this role, you will work end to end with both new and existing pipelines, from development and optimization to support and continuous improvement. You will help shape how data products are built as independent deployment units, with strong standards for security, observability, performance, and scalability. You will also work closely with product and business stakeholders to define the direction of data products and identify opportunities where better data capabilities can support changing business needs. If you enjoy combining hands-on engineering with influence over ways of working, architecture, and platform quality, this is a great opportunity to make a real impact. Job DescriptionYou will take end-to-end responsibility for building, optimizing, and supporting data pipelines in GCP. You will drive a DevOps way of working and manage CI/CD pipelines, Terraform, and cloud infrastructure. You will design data products as independent deployment units that meet defined standards for security, scalability, observability, and performance. You will collaborate with the Product Manager and key stakeholders to shape the vision for data products and identify new opportunities. You will work with product teams across different domains to enable data sharing and integration in a data mesh context. You will contribute to continuous improvement in data engineering practices and help reduce technical debt. You will stay current within data engineering, analytics, and cloud technologies to support long-term platform development. RequirementsExperience building, optimizing, and supporting data pipelines end to end. Strong hands-on work with Google Cloud Platform. Experience working with CI/CD pipelines, Terraform, and cloud infrastructure. Ability to design data products with focus on security, scalability, observability, and performance. Experience collaborating with product teams and stakeholders to support data sharing and integration. A DevOps mindset and a drive to improve engineering practices and reduce technical debt. Nice to haveExperience with GCP services such as Cloud Run. Exposure to large-scale data processing and orchestration frameworks such as Spark, Beam, or Hive. Experience with data formats such as Avro, Parquet, Iceberg, or Hudi. Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders. 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.

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 take on a role where advanced optimization meets production-ready machine learning. In this environment, model outputs are not just used for analysis—they are part of an AI product that needs to stay robust, scalable, and useful in day-to-day decision-making. You will work close to both technology and business, turning analytical findings into solutions that create clear value. This role is well suited to you if you enjoy moving between optimization, data engineering, MLOps, and stakeholder dialogue. You will help strengthen an existing optimization model, improve the surrounding data flows, and make sure the deployed solution continues to perform reliably in production. It is an interesting opportunity for you if you want to combine deep technical work with real influence on how AI products evolve. Job DescriptionYou will maintain and improve an existing optimization model by identifying weaknesses and implementing practical enhancements. You will present model outputs and analytical findings to stakeholders, translate business needs into technical solutions, and bring feedback back into the product. You will monitor and maintain the deployed AI product on GCP to ensure strong performance, robustness, and efficiency. You will improve data preparation and wrangling pipelines and integrate additional data sources to strengthen model inputs. You will work closely with Data Scientists, ML Engineers, and Product Managers to improve model performance, reliability, and scalability. You will implement MLOps best practices for deployment, monitoring, and lifecycle management of machine learning models. You will carry out ad-hoc analyses and create visualizations that support data-driven decisions across teams. You will contribute to a Python codebase where clean structure, maintainability, and production readiness are important. RequirementsSolid knowledge and experience in discrete optimization models, including Integer Programming and Mixed Integer Programming. Strong Python skills with the ability to write clean, efficient, modular, and production-ready code. Experience developing and deploying ML models in the cloud beyond notebook-based coding and execution. Experience working with GCP for data and deployment workflows. Hands-on experience with MLOps and CI/CD pipelines. Strong SQL skills for data manipulation and analysis. Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation. Comfort working in Agile, cross-functional teams. Ability to communicate clearly with stakeholders and turn business requirements into technical solutions. 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.

