Search results for "Data Warehouse Development"

Vi söker dig som vill vara med och bygga ut det datawarehouse som resten av Senseworks förlitar sig på och som är grunden för vår moderna, webbaserade analytics-produkt. Vi har stort intresse för vår snabbväxande SaaS-tjänst och som datawarehouse-utvecklare i vårt data- och integrationsteam får du forma de modeller och strukturer som gör det möjligt för både produktteam och kunder att dra intelligenta insikter ur stora mängder data. Om rollen Vårt data- och integrationsteam ansvarar för vår data hela vägen från inläsning tills det presenteras för användaren och arbetar med pipelines, datamodellering, datainfrastruktur och integrationer mot externa system. I rollen som datawarehouse-utvecklare blir du en av teamets experter inom datamodellering och en av dem som andra team vänder sig till när de behöver nya eller förändrade datamodeller att bygga vidare på. Vi jobbar med en modern teknikstack, baserat på open-source och cloud-native, i Kubernetes. Vi är ett 30-tal personer på Senseworks och jobbar tvärfunktionellt över hela stacken. Dina dagar kan beroende på ditt intresse innehålla allt från att designa nya faktatabeller och dimensioner, bygga och underhålla transformationspipelines till att samarbeta med andra team om vilka data de behöver och hur de bäst modelleras. Exempel på vad du kan komma att arbeta med: Modellering av nya och befintliga datadomäner i vårt datawarehouse. Design av faktatabeller, dimensioner och andra modelleringsmönster för analys. Bygga och underhålla robusta transformationspipelines. Säkerställa datakvalitet, dokumentation och spårbarhet i modellerna. Samarbeta med andra team för att förstå deras behov och tillgängliggöra data de kan konsumera. Vidareutveckla vår datamodell i takt med att produkten och datamängderna växer. Om dig Vi tror att du är en nyfiken, driven, ansvarstagande och positiv person med några års erfarenhet av datamodellering och att bygga datawarehouse-lösningar. Helst är du baserad i Umeå med omnejd så vi kan ses ofta. Vi ser gärna att du har erfarenhet av: Datamodellering, dimensionsmodellering och SQL på en avancerad nivå. OLAP-databaser, gärna ClickHouse, och hantering av stora datamängder. Att bygga och underhålla data pipelines och transformationer. Att arbeta nära andra team för att förstå och tillgängliggöra deras databehov. Kubernetes och molnbaserade system. Meriterande är också erfarenhet av: Verktyg för datatransformation (t.ex. dbt) och orkestrering. Backend- och API-utveckling. Arbete i finansiellt relaterade branscher – redovisning, revision, bank etc. Vad vi erbjuder Vi erbjuder en chans att vara en del av ett snabbt växande fintech-företag med stora ambitioner och en produkt som gör verklig skillnad för våra kunder. Vi erbjuder en inspirerande, snabb och samarbetsinriktad miljö där du får möjlighet att ta stort eget ansvar och påverka både din egen roll och dina arbetsdagar. Du kommer att få jobba med moderna tekniker i ett datadrivet utvecklingsteam. Att ha en utmärkt kultur och en rolig och engagerande arbetsmiljö är mycket viktigt för oss. Vi värdesätter nyfikenhet, öppenhet och en positiv attityd. Vi strävar efter att skapa en bra miljö för lärande och personlig utveckling och har en personlig utbildningsbudget för varje anställd så att vi alltid får fortsätta lära oss saker. Vi tror att vi har roligare och utvecklar bättre produkter genom att arbeta mycket nära våra kunder, hela vägen från idé till backlog-prioritering, med ett datadrivet sätt för att ta beslut om vad vi ska bygga härnäst. Vi anser att det är viktigt att erbjuda lika möjligheter för kvinnor och män eftersom vi tror att mångfaldiga arbetsstyrkor presterar bättre och är mycket roligare att arbeta i. Vi strävar efter att bygga ett långsiktigt team av talangfulla individer och som en del av det får alla anställda möjlighet att delta i vårt aktieoptionsprogram och bli ägare i företaget. Vi har ett team med kollegor som arbetar från hela världen, men vi trivs också med att träffa varandra ansikte mot ansikte. Vårt kontor i Umeå ligger i Science Parken med 30 sekunders promenad till en av norra Europas största sportanläggningar på IKSU. Vi erbjuder ett generöst friskvårdsbidrag och en friskvårdstimme så att du kan träna på arbetstid. Vi har en mycket flexibel arbetsplats där du arbetar när och var det passar dig bäst för att få ihop livspusslet. Kontaktinformation Om att arbeta i ett snabbväxande fintech-SaaS-företag som bygger produkter för den internationella marknaden låter spännande, kontakta oss! Skicka din ansökan till jobs@senseworks.io.

