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Data Engineer

Full time position

Stockholm, Sverige (Sweden)

SkillHuset Sweden AB

Published on 31 July 2026

  • Contract

    Full time position

  • Location

    Stockholm, Sverige (Sweden)

  • Start date

    As soon as possible

  • Salary

    Information not provided

  • Remote working

    Not specified

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

Application deadline

As long as the job is online

Study level

Master level or equivalent

Job Category

Statistics, Data Analytics & Applied Maths