💻 Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.

With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.

By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.

🔹 For our Client from automotive industry, we are looking for 3 Senior Data Engineers - 3 days at the office🔹

Job Description:

Senior Data Engineer role focused on end-to-end data engineering in modern cloud architectures, bridging business needs with technical solutions. Join agile product teams to manage MDM data products, optimize data flows, and drive the transition from legacy systems (e.g., SSIS, MS SQL Server BI) to cloud-native platforms like Azure and Databricks. Emphasize data product lifecycle, from design and ingestion to provisioning high-quality master data for analytics and downstream consumption.

Responsibilities:

• Co-drive solution design with Business Analysts, defining target architectures, data models, flows, and integration patterns aligned with UDP principles (cloud-native, scalable, secure).
• Handle data ingestion, cleansing, standardization, transformation, and API provisioning from source systems (e.g., master data customer/product).
• Optimize existing ETL/ELT flows, build infrastructure for extraction/loading from diverse sources, and modernize legacy solutions.
• Assess feasibility, risks, dependencies; create implementation-ready designs, documentation, diagrams, and CI/CD automation.
• Collaborate with stakeholders, data stewards, architects, and teams to implement non-functional requirements (quality, security, stability) and support data-driven services.
• Evaluate/improve analytics solutions, integrate systems, and communicate technical topics to business audiences.

Requirements:

• Strong end-to-end experience in analytics platforms, data products, data warehouses (Star schema, Data Vault, multidimensional, tabular), and modern architectures.
• Expert in SQL/T-SQL, Python, Apache Spark, Databricks, Delta Lake, Azure Data Factory; batch/incremental/CDC/event-driven patterns.
• Data modeling (logical/physical), ETL/ELT design (high-performing SSIS packages, script components in C#), API development/maintenance.
• Cloud-native (Azure platforms), legacy modernization (SSIS to cloud), technology trade-offs for storage/processing.

Way of Working:

• Proactive self-starter with analytical/problem-solving skills, task management, and ambition to grow into Data/Analytics Architect.
• Agile methodology, JQL/Confluence experience; clear documentation and business communication in English.

Nice to Have:

• Master data management tools/practices, Power BI (semantic models, DAX, front-ends), SSRS, MDX.
• Team Foundation Server versioning, dispatching systems.

We offer:

• B2B agreement
• Transparent working conditions with both Ework and the client
• Current support during our cooperation
• Possibility to work in an international environment
• Collaborative environment in Swedish organizational culture
• Private medical care
• Life insurance
• Multisport
• Teambuilding events