Assignment description Our client is seeking a Lead Data Engineer Strong consultant that can take the role as first Lead Data Engineer within BI/DWH modernization project. Must be able to pre-form early in the project and contribute both in discovery/analysis and in the first implementation. Important that consultant is not only a developer but have strong competence to understand complex data warehouse, analyze dependencies and contribute and form the modernization of the legacy flow. Most important is the combination of SQL Server/SSIS-legacy, datamodellering and practical modernisation towards Fabric/Databricks/Snowflake/Azure.  Required Experience Senior Data Engineer  Very strong SQL-competens, especially SQL Server and T-SQL Documented experience of SSIS och traditional Microsoft DWH-/BI-environments Experience of analysing ETL-flows, stored procedures, views, tables and dependencies Experience of modernization or migration from legacy DWH cloud-based data platform Experience of at least one of: Microsoft Fabric, Azure Synapse, Databricks or Snowflake  Good understanding of Kimball, Data Vault, star schema and data marts Experience of CI/CD, Git and structured development flows Used to document technical solutions, data flows, mappings and designer decisions Ability to work close to Architect, BI Developer, Business experts and other Data Engineers. Contribute both in analyse/discovery and hands-on implementation Lead more junior Data Engineers  Meritorious - Experience of: Dbt, SSAS/SSRS/Power BI, Purview, Unity Catalog, DataHub, experience from retail, supply chain, finance, HR or similar domains

Join Coor in Stockholm and grow into a Tech Lead role, helping structure and develop our Databricks and Azure data platform Have you worked a few years with Databricks and feel ready to take the technical lead? Coor is building a modern Azure and Databricks platform, and we are now looking for a Data Engineer who wants to step inte technical ownership. A new Databricks environment is in place, and several large source systems, including finance and transaction platforms, are moving to SaaS, changing how data is structured, integrated, and delivered. Coor is now strengthening how we design, build, and structure our data platform. This is the right role for you who enjoy hands-on engineering and want to take ownership of how things are built. THE OPPORTUNITY - This is an opportunity to grow into technical leadership in a supportive and engaged team. We offer you: - To step into a role where your technical voice will be heard and valued - The opportunity to grow alongside a platform that is still taking shape - A team with strong collaboration, open discussions, and high engagement - To influence how we structure and mature our Databricks environment from an early stage YOUR CHALLENGE In this role, you combine hands-on data engineering with growing technical leadership. You will spend a significant part of your time building solutions in Databricks, while also shaping how the team approaches design, structure, and quality. More concretely, you will: - Design and build scalable data solutions in Azure and Databricks - Develop and refine ETL/ELT pipelines, including near real-time data flows - Contribute to architectural decisions together with architects and stakeholders - Bring clarity to coding standards, branching strategies, and documentation - Review code and promote consistency, quality, and maintainability - Support sprint planning by helping break down and refine technical solutions before development starts Beyond the day-to-day development work, you will also help structure how we apply Delta Lake, Unity Catalog, and Lakehouse principles in practice, ensuring that what we build is sustainable over time. THE TEAM AND WORKPLACE You will join Coor’s Data & Analytics team, which consists of two main focus areas: business deliveries in Qlik and platform development within Azure and Databricks. You will work closely with our Analytics Architect as well as the engineers in the team. Many of us have worked together for a long time and there is a high level of trust across roles - discussions are open, ideas are welcomed, and technical topics are explored together before decisions are made. We are based in our brand-new offices in Solna, where we meet three days a week in a hybrid setup based on the team’s needs. ABOUT YOU You have worked hands on with Databricks for a few years and feel confident building solutions in the Azure data ecosystem. You are strong in SQL and comfortable using Python when needed. You have experience building data pipelines and working with data models, and you understand how data lakes and analytical data products are structured. You may already have taken informal technical responsibility in your team (reviewing code, guiding discussions, or suggesting better ways of working) and now feel ready to formalize that role. You bring structure where needed and enjoy making technical decisions clear and understandable, both verbally and in documentation. You are comfortable working in Swedish and English. Most importantly, you are motivated to grow into a technical lead role while helping the team build sustainable and scalable solutions. About the position - Type of employment: Permanent - Scope of work: Full time - Working hours: Hybrid - Start date: TBD - Probationary period: 6 months To ensure a fair and accurate recruitment process, we use personality assessments and conduct background checks on all employees upon employment. Additional information If you have any questions, please contact: Mikaela Ströberg, mikaela.stroberg@adadigital.se We review applications on an ongoing basis, so don’t wait – apply today! To comply with GDPR, we only accept applications submitted through our advertisement. We kindly ask recruitment agencies and sales representatives to refrain from contacting us regarding this position. We look forward to receiving your application! Coor is a leading provider of workplace services in the Nordics. We are present at thousands of workplaces across the region, making us experts in smart, safe, and sustainable working life. We take care of our customers’ properties, cook food, clean, welcome guests, deliver mail, and design offices. In total, we offer more than 100 services as part of our mission – to create the happiest, healthiest and most prosperous workplace environments in the Nordic region. Together, we create value by performing, leading, and streamlining our customers’ service operations, so they can focus on what they do best. We take care of the rest.

