Senior Data & Analytics Engineer
Tasks
- Build ETL/ELT workflows
- Build customer facing dashboards
- Create data contracts and governance
- Design Lakehouse architecture
- Develop Power BI semantic models
- Enable governed self service analytics
- Identify anomalies and insights
- Implement CI/CD for data pipelines
- Implement data quality monitoring
- Lead BI vendor transition
- Optimize DAX performance
- Own data platform
- Reverse engineer pipelines and reports
- Set up testing validation alerting
Perks/Benefits
- Continuous learning
- Fully remote working Europe
- High autonomy
- In-person team events
- International collaboration
Skills/Tech-stack
Aggregations | Apache Spark | Azure | CI/CD | DAX | Data Contracts | Data Quality | Data models | Databricks | Delta Lake | Dimensional Modeling | ELT | ETL | Embedded Analytics | Git | Great Expectations | Kimball Method | Lakehouse Architecture | Microsoft Fabric | Multi tenant data models | Multi-tenant | Observability | Performance optimization | Power BI | PySpark | SQL | Semantic models | Version control
Education
N/A
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