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

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

Data Engineer, AIAD – Senior-Expert

Key skills