Cambio is one of the Nordics' leading suppliers in e-health with a comprehensive offering for the entire health and care chain. Our e-health solutions supports health care professionals in their daily work and offer patients safer and more easily accessible care. We are proud to be an important part of Swedish healthcare. We are growing continuously and now have about 1000 employees in several countries. The position We are looking for the next Software Engineer within Database development to join our Data & Analytics department to continue the developing of solutions that turn healthcare data into actionable insights and ensure it is securely stored and accessible over time. The focus spans advanced analytics and reporting, efficient decision support, and compliant long-term archiving to meet regulatory and future needs. You’ll work with both existing and future-oriented database solutions, helping ensure high performance, reliability, and efficient data management as our systems evolve. About you We believe you have a genuine interest in database development and enjoy working hands-on with complex data structures. You bring solid technical skills and a curiosity that drives you to explore, understand, and improve database solutions. Tackling challenging problems in complex database environments is something you truly enjoy. You value collaboration and take pride in working closely with your team—as well as with other stakeholders—to solve problems and continuously improve existing solutions. You bring a quality-focused mindset and combine strong communication skills with a structured and proactive way of working. You’re comfortable managing multiple tasks and priorities, taking initiative to identify improvements, and build trusting relationships across teams to move work forward effectively. At Cambio, we value initiative and personal growth. Our culture is built on Trust, Care, and Together—values we believe are important to both our work and our people. It’s important to us that you recognize and identify with these values. Requirements  · 3+ years of working with T-SQL and SQL Server. · Strong understanding of database design principles, including normalization, star schemas and indexing. · Strong experience in developing, optimizing, and maintaining high-performance stored procedures and functions · Experience with query optimization, execution plans, and performance tuning. · Knowledge of database best practices. · Can communicate fluently in English It's a bonus if you have · Experience of SSIS. · Experience in Business Intelligence or Data Warehouse. · Experience within the area of Swedish health and social care. · Experience working agile. Place of employment: Linköping or Stockholm Scope: Full-time, hybrid work model (three days per week in-office) Form of employment: Permanent employment, 6 months trial period Additional Information: The role involves access to sensitive information, therefore a background check will be conducted on the final candidate. We review applications and conduct interviews on a rolling basis, so we encourage you to apply as soon as possible via the link. We look forward to receiving your application! CAMBIO- FOR A HEALTHIER TOMORROW Welcome to a company where healthcare is improved every day. Here you will work with leading technology in a collaborative, trusting and empowering environment where your contribution will be appreciated and celebrated. In our caring culture you will have the opportunity to pursue different paths of professional growth. Seize the opportunity to do the most important work of your life. Read more about us here! A healthier tomorrow also means taking care of those who make it possible -explore our employee benefits Learn more about our recruitment process here Are you interested in Cambio but you don’t feel that this position is the perfect match? Check out our other open positions at our career site.

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job In Prague, we are actively seeking a Senior Data Migration Achitect to strengthen our team dedicated to designing and implementing a migration framework for SQL and data structures from Teradata to Google BigQuery. This role is critical for the New Data Platform project, which involves modernizing the organization’s data warehouse ecosystem with cutting-edge technologies, including AI/LLM agents. This is you * Proven practical experience with the design and implementation of migration frameworks or complex data tools. * Agentic / orchestrated approach to the solution, including AI/LLM agents, managed workflow, and iterative processing. * Ability to design the architecture and implement it hands-on * Strong knowledge of SQL (different dialects) – ability to analyze and translate complex SQL transformations. * Scripting experience in Python and/or Bash at production implementation level. * Experience with Git workflows, including branching, PR workflow, and auditability of changes. * Active knowledge of Czech or Slovak for everyday communication. This is your role * Design the overall concept of a migration tool for translating SQL transformations and data structures from Teradata to BigQuery. * Design an agent-based approach combining: * Deterministic migration tools (vendor-provided) for translation. * AI/LLM layer for iterative SQL tuning and edge-case resolution. * Automated data validation with feedback loop (error → AI → re-run → validation). * Collaborate on the selection of appropriate tools and technologies, including experimental evaluation. * Define framework operating modes: batch and on-demand, including variants usable by business users * Implement the framework with workflow orchestration. * Integrate key components: SQL translation tools, data validation tools, and Git-based workflow for change detection, branching, and auditability. * Design and implement batch and on-demand launch modes. * Optimize the deterministic translation component before applying AI to increase translation accuracy. * Collaborate with BI and NDP architectural teams to align the framework with the target platform architecture. * Document all decisions, configurations, and create an operational manual for handover. What awaits you at Avenga? * Pleasant working environment and stable background in one of the largest software development companies * Space to work independently and creatively with the possibility to implement your own ideas and opportunities to learn new things and approaches * You have the opportunity to influence your direction in the company * High quality hardware and software, access to the latest technologies and specific projects * Opportunities to improve your language skills, we are a major global player * At Avenga, you'll get quality support in your development thanks to a wide range of internal and external training courses, so you can push the boundaries of your competences * We offer you benefits such as life insurance and pension contribution, EN/DE/ES lessons, MultiSport card, sick days, meal allowance, lots of company events, offices in Prague Palmovka with quality amenities for lovers of sport, food and coffee, hybrid remote work after mutual agreement, and more At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

