Senior Data Engineer
Core
Design, build, and scale a cloud-native data platform to enable AI strategies, bridging legacy systems with modern architectures.
Role type
Senior Data Engineer
Builds
Robust data pipelines, RAG architectures, vector databases, and analytical data models
Domain
Insurance technology / Cloud-native data infrastructure
Deliverable
production ML models
Required skills
Python, SQL, PL/SQL, Airflow, Spark, Kafka, Flink, AWS/Azure/GCP, ETL/ELT, distributed systems, RAG/vector fundamentals
Preferred skills
Data governance, data lakes/warehousing, dimensional modelling, insurance domain knowledge
Technologies
Airflow, Spark, Kafka, Flink, Liquibase, Oracle, vector databases
Responsibilities
Curate and document data assets; integrate data solutions with microservices and event-driven architectures; design and maintain RAG pipelines for AI agents; build reporting and aggregation layers; collaborate with Data Architects and SMEs on data strategy.
Seniority
Senior, hands-on IC