Join the Data & AI journey at Schibsted Media Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Data Engineer who wants to help build reliable, scalable, and well-governed data products used across our media brands. In this role, you will work at the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve data pipelines, and collaborate closely with stakeholders across Finance, HR, Product, Subscription, and other Data & AI teams. You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. About the role We are looking for someone who enjoys building solid data solutions and working closely with others to turn business needs into useful, maintainable data products. You do not need to have all the answers, but you should be curious, structured, and willing to take ownership of your work. You will contribute to how we build data as a product, including creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data. As part of a newly formed team of Data / Analytics Engineers, you will work with fellow data engineers, collaborate with adjacent teams, and help improve our engineering practices over time. You'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey. What you will do Collaborate with stakeholders to understand needs, clarify requirements, and deliver pragmatic data solutions Design, build, and maintain data pipelines using technologies such as Snowflake, dbt, and Airflow Develop maintainable data models that support analytics, reporting, and AI use cases Contribute to good practices for data modeling, transformation, testing, documentation, and governance Work with other Data & AI teams to align on platform capabilities, standards, and shared ways of working Help improve reliability, performance, cost-efficiency, and scalability of our data solutions Participate in code reviews, technical discussions, and continuous improvement of our ways of working Contribute to a culture of ownership, learning, and collaboration What we are looking forMust have 3+ years experience as a Data Engineer, Analytics Engineer, or similar role Strong SQL skills and good understanding of data warehousing concepts Experience building data pipelines or data models for analytics, reporting, or product use cases Experience with modern data transformation or orchestration tools, such as dbt, Airflow, or similar Ability to take ownership of tasks and deliver maintainable solutions Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and willingness to learn from and contribute to the team Nice to have Experience with Python or scripting for data engineering workflows Experience with Snowflake, dbt, Airflow, or similar tools Experience with CI/CD, version control, and engineering best practices Experience with cloud platforms such as AWS, GCP, or Azure Interest in data quality, observability, governance, or access control Experience working in a cross-functional or product-oriented environment Why join us? Opportunity to build trusted data products with real impact across Schibsted Media A role with ownership, learning opportunities, and support from experienced colleagues Flexible working hours and hybrid work options with strong trust and autonomy International environment with offices in Oslo, Stockholm, and Krakow Strong learning culture with learning budget and active engineering & AI communities Access to Schibsted’s media products, including premium news and podcasts About you You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value. You are comfortable asking questions, learning from others, and taking responsibility for your work. You like collaborating with stakeholders and teammates, and you want to grow as an engineer while contributing to data products that are useful, trusted, and impactful. When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content. If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.

JOIN THE DATA & AI JOURNEY AT SCHIBSTED MEDIA Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. ABOUT THE ROLE We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. WHAT YOU'LL DO * Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions * Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python * Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media * Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices * Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform * Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams * Develop maintainable data models that support analytics, reporting, and AI use cases * Contribute to good practices for data modeling, transformation, testing, documentation, and governance * Participate in code reviews, technical discussions, and continuous improvement of our ways of working * Contribute to a culture of ownership, learning, and collaboration WHAT WE'RE LOOKING FOR MUST HAVE * 4+ years of experience as a Data Engineer or similar role * Strong SQL skills and a good understanding of modern data warehousing concepts * Experience building data pipelines and working with orchestration tools such as Airflow or similar * Hands-on experience with dbt and modern data transformation practices * Experience with Python for data engineering or automation * Experience with Git and modern software engineering practices * Ability to take ownership of tasks and deliver maintainable solutions * Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. * Collaborative mindset and willingness to learn from and contribute to the team NICE TO HAVE * Experience with software engineering practices such as automated testing, CI/CD, and code review workflows * Experience with Snowflake or similar cloud data platforms * Experience with Infrastructure as Code (Terraform or similar) * Experience with AWS, GCP, or Azure * Interest in data quality, observability, governance, or platform engineering WHY JOIN US? * Build the platform that enables data and AI across Schibsted Media * Work with modern technologies and experienced engineers across multiple teams * Flexible working hours and hybrid work options with strong trust and autonomy * International environment with offices in Oslo, Stockholm, and Krakow * Strong learning culture with learning budget and active engineering & AI communities * Access to Schibsted's premium media products, including news and podcasts ABOUT YOU You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.