The Opportunity As the Data Platform Architect within our BST GI Analytics & Data Platform organization, you will be the chief architect behind the future of Hitachi Energy’s Grid Integration (GI) data landscape. ​In this strategic role, you will design, scale, and govern the unified data platform that fuels our advanced analytics, business intelligence, and digital transformation initiatives. You will work hand-in-hand with the Team Manager for Analytics & BI to translate complex business demands into robust, modern data infrastructure. This role requires a balance of high-level technical vision and rigorous discipline, ensuring our platform is scalable, high-performing, and tightly aligned with internal corporate frameworks and global data regulations. ​How You’ll Make an Impact Design the Data Architecture: Define the blueprint for our data platform, establishing scalable, resilient, and reusable data flow architectures that span from backend data warehouse storage to frontend analytical layers. ​Bridge Strategy & Technology: Partner closely with the Team Manager and business stakeholders to understand emerging data needs and design the infrastructure required to support them. ​Enforce Data Governance & Quality: Architect robust frameworks for Master Data management, data validation, and interface integrity, ensuring our data assets are clean, reliable, and accessible. ​Drive Process & Regulatory Compliance: Ensure the data platform’s architecture fully complies with internal PPS (Project Power System) project guidelines, ITIL frameworks, and global data security and privacy regulations. ​Lead Technical Innovation: Keep a pulse on the evolving analytics landscape, introducing modern architectural best practices that optimize platform performance while managing technical debt. ​Your Background Data Architecture Expertise: Proven track record as a Data Architect, Cloud Architect, or Principal Data Engineer, with deep experience designing enterprise-scale data platforms and data warehouse environments, familiarity with Azure cloud services, Microsoft Fabric, and Databricks ​Pipeline & Interface Mastery: Strong expertise in data modeling, reusable data flow pipelines, ETL/ELT integration patterns, and managing complex interfaces across disparate data silos. ​Governance & Master Data Focus: Solid experience implementing Master Data management principles, data quality frameworks, and robust data security protocols in a regulated environment. ​Process & Framework Discipline: Practical understanding of structured project environments like PPS (or equivalent gate-model frameworks) and ITIL service operations. ​Collaborative Communicator: Ability to articulate complex architectural concepts clearly to both technical engineering teams and business leadership, ensuring strategic alignment across the board. 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 Jimmy Cavanagh 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 43. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com

The Opportunity As a Data Engineer within our BST GI Analytics & Data Platform organization, you will be the core builder of the data pipelines that power Hitachi Energy’s Grid Integration (GI) business. ​In this role, you will turn architectural blueprints into reality. You will develop, optimize, and maintain the robust backend data flows and interfaces that move raw data into our data warehouse environments, making it ready for advanced analytics and BI applications. Working within a structured, collaborative team, you will ensure our data infrastructure is highly reliable, scalable, and fully compliant with internal process guidelines and global data regulations. ​How You’ll Make an Impact Build & Optimize Data Pipelines: Develop and maintain reliable, scalable ETL/ELT pipelines and data flows that integrate disparate data sources into a unified data warehouse environment. ​Implement Architectural Blueprints: Collaborate closely with our Data Platform and Analytics Architects to build backend data structures, data marts, and schemas that meet high-performance standards. ​Ensure Data Quality & Integrity: Write clean, optimized code and data validation routines to enforce Master Data alignment, data validity, and seamless interface management. ​Maintain Service Excellence: Proactively monitor pipeline health, troubleshoot data processing issues, and resolve service requests utilizing our internal ITIL-based ticketing systems. ​Follow Process & Regulatory Standards: Ensure all code deployments, data processing routines, and environments strictly follow internal PPS (Project Power System) guidelines and global data privacy and security standards. ​Your Background Data Engineering Experience: Proven track record as a Data Engineer or Backend Data Developer within an enterprise-scale data warehouse or cloud data platform environment. ​Pipeline & Coding Mastery: Proficiency in data integration tools, SQL, and programming languages relevant to modern data orchestration (such as Python / Scala for Spark ). ​Data Modeling & Architecture Familiarity: Solid understanding of data warehouse methodologies, dimensional modeling, and managing complex data interfaces. ​Process & Support Discipline: Experience working within structured project environments using PPS guidelines (or equivalent gate models) and ITIL/ITSM processes for operational support. ​Collaborative Problem Solver: Excellent technical execution skills paired with a collaborative mindset, allowing you to work smoothly across a dual-discipline team of architects, developers, and BI analysts. 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! We are recruiting for multiple (3) positions. Recruiting Manager Jimmy Cavanagh 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 43. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com

ComeOn Group in short Founded in 2008, ComeOn Group is a leading global player in the rapidly growing iGaming market. Having launched its first online brand in 2010, ComeOn Group is running a wide range of exciting brands across multiple markets. Operating more than 20 brands on its proprietary platform providing a secure, innovative and entertainment-led player experience across casino and sports betting. ComeOn Group is an international employer within the iGaming industry and has over 500 talented employees across 7 main locations. Location: Stockholm, Sweden ComeOn Group is a data-driven company, and our Database Platform Engineering & Operations team plays a key role in enabling reliable and scalable data across the business. We are looking for a hands-on Database Platform Engineer with strong database development skills and a passion for working with data systems in production. You will work closely with operations, engineering and data teams across the company, supporting MySQL and MongoDB environments while contributing to schema design, query optimization, and performance improvements. This role is ideal for someone who enjoys both development and operational work. You will be involved in supporting live systems, handling data migrations and integrations, modernizing legacy systems and helping improve how data flows across the organization. A strong willingness to learn, take ownership, and grow in the areas of databases and data engineering is essential. The position offers the opportunity to develop into broader database and data platform responsibilities over time, contributing to the reliability, performance and evolution of our data systems. Responsibilities: Write, optimize and troubleshoot complex SQL queries and database operations. Contribute to database design, schema evolution and modernization of legacy database structures while working closely with developers to improve data models, application queries and overall database performance. Support large-scale data migrations, B2B integrations and live production changes with accuracy and attention to detail. Help maintain and improve real-time data pipelines and integrations between operational databases and analytics platforms. Collaborate openly across development, DevOps and Data teams while contributing to documentation, knowledge sharing and continuous improvement initiatives. Support and maintain MySQL, MongoDB and related systems across development and production environments. Participate in performance tuning, troubleshooting, monitoring and operational improvements. Automate recurring operational and development-related tasks. Support deployments, releases, access management, change processes and incident handling. Continuously learn and contribute to modern database engineering and data platform practices. About you: Essentials: 2–5 years of experience working with MySQL and/or MongoDB. Exposure to cloud platforms (BigQuery, AWS, GCP). Strong database development