Principal Data Engineer
Manchester, United Kingdom
GBP 90K-109K (estimate) Senior-level Full Time
Tasks
- Build data lake data warehouse and BI reporting structures
- Coach and mentor data engineers
- Create physical data models for reuse and storage optimization
- Define data platform technical direction
- Design and build data observability and data quality
- Design data solutions and work packages
- Develop advanced BI solutions in Power BI
- Develop secure governed data pipelines
- Ensure data pipeline quality and integrity
- Establish coding standards and ingestion patterns
- Implement data cleansing mapping transformation and storage optimization
- Maintain documentation for data platform content
- Perform unit testing and peer testing
Perks/Benefits
Skills/Tech-stack
ADLS Gen2 | Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Synapse | Azure Synapse Analytics | Bicep | CI/CD | Data Governance | Data Lake Storage Gen2 | Data Lakehouse | Data Modeling | Data Observability | Data Pipelines | Data Quality | Databricks | Delta Lake | Dimensional Modeling | Entra ID | Firewall | Git | Infrastructure as Code | Kimball Dimensional | Kimball dimensional modeling | Medallion Architecture | Microsoft Azure | Microsoft Entra | Microsoft Entra ID | Power BI | Private Link | PySpark | Python | RBAC | SQL | Spark SQL | Synapse Analytics | Terraform | Unit Testing | Virtual Network | YAML pipelines | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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