Senior Data Engineer Databricks, Azure & People Analytics - 20184
Core
Design and develop a modern, scalable data platform supporting HR and People Analytics through data integration, modeling, and governance.
Role type
Senior Data Engineer (People Analytics)
Builds
Bronze, Silver, and Gold data layers; ETL/ELT pipelines; reusable, quality-assured datasets
Domain
HR and People Analytics
Deliverable
production ML models
Required skills
Databricks Lakehouse, Delta Lake, Lakeflow, Unity Catalog, Azure Data Factory, SQL, Python, PySpark, dimensional modeling, SCD, automated testing, data validation, data profiling, GDPR compliance
Preferred skills
Workday, Peakon, HCM systems, Power BI collaboration, CI/CD, release management
Technologies
Databricks, Azure Data Factory, SQL, Python, PySpark, Delta Lake, Lakeflow, Unity Catalog, Power BI
Responsibilities
Design and develop dimensional and semantic data models; Build and maintain Bronze, Silver, and Gold data layers; Develop and optimise ETL/ELT pipelines; Implement automated testing, data validation, profiling, and quality monitoring; Implement data governance, access controls, and GDPR-compliant data protection; Create reusable, version-controlled datasets; Translate business requirements into robust technical solutions; Collaborate with Power BI developers; Contribute to CI/CD, release management, and technical documentation
Seniority
Senior, hands-on IC