skills with confidence writing, optimizing and troubleshooting complex SQL queries. Good understanding of database design principles, schema evolution and performance optimization. Strong interest in databases, data engineering and modern data platforms. Strong communication and collaboration skills with the ability to work closely across development, BI/Data Warehouse and DevOps teams. Strong aptitude to learn, grow and take ownership in a hands-on engineering environment. Comfortable working with live production systems and operational environments. Experience with scripting or automation using Python, Bash or similar tools. Proactive, communicative and solution-oriented mindset. Proficient in English, both spoken and written. Benefits So what can you expect from ComeOn as a place of work? A competitive remuneration package! :moneybag: Fantastic quarterly team events and weekly company events :sunglasses: A one-time bonus to help you set up a comfortable workstation at home (we’re truly Hybrid!) On top of our Hybrid work arrangement, up to 40 days a year to work fully remote from anywhere 🌎 30 paid vacation days a year Generous pension and insurance benefits Brand new laptop and smartphone with fully paid plan Generous health subsidy benefit Company events, including breakfast mornings and Friday beers At ComeOn, we have adapted a Hybrid Work model which means that we offer our employees an option to pick their workstation for the day. Want to work from the office a few days a week and some days from home? That’s totally fine with us! ComeOn is known for their inviting and vibrant offices that offer creative areas for collaboration and desk set-ups designed for a Hybrid Work model. When you visit one of our offices you will always be welcomed by a friendly face that will take good care of you. It’s our curiosity that drives our innovative business forward and we work hard in a run together spirit and we always make sure to top it up by having fun! You will not regret picking ComeOn as your next place of work. At ComeOn Group we value diversity and we take concrete action to ensure fairness in our recruitment process. We are committed to assess candidates on their merit without discriminating against any applicant for whatever reason that is protected by law. We truly value you, as you are. Want to know more about us just visit our website www.comeon-group.com or any of our social media channels to take a deep dive into our culture! LinkedIn Instagram Facebook

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT US Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk. Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning. At Honor, we’re not building technology for technology’s sake. We’re building technology that helps people deliver better care. THE OPPORTUNITY We’re looking for a Staff Data Engineer to help shape the future of Honor’s data platform. This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization. This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business. WHAT YOU'LL DO BUILD AND EVOLVE OUR AWS-NATIVE DATA PLATFORM * Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS. * Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads. * Define and implement Infrastructure-as-Code standards using AWS CDK. OWN DATA ORCHESTRATION AND DATA ENGINEERING FOUNDATIONS * Design and operate scalable orchestration frameworks using Airflow and FiveTran. * Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt. * Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation. ENABLE TRUSTED DATA ACCESS THROUGH GOVERNANCE AND AI READINESS * Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use. * Help define how both employees and AI-powered systems safely access and leverage company data. * Build the foundations that enable self-service analytics and future agentic workflows across the organization. DRIVE RELIABILITY, OBSERVABILITY, AND OPERATIONAL EXCELLENCE * Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices. * Build scalable data quality frameworks that ensure confidence in business-critical data. * Continuously improve platform reliability, performance, and cloud cost efficiency. LEAD THROUGH TECHNICAL INFLUENCE AND PARTNERSHIP * Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data. * Provide technical leadership, architectural guidance, and mentorship across the data organization. * Influence long-term platform strategy and engineering best practices across multiple teams. WHAT WE'RE LOOKING FOR * 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS. * Proven track record leading complex technical initiatives and influencing architecture across teams. * Strong software engineering fundamentals and experience building production-grade systems. * Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design. * Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization. * Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems. * Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact. * Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority. * Passion for building platforms that empower others and scale organizational impact. PREFERRED QUALIFICATIONS * Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK. * Experience designing data governance, metadata, lineage, or self-service data platforms. * Experience supporting AI, machine learning, or agentic workflow initiatives. * Experience leading platform modernization efforts in high-growth environments. * Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager. WHAT'S NEXT? Sound like a fit? Apply below! #LI-AN1 Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,000—$220,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job For our client in the banking sector, we are looking for a Senior Data Engineer to help build and evolve a modern cloud-based data platform powered by Databricks and Microsoft Azure. The client is undergoing a major transformation from a traditional on-premise SQL-based data warehouse to a scalable, cloud-native data ecosystem where Databricks serves as the core platform for data processing, analytics, and future AI initiatives. This role is ideal for engineers who have extensive hands-on experience working with Databricks in production environments and enjoy building robust, scalable data platforms from the ground up. This is a hybrid assignment based in Stockholm, with an expected onsite presence at the client’s premises 3–4 days per week and 1–2 days remote. This is you * 5+ years of experience in Data Engineering * 3-5+ years of hands-on Databricks experience in production environments * Strong experience building and operating data pipelines in production environments * Advanced knowledge of Python and SQL * Experience with distributed data processing and large-scale datasets * Solid understanding of data engineering principles, including orchestration, performance optimization, and data quality * Experience with dbt and modern data modeling practices * Ability to independently drive technical initiatives and contribute to architectural decisions * Professional proficiency in English Nice-to-have skills: * Experience with real-time data processing * Experience migrating legacy data warehouse environments to cloud platforms * Understanding of CI/CD, testing, monitoring, and platform governance within data ecosystems * Understanding of Swedish This is your role * Design, develop, and maintain data pipelines on the Databricks platform * Build and optimize scalable data integration and transformation solutions * Work directly with Databricks notebooks, jobs, clusters, and workflows in production * Develop reliable and performant solutions for processing large volumes of data * Implement modern data modeling approaches using dbt * Ensure high standards for data quality, traceability, scalability, and performance * Contribute to the architecture and evolution of the organization's Azure-based data platform * Establish and improve engineering best practices related to Databricks, CI/CD, testing, monitoring, and platform