Senior Data & Analytics Engineer

📋 Description

• Own data platform end-to-end: Databricks, Fabric, pipelines, lakehouse.
• Design and run robust ETL/ELT for batch and near real-time data.
• Ensure data quality, observability, and performance standards.
• Build data contracts and scalable, cost-aware data models.
• Operate BI assets: Power BI semantic models and dashboards.

🎯 Requirements

• 5+ years in data/analytics engineering, SaaS or product context.
• Databricks expertise (Spark/PySpark, Delta Lake).
• Microsoft Fabric and/or Azure data stack experience.
• Advanced Power BI, data modeling, DAX, optimization.
• SQL, dimensional modelling (Kimball); lakehouse & multi-tenant data
• CI/CD for data pipelines; Git version control; strong coding discipline.

🎁 Benefits

• Fully remote in Europe.
• Ownership of a modern data platform and BI ecosystem.
• Broad role across data engineering, analytics, and product ownership.
• Impactful work reducing environmental footprint in aviation.
• International, diverse team with learning and collaboration focus.
• Two annual in-person team events.