Data & Analytics - Data Engineer (all genders)
Core
Design, build, and operate reliable data pipelines and products for a group of insurance and pension funds.
Role type
Senior Data Engineer (Data & Analytics)
Builds
Databricks pipelines, data ingestion/orchestration systems, and optimized SQL/NoSQL databases.
Domain
Insurance and Pension Funds / Data Engineering
Deliverable
production ML models | product features
Required skills
Databricks (Python, Spark SQL, Lakehouse), Azure Data Factory, data modeling, performance tuning, DataOps (versioning, testing, automated deployments, observability)
Preferred skills
Declarative Pipelines, Jobs/Workflows, reusable template creation
Technologies
Databricks, Python, Spark SQL, Lakeflow, Azure Data Factory, SQL, NoSQL
Responsibilities
Collaborate with data scientists and product owners to build pipelines; Design and operate Databricks pipelines; Integrate and optimize databases; Ensure pipeline quality via monitoring and testing; Manage platform costs and performance; Establish group-wide standards and documentation.
Seniority
Experienced, hands-on IC