operations * Collaborate closely with analysts, BI teams, and other stakeholders to deliver business-critical data solutions * Support the migration from legacy data warehouse solutions to a modern Databricks-centric architecture   What awaits you at Avenga? At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Engineer, you will design and build scalable data pipelines and data infrastructure that power Smart SMS features, including SMS categorization, fraud detection, spam intelligence, and AI-driven capabilities. You will work closely with Data Scientists, Data Analysts, and Product teams to develop robust data platforms, enable feature engineering for ML models, and deliver reliable datasets that drive product insights and decision-making for over a million daily users. What you'll do: * Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within defined SLAs * Provide support for all teams in building and optimizing their complex pipelines * Work closely with other teams to identify pain points and problems around the platform * Develop new tools and frameworks to improve the data platform * Facilitate a company-wide, data-driven culture * Work in close collaboration with data scientists and data analysts to help support their work going into production * Work on large-scale projects such as building an ML platform and streaming use cases * Set up best practices and processes around software and data development What you bring in: * Experience working with an orchestration tool (e.g., Airflow) * Experience working with large data sets * Experience building complex ETL pipelines * Experience working with cloud providers such as GCP * Strong programming skills in Spark with Scala and Python * Experience working with CI/CD tools like Jenkins and Git * Strong understanding of software engineering practices and principles * Excellent problem-solving and communication skills * Self-motivated with a proven ability to take initiative to own and solve problems as they come up It would be great if you also have: * Experience working with messaging systems like Kafka * Knowledge of Kubernetes * Hands-on experience with any streaming platform * Experience managing a data warehouse in BigQuery or Redshift What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Data Engineer, you will play an important role in the Data infrastructure team, which is responsible for building and maintaining a scalable, robust, self-service analytics platform. What you'll do: * Maintaining and improving the ingestion pipeline to reliably deliver billions of events daily in a defined SLA * Provide support for all teams in building and optimizing their complex pipelines * Work closely with other teams to identify pain points and problems around the platform * Develop new tools and frameworks to improve the data platform * Work in close collaboration with data scientists and data analysts to help support their work in production * Work with vast projects such as building an ML platform and streaming use cases * Set up best practices and processes around software and data development What you bring in: * 3+ years of experience in data engineering  * Experience working with an orchestration tool (ex, Airflow) * Experience working with a large data set * Experience building complex ETL pipelines * Experience working with cloud providers such as GCP, AWS, or Azure * Strong programming skills in Spark with Scala and Python * Experience working with CI/CD tools like Jenkins and Git * Strong understanding of Software Engineering practices and principles * Excellent problem-solving and communication skills * Self-motivated and have a proven ability to take the initiative to own the problems that come up and solve them It would be great if you also have: * Working with messaging systems like Kafka * Knowledge of Kubernetes * Hands-on experience with any streaming platform * Experience managing a data warehouse in BigQuery or Redshift What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, and TV channels. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.   We’re looking for the best people to join us on our journey. Right now, we’re searching for a Data Engineer in our Stockholm office – are you ready to hit play on an exciting career change?  The role  The Ad Platform Solutions team sits within Viaplay Digital Ad Product, bridging commercial priorities and technical delivery in Viaplay. You will be joining a small, growing team where your work connects directly to how the sales organisation operates every day. As our new Data Engineer, you will play a central role in developing and improving the data infrastructure that powers ad sales across all Viaplay markets. We’ve built a solid foundation that supports our operations today, and we’re now looking for someone to take ownership of it - improving and strengthening what’s already in place, while also influencing architecture and shaping how the platform evolves. This is a hands-on engineering role. In a small team, you will work across the full data lifecycle - from pipeline development and orchestration to data modelling, ensuring the right data reaches the right people. Your day-to-day will include: • Building and maintaining data pipelines that power ad sales reporting and operations across Sweden, Norway, and Denmark • Structuring and modelling data so it is clean, consistent, and genuinely useful to the business • Identifying and resolving issues in existing pipelines, reducing manual work and improving reliability • Translating needs from stakeholders into solid technical solutions • Contributing to architectural decisions as the platform evolves We actively use AI-assisted tools as part of our development workflow to improve efficiency and speed up delivery. We expect engineers to use these tools effectively, while critically evaluating outputs and maintaining full ownership of the systems they build. What we’re looking for  We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least some experience in the following:  • Solid, production-level data engineering experience - you have done this before and know what good looks like • Strong skills in Python and/or C#, with confident SQL and hands-on database experience, relational databases such as SQL Server and PostgreSQL. • Experience working with cloud-based data platforms, particularly in Azure environments. • Experience building and maintaining data pipelines using orchestration tools (such as Airflow or Meltano), along with a solid understanding of data warehouse principles (e.g. dimensional modelling, data quality, and performance optimisation) • Experience using AI-assisted coding tools (e.g. GitHub Copilot, Claude) in a development workflow • Comfortable working autonomously in a small team, with a strong sense of ownership and the ability to drive work forward without much hand-holding It’s a bonus if you have:  • Experience with ad sales, digital advertising data, or media industry systems • A can-do attitude, sense of humor and the ability to work humbly with others. What we offer you We’ve got you covered! 30 days of paid vacation every year, an attractive pension and insurance scheme, and generous parental leave pay lift. Your wellbeing matters. We provide you with various wellbeing initiatives including wellness allowance. A safe space to grow and up-skill. Our learning culture puts you in the driver’s seat of your own development. Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product – including series & viewing events, new release movie rentals, linear channels and more. Hit play today  If this feels like your kind of challenge, make sure you apply by attaching your CV here – you may also want to add your LinkedIn profile. Please don’t send us your application via email because we won’t be able to accept it. We do, however, welcome any questions you may have about this particular position.  Want to learn more about who we are and what we do? Check out our careers page or follow us on Instagram! We’re only ever a few clicks away.