We are super excited to announce that Robin Bodin is now looking for an Analytics Engineer to join our Insights & Activation product area, focused on building the trusted data foundation that powers analytics, predictive models, and future AI capabilities across Voyado Engage. Our mission is to make analytics data reliable, governed, and actionable end to end — from canonical data products and semantic standards to the metrics and insights surfaced to customers. As part of this journey, we’re evolving both our data foundations and analytics products to create a more scalable, transparent, and trustworthy platform. We work in short feedback loops, close collaboration with stakeholders, and a strong belief that progress comes from learning and iteration — not just shipping. ABOUT THE ROLE This is not a traditional BI or dashboarding role. Team Intelligence is responsible for the analytics and reporting capabilities inside Voyado Engage. We’re evolving towards a modern analytics foundation where governed datasets, certified metrics and semantic definitions are treated as shared product assets that power both embedded analytics and future AI-driven experiences. As an Analytics Engineer, you’ll build and own the data products behind our customer-facing analytics. Working hands-on with SQL, Databricks and modern data tooling, you’ll model, validate and improve datasets, metric definitions and data quality processes. A key part of the role is identifying inconsistencies, duplicated logic and unclear ownership, and turning that into scalable and trusted solutions. The role sits at the intersection of analytics, product and engineering. You’ll collaborate closely with Product Managers, UX, analytics engineers and domain teams to ensure our analytics are understandable, consistent and reliable for customers SOME OF THE THINGS YOU'LL BE UP TO: - Designing and building governed data products with clear schemas, quality tests, lineage and ownership - Writing SQL to model, transform and validate structured data - Building and maintaining semantic definitions and certified metrics across analytics surfaces - Collaborating with domain teams to improve data quality and upstream ownership - Contributing to documentation, contracts and standards that make analytics reliable and understandable - Supporting the foundation behind embedded BI and future AI-powered analytics capabilities SO, WHO ARE YOU? We’re looking for someone who combines strong technical ownership with a thoughtful and collaborative mindset. You care deeply about data quality, consistency and building systems that others can trust and scale on top of. You probably enjoy turning ambiguous business questions into clear and reliable metric definitions, and you prefer solving problems at the source rather than patching them downstream. You care about details like semantic clarity, documentation and naming conventions because you understand their long-term impact on both people and systems. At the same time, you enjoy collaborating across engineering, product, UX and customer-facing teams to build analytics experiences that are both technically robust and genuinely useful. BESIDES THE ABOVE, WE BELIEVE YOU'VE GOT: - Strong SQL skills for data exploration, transformation and validation - Experience with dbt or similar tooling for governed data transformations - Experience building or maintaining data products, semantic layers or certified metrics - Understanding of concepts such as lineage, data contracts, canonical entities and quality testing - Familiarity with modern data platforms such as Databricks, Snowflake or BigQuery Experience within retail tech, e-commerce, Databricks or lakehouse-style data platforms is considered a strong plus. 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: * An engaged team with a knowledge-sharing and friendly culture * 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. * An office-first but flexible hybrid working policy. 