Data & Analytics - Data Engineering Lead (all genders)
Core
Lead and grow a data engineering team to design, build, and operate scalable data pipelines and manage production data systems.
Role type
Senior Data Engineering Lead
Builds
Scalable Databricks pipelines, Azure Data Factory ingestion/orchestration, SQL/NoSQL databases
Domain
Insurance & Financial Services / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Team leadership, Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, Jobs/Workflows, Azure Data Factory, Data modeling, Performance tuning, DataOps practices
Preferred skills
German language proficiency
Technologies
Databricks, Python, Spark SQL, Azure Data Factory, SQL, NoSQL
Responsibilities
Lead and grow a data engineering team, Coordinate projects with data scientists and product owners, Design and operate scalable Databricks pipelines, Define standards and reusable templates for the group, Ensure pipeline quality via testing and monitoring, Manage platform costs and performance