ABOUT LUXOR Luxor is the leading software and services provider for Bitcoin miners and the broader compute industry. Our full-stack platform supports gigawatts of compute infrastructure, giving operators the tools to monetize their compute, optimize and trade hardware, access financial instruments, and manage energy. We believe that compute power is becoming the world’s next major commodity and our products are built to support this shift. Our goal is to become the leaders in harnessing, refining, and trading compute, unlocking a new asset class for the world’s most important digital resource. As Luxor continues to scale rapidly across software, hardware, financial, energy and cloud infrastructure products, every team member has the opportunity to shape mission-critical systems, influence company-wide strategy, and contribute directly to the future of the compute economy. ROLE DESCRIPTION We are looking for a Data Engineer to join our collaborative, and fast-moving team to work on one of the most rewarding projects in the mining and compute industry. BASIC REQUIREMENTS * Experience building both streaming & batch data pipelines/ETL and familiarity with design principles. * Expert in Python, PostgreSQL, and PL/pgSQL development and administration of large databases with focus on performance and production support on native cloud deployments. * Experience with scalability solutions and multi-region replication and failover solutions. * Experience with data warehouse technologies (Trino, Clickhouse, Airflow, etc). * Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related technical discipline or equivalent experience. * Deep understanding of programming and experience with at least one programming language. * English language proficiency. PREFERRED REQUIREMENTS * Knowledge of Kubernetes and Docker * 4+ years of working experience in relevant data field. * Knowledge of blockchain technology / mining pool industry. * Experience with agile development methodology. * Experience delivering and owning web-scale data systems in production. * Experience working with Kafka, preferably redpanda & redpanda connect. THE IDEAL CANDIDATE * Passionate about cryptocurrency and public-blockchain technologies. * Has an interest in creating an entirely new market with Hashrate (compute power) as a commodity. * Has an interest in thinking and evolving the architecture of our software to make it robust and maintainable. * Enjoys writing code and pushing boundaries of what has been done so far. * Brings fun to the team but can also go own the rabbit hole to push quality code on schedule. RESPONSIBILITIES * Build scalable and reliable data pipelines that provide accurate data feeds from internal and external systems. * Govern scalable & performant cloud-deployed production relational and non-relational databases. * Collaborate on architecture definitions, always thinking of solutions that are scalable and secure. * Drive data systems to be as near real-time as possible. * Design, document, automate and execute test plans to ensure the quality of the datasets. * Participate in the process of generating and analyzing features. At Luxor we believe that meaningful contributions can be made by anyone. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Luxor welcomes all! Luxor does not accept unsolicited headhunter and agency resumes. Luxor will not pay any third-party agency or company that does not have a signed agreement with Luxor. HOW WE USE AI IN OUR HIRING PROCESS We use AI tools to support certain parts of our hiring process, and we believe in being transparent about how they’re used. During your application, AI may assist in reviewing CVs, qualifications, and assignments by providing additional insights, but it does not make decisions, every application is evaluated at each step by a member of our hiring team. We also use AI to transcribe interviews so our team can stay focused on the conversation rather than note-taking. Any voice recordings are automatically deleted within 15 days. In addition, AI helps us keep candidates informed about their application status and helps us understand how our process is working so we can improve it over time. In all cases, AI is used to support efficiency and consistency, not to replace human judgment. If you have any questions about how we use these tools or your data, or if you would prefer to opt out of any of these features, please include them in the dedicated section of the application form, and we’ll follow up accordingly.