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 agentic CX suite for retail. We help retailers of all sizes to create exceptional experiences – from first click to lasting loyalty. Our products help retailers understand customers, predict behaviors, and deliver personalized journeys that drive conversion and loyalty. With offices in Sweden, the UK, Germany, and the Netherlands, we work with hundreds of leading retailers like H&M, Stronger, Nudie Jeans, and Power. Voyado is backed by Viking Global Investors, Novax, Verdane, eEquity, and H&M Group. READY TO FIND OUT MORE? Lovely! 🎉 Before one applies 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. VACATION PERIOD! As we are heading out for the vacation period, feedback on your application might take a little longer than usual. Don't hesitate to send in your application, though; we'll do our best in getting back to you as soon as possible! 🌴

Om oss På Techrytera AB börjar rekryteringen med dig. Vi är ett bemannings- och rekryteringsföretag med spetskompetens och ett tydligt fokus inom IT och Engineering. Med vår branschkunskap och nära dialog med både kandidater och kunder skapar vi träffsäkra matchningar där rätt kompetens möter rätt behov. Vi tror att en riktigt bra matchning inte bara handlar om en rollbeskrivning – utan om dina erfarenheter, din potential och vad du faktiskt vill utvecklas inom. Därför utgår vi alltid från individen. Genom att förstå din bakgrund, dina drivkrafter och dina ambitioner kan vi koppla ihop dig med uppdrag och roller hos våra kunder där du får rätt förutsättningar att utvecklas och göra skillnad. Vårt mål är att bygga långsiktiga och meningsfulla samarbeten – både för dig som kandidat och för våra kunder. Arbetsbeskrivning Vi söker en erfaren och analytisk Data Engineer som vill arbeta med att förstå och optimera vår kunds datatransaktioner. Som Data Engineer blir du en nyckelperson i vår kunds team och ansvarar för att analysera, strukturera och förbättra deras interna dataprocesser och kopplingar mellan system. Du kommer att arbeta med stora datamängder, bygga effektiva pipelines och säkerställa datakvalitet för att stödja verksamhetens behov. Vår kunds vision är att ta en ledande position på elmarknaden och bygga stabila, datadrivna lösningar som bidrar till ett hållbart energisystem. Nu behöver de din hjälp för att komma dit. Dina ansvarsområden Analysera och förstå datatransaktioner mellan våra system. Utveckla och optimera datamodeller, pipelines och integrationer. Arbeta med databaser som MSSQL, Oracle, Snowflake och verktyg som DBT. Säkerställa datakvalitet, prestanda och tillgänglighet. Samarbeta med utvecklare, analytiker och verksamheten för att skapa effektiva datalösningar. Nödvändiga färdigheter Dokumenterad erfarenhet av SQL och arbete med relationsdatabaser. Erfarenhet av databaser som MSSQL, Oracle, Snowflake. Kunskap om ETL-processer och dataintegration. Förståelse för datamodellering och optimering av databaser. Erfarenhet av att arbeta med DBT eller liknande verktyg för data transformation. Grundläggande förståelse för dataskydd och säkerhet. Meriterande färdigheter Erfarenhet av Python eller andra språk för datahantering. Kunskap om molnplattformar (Azure, AWS eller GCP). Erfarenhet av dataanalys och visualisering. Arbetat med IoT, MQTT och realtidsdata samt förstå konsekvenserna av bearbetning av realtidsdata för analys Vana att arbeta i agila team och med DevOps-principer. Ansökan När du söker via Techrytera AB söker du inte bara ett jobb – du påbörjar en dialog om din fortsatta karriär. Vi vill lära känna dig, din erfarenhet och dina ambitioner för att kunna matcha dig med rätt möjligheter hos våra kunder. Låter det intressant? Skicka in din ansökan eller hör av dig till oss så berättar vi mer. Vi ser fram emot att hitta nästa steg i din karriär tillsammans med dig.

