Senior Data Engineer (Fabric-Platforms)
Tasks
- Build end-to-end data solutions
- Collaborate with cross-functional teams
- Design and implement ETL and ELT pipelines
- Develop Power BI dashboards
- Develop and maintain data models
- Ensure data quality and integrity
- Implement data governance, security, and compliance
- Monitor and tune solution performance
- Optimize data query performance
- Translate business requirements into technical specifications
Perks/Benefits
- 25 days annual leave
- Bank holidays
- Charity involvement
- Employee assistance programme
- LinkedIn Learning access
- Management development programme
- Option to buy extra days
- Paid volunteering days
- Pension scheme
- Remote work
- Social events
- Training support
- Travel to client sites
Skills/Tech-stack
Apache Atlas | Apache Iceberg | Azure Data | Azure Data Factory | Azure Event | Azure Event Hubs | Azure Purview | Azure Synapse | CI/CD | Continuous Deployment | Continuous integration | Data Factory | Data Governance | Databricks | Delta Lake | Dimensional Modelling | ELT | ETL | Event Hubs | Kafka | Microsoft Fabric | Power BI | PySpark | Python | SQL | Spark | Spark SQL | Spark Streaming | Unity Catalog
Education
N/A
Roles
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