About the role

  • Data Engineer involved in major data transformation journey, building data products within Data Mesh concept in Stockholm.

Responsibilities

  • 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

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
  • Strong problem-solving skills and a collaborative mindset
  • 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
  • Business understanding of retail industry (advantage)
  • Required cloud certification: GCP

Benefits

  • Hybridarbete
  • 100% utilization
  • 40% remote work allowed

Job title

Data Engineer, AIAD – Senior-Expert

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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