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs. We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact. Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients. Job Description We are currently looking for a Senior or Expert Data Engineer to join a large-scale data transformation initiative at a global retail organization. This assignment is part of a strategic effort to build modern data platforms and enable a truly data-driven organization. In this role, you will contribute to building and maintaining data products within a Data Mesh architecture, working closely with cross-functional teams to deliver scalable and high-quality data solutions. Key Responsibilities: Design and develop robust SSAS cubes (tabular or multidimensional) to support advanced analytics and reporting. Build, optimize, and maintain SQL-based ETL pipelines and data models. Collaborate with analysts and business stakeholders to translate requirements into scalable data solutions. Ensure data quality, performance, and governance across data products. Migrate or integrate existing on-premise data solutions to Google Cloud Platform (GCP). Contribute to the development of data-intensive solutions within a modern data platform. Required Qualifications Proven experience with SSAS and OLAP cube development. Strong SQL skills (e.g., T-SQL, BigQuery SQL). Experience with data modeling and performance tuning. Hands-on experience with Google Cloud Platform, especially BigQuery, Dataflow, and Cloud Storage. Familiarity with CI/CD practices within data engineering environments. Experience with Power BI or other reporting tools. Exposure to dbt, Airflow, or similar orchestration tools. Strong problem-solving ability and collaborative mindset. Fluent in English (written and spoken) Nice to Have Understanding of retail business processes and data. Experience working with data visualization tools. Application When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients. Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

Brocc is a specialised financial institution embarking on a bold and transformative growth journey, fuelled by strong institutional backing and a clear strategic vision. Positioned at the forefront of the European credit market, Brocc combines deep heritage in consumer finance with cutting-edge technology and expertise in NPL acquisition and restructuring, building a best-in-class debt finance platform that supports clients across the full credit lifecycle. With substantial capital resources, an ambitious growth agenda, and a collaborative, entrepreneurial culture, Brocc is uniquely placed to shape the future of the credit ecosystem. As we scale across new markets and asset classes, building robust, secure, and high-performing technology is central to how we operate, and to how we earn the trust of our customers, partners, and regulators. Now, we are looking for a Data Engineer to join our growing team and take ownership of the data infrastructure that powers how customers across the Nordic region save, borrow, and manage their finances. WHAT YOU’LL DO You will play a key role in building and developing the data infrastructure that enables the entire organisation to work data-driven. You will report directly to the CTO and work as part of a close-knit data team. Acting as a bridge between data and the wider business, you are responsible for creating robust, scalable, and efficient data flows that ensure the right data is available for analysis, reporting, and decision-making, and you help shape a modern data platform that is the foundation for both operational and strategic initiatives. Our platform has been live for a couple of years and keeps growing as we add new data sources and model new data; our stack consists of Python, Snowflake, Meltano, Airflow, Fivetran, dbt, AWS, and Kubernetes, and the focus is on the complexity and correctness of the data rather than sheer volume or real-time processing. Your daily tasks will include:  * Design, implement, and maintain data pipelines and ETL processes in Snowflake. * Use dbt or Meltano to develop and document clear and efficient data transformations. * Ensure high data quality, traceability, and reliability through validation, monitoring, and documentation. * Build a scalable and robust data platform that supports both current and future needs. * Collaborate with Finance, Risk, Operations, and Product to turn data needs into technical solutions that move the business forward. * Identify and implement improvements that increase automation, efficiency, and performance across our data processes. WHO YOU ARE You are curious, committed, and self-driven, passionate about technology and data, and motivated to keep developing together with your team. You are “T-shaped” — genuinely interested in many things and driven by understanding why you do what you do, not only your own area. You combine solid data engineering craft with an analytics mindset, work in a structured and meticulous way, see how the details form a whole, and you are a communicative team player who is happy to share your knowledge to lift the whole team. More specifically, you bring: * An academic background in systems science, data/IT, or a similar field (a relevant vocational/YH education can qualify with the right experience). * Several years (5+) of experience in data technology, such as data engineering and BI development — not just dashboards. * Very good knowledge of Python and SQL and experience building and optimising data pipelines, with dimensional and relational data modelling. * Hands-on experience with at least one modern, cloud-based data platform: Snowflake, Microsoft Fabric, Synapse, Databricks, or BigQuery. * Experience with dbt or Meltano for transformations, plus orchestration and ingestion tools such as Airflow. * The ability to translate business needs into sustainable technical solutions and to explain complex data concepts clearly to non-technical colleagues. * Fluency in spoken and written English. * An understanding of compliance and regulatory reporting in financial services — or experience from fintech, banking, or another regulated industry — is a strong plus. WHY BROCC? This role combines hands-on data engineering with real influence over how Brocc’s data platform and ways of working take shape — with significant ownership, a broad mandate, and the chance to build for the long term. You will work with a modern technology stack in an innovative, technical environment, alongside committed and highly competent colleagues and a culture full of high energy. We are bold in how we challenge what financial services can be, and committed to empowering our customers to make smart financial choices — backed by a strong capital base and a clear vision.