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Data Engineer

Fuldtidsstilling

Stockholm, Sverige (Sweden)

SkillHuset Sweden AB

Offentliggjort den 31. juli 2026

  • Opslagstype

    Fuldtidsstilling

  • Sted

    Stockholm, Sverige (Sweden)

  • Startdato

    Så hurtigt som muligt

  • Løn

    Oplysninger ikke angivet

  • Hjemmearbejde

    Ikke specificeret

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

Ansøgningsfrist

Så længe stillingen er online

Uddannelsesniveau

Kandidatuddannelsesniveau eller tilsvarende

Funktion

Statistik, Dataanalyse & Anvendt matematik