Senior Data Ops Engineer (f/m/d)
Core
Design, implement, and maintain test automation frameworks and data pipelines to drive continuous delivery and ensure data platform reliability.
Role type
Senior Data Ops Engineer (Data Platform & Infrastructure)
Builds
Data pipelines, Kubernetes clusters, Airflow DAGs, dbt models, and observability tooling
Domain
Cloud software, compliance & ethics, data privacy
Deliverable
production ML models
Required skills
SQL, dbt, Kubernetes, Docker, Helm, Python, CI/CD, PostgreSQL, MySQL, Linux, Airflow, Trino
Preferred skills
Apache Spark, networking troubleshooting, AI/LLM integration
Technologies
Airflow, dbt, Kubernetes, Trino, Helm, Docker, Git, Python, SQLMesh
Responsibilities
Design and maintain Airflow DAGs and data ingestion pipelines; manage Kubernetes namespaces and clusters