Senior Data Engineer – Data Analytics Platform 80-100% (f/m/d) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)
Core
Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, and data collection within a Data Platform foundation for Data Analytics and AI.
Role type
Senior Data Engineer (Data Platform)
Builds
Data pipelines, backend services, and data governance/security tools for real-time decisioning and reporting.
Domain
Financial Services / Data Engineering
Deliverable
production ML models | product features
Required skills
ETL/ELT, data warehousing, Python, Scala, SQL, Microsoft Azure, Databricks, PySpark, Spark Streaming, Delta Lake, event-driven architectures (Kafka, Event Hubs, Apache Flink), containerized microservices (Kubernetes, Docker, Helm), dbt, system design, testing.
Preferred skills
Data Vault modeling.
Responsibilities
Design and maintain data pipelines for real-time decisioning and reporting; develop software to improve data governance and security; ensure data security and quality processes; produce high-quality, well-tested, and secure code.
Seniority
Senior, hands-on IC
