Senior Databricks & Data Engineer
Core
Build and maintain data models and automated flows for an HR Analytics platform serving the Nordic and Baltic regions.
Role type
Senior Data Engineer (Databricks & HR Analytics)
Builds
HR data pipelines, analytical models, and automated workflows for a bank's HR platform
Domain
Banking / Human Resources Analytics
Deliverable
production ML models | product features
Required skills
Databricks, PySpark, SQL, Kimball modeling, SCD1/SCD2, Delta Lake, Unity Catalog, Azure DevOps, PowerBI
Preferred skills
Data analysis studies, Banking/Finance sector experience
Technologies
Databricks, PySpark, SQL, Oracle, Azure DevOps, PowerBI, Delta Lake, Unity Catalog
Responsibilities
Develop and optimize complex data models with SQL and Oracle; Design and implement analytical solutions in Databricks; Coordinate development projects and requirements via Azure DevOps; Ensure data integrity and efficient backend structure for HR data; Identify and present business-critical trends based on personnel statistics; Collaborate with backend developers to scale the analysis platform
Seniority
Senior, hands-on IC