Senior Data & Analytics Engineer

📋 Description

• Take end-to-end ownership of the data platform.
• Design, build, and operate robust ETL/ELT workflows.
• Maintain data quality, observability, and performance.
• Define data contracts and scalable data products.
• Own Power BI models, KPIs, and dataset refresh.
• Build customer dashboards and multi-tenant data models.

🎯 Requirements

• 5+ years in data or analytics engineering.
• Experience building scalable data platforms and customer analytics (SaaS).
• Databricks with Spark/PySpark and Delta Lake.
• Microsoft Fabric and/or Azure data ecosystem.
• Advanced Power BI, DAX, and SQL with dimensional modelling.
• Lakehouse architecture, CI/CD for data pipelines, Git.

🎁 Benefits

• Fully remote in Europe.
• Ownership of a modern data platform and BI ecosystem.
• Work across data engineering, analytics, and data products.
• Impactful work to reduce environmental and operational costs.
• International and diverse team with learning focus.
• Two annual team events for in-person collaboration.