Data Engineer

19844

13 Apr, 2026 to 30 Nov, 2026

Stockholm (40% remote)

Role:

Design and develop robust SSAS cubes (tabular or multidimensional) to support advanced analytics and reporting.

Optimize and maintain SQL-based ETL pipelines and data models.

Collaborate with analysts and business stakeholders to translate requirements into scalable data solutions.

Ensure high data quality, performance, and governance.

Migrate or integrate existing on-prem data solutions into GCP.

Essential requirements:

• 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, Cloud Storage).

• Familiarity with CI/CD in a data engineering context.

• Experience with Power BI or other reporting tools.

• Exposure to dbt, Airflow, or other orchestration tools.

• Experience in working with data visualization tools

• Fluent in English both written and verbal

• Advantage if you also have Business understanding of retail industry

• Required cloud certification: GCP

Please explain how you meet all the requirements when applying.

Utilization: 100%

Location: Stockholm

Period: 13-04-2026-30-11-2026

Last day to apply: 18-03-2026

We present regularly. This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement, we recommend that you submit your application as soon as possible.