Data & Analytics - Data Engineer (all genders)
Core
Design, build, and operate data pipelines and products for an insurance group serving 33 million customers across 30 countries.
Role type
Data Engineer
Builds
Reliable, maintainable data pipelines and products for the VIG Group
Domain
Insurance / 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
Technologies
Databricks, Azure Data Factory, Python, Spark SQL, Lakeflow
Responsibilities
Collaborate with data scientists and product owners; Design, build, and operate Databricks pipelines; Use Azure Data Factory for ingestion/orchestration; Integrate and optimize SQL/NoSQL databases; Manage platform costs and pipeline performance; Support establishment of standards and documentation
Seniority
Mid-level, hands-on IC