Key Responsibilities 1. Technical Leadership Lead the design and development of BI architecture, data models, and data pipelines. Define best practices for data warehousing, ETL/ELT processes, and reporting. Review code and ensure high-quality, maintainable BI solutions. Select appropriate BI tools and technologies. 2. BI Solution Development Design and develop dashboards, reports, and analytics solutions. Optimize data models for performance and scalability. Implement data transformations, aggregation, and business logic. Common tools include: Microsoft Power BI Tableau Qlik Sense 3. Data Engineering & Architecture Design data warehouse or lakehouse architecture. Develop ETL pipelines using tools like: Azure Data Factory Apache Airflow Informatica Work with databases such as: Snowflake Amazon Redshift Google BigQuery 4. Team Leadership Lead and mentor BI developers and data engineers. Conduct design reviews and technical guidance. Ensure agile development practices. 5. Stakeholder Collaboration Work with business teams, product owners, and analysts. Translate business requirements into technical BI solutions. Deliver insights to support strategic decision-making. 6. Data Governance & Quality Ensure data consistency, security, and governance. Define data standards, naming conventions, and validation rules. Implement monitoring and data quality checks. Required Skills Technical Skills Strong SQL and database design Data modeling (Star Schema, Snowflake Schema) ETL/ELT pipeline design BI tools (Power BI / Tableau / Qlik) Cloud platforms: Amazon Web Services Microsoft Azure Google Cloud

Title: Business functional owner - Finance & Logistics Working hours: Full time Reports to: CTO Location: J.Lindeberg HQ, Stockholm Role Overview The business functional owner of finance and logistics is responsible for the support tools for financial processes, planning, and warehouse logistics across J.Lindeberg. This role owns the datawarehouse in Fabric, the end-to-end finance data workflow as well as warehouse and logistics data flow, creating cross-functional alignment between Finance and Operations and facilitating data-driven insights to support business growth. The goal is to support business control, supply chain execution, and operational excellence. Objectives * Ensure stable system landscape to support finance processes and planning routines with a proactive mindset. * Support operational excellence across warehouse operations, logistics, and supply chain with a high-functioning, relevant system landscape. * Reduce manual tasks and operational risks through automation and workflow improvements. * Support scalability and reliability in financial reporting and warehouse management. * Build strong cross-functional alignment so that business teams feel supported and empowered. * Enable a data-driven approach to both financial and operational performance while maintaining the Fabric DataWarehouse Key Responsibilities Finance DataProcess Ownership * Own the implementation, operation, and roadmap of support systems for finance and logistics. * Ensure accurate, timely, and automated flows between finance systems (ERP, EDI, OMS, reporting tools, etc.). * Monitor and optimize financial workflows, proactively resolving bottelnecks and errors. * Primary internal owner of the semantic models in Fabric, ensuring they are kept up to date, regressions are solved in a timely manner, and supporting with new developments. * Drive continuous improvement and streamline way of working together with the business. Warehouse & Logistics Operations * Manage warehouse data processes including inventory management, fulfillment, and inbound/outbound flows. * Ensure operational workflows are efficient, scalable, and compliant with business requirements. * Support continuous improvement initiatives and process optimization. Collaboration * Proactivly identify areas of improvements and partner closely with Finance, Operations, Supply Chain, Logistics, Warehouse teams to translate business needs into technical and operational solutions. * Work with external vendors, logistics providers, and integration partners to deliver stable and scalable solutions. * Act as the main escalation point for finance and logistics process issues. Technical Leadership & Governance * Maintain system documentation, data flows, and integration maps for finance and warehouse processes. * Oversee our Fabric enviroment and manage our Semantic Model to support a datadriver operation. * Ensure data quality, compliance, and security across all relevant systems. * Lead or support projects such as system upgrades, new business launches, or process improvements. * Co-own and track KPIs for financial accuracy, warehouse efficiency, logistics reliability, and overall process performance together with the business. Innovation & Continuous Improvement * Identify opportunities to automate manual tasks and reduce operational friction. * Evaluate new technologies that can enhance financial management, warehouse operations, or logistics efficiency. * Enable a data-driven approach to decision-making and operational improvements. Experience & Qualifications * 5+ years of experience in IT, business systems like Business Central, datawarehouse or financial operations, ideally within retail, fashion, or consumer brands * Strong understanding of finance processes (accounting, reporting, planning) and how they are supported by systems * Strong analytical and problem-solving abilities with a solution-oriented mindset. * Passionate about data quality, process optimization, and operational excellence and hands on experiences in semantic models. * Experience with supply chain, logistics, or warehouse systems (WMS) * Hands-on experience with system integrations (ERP, EDI, OMS, WMS, BI tools) * Proven ability to own systems, drive roadmaps, and deliver improvements * Experience working with external vendors, integration partners, and third-party providers * Strong analytical mindset with the ability to identify inefficiencies and optimize workflows * Comfortable working in a cross-functional, fast-paced environment Education * Bachelor’s or Master’s degree in Information Systems, Engineering, Finance, Supply Chain, or similar * Equivalent practical experience in IT systems and operations is highly valued Desired Characteristics * Analytical and progressive mindset: forward-thinking, curious, and eager to improve operational flows. * Energetic and proactive: thrives in a fast-paced environment, takes initiative, and drives momentum. * Inclusive communicator: can bridge gaps between finance and operations, ensuring clarity and alignment. * Structured, organized, and comfortable managing complexity across multiple systems and stakeholders. * Collaborative, solution-oriented, teamplayer and confident in leading cross-functional discussions. Success in This Role Looks Like * Finance and warehouse processes are stable, automated, and trusted across all channels. * Logistics operations are efficient, reliable, and scalable. * Business teams feel supported, empowered, and confident in the tools and workflows they use. * New channels, markets, or operational capabilities can be launched quickly and reliably. * J.Lindeberg’s operational and financial performance becomes a competitive advantage. J.Lindeberg Values * Progressive — We dare to challenge the status quo by questioning conventions and redefining what sport and fashion can be. Progressive means leading with curiosity, courage and constant innovation in both design and mindset. We embrace change, push boundaries and set new standards rather than follow old ones – always moving forward to create what’s next. * We are agile and entrepreneurial, moving fast and acting with intent. Our energy fuels creativity, performance and momentum – both in how we work and in the experiences we create for our community. * Inclusive — We’re a people-centric company, built on integrity and respect. Inclusive for us means celebrating diversity, acting responsibly and ensuring that everyone feels seen, valued and empowered within the J.LINDEBERG world. Salary band 50 000-60 000 SEK / Month We are looking forward to your application as soon as possible, but no later then 3/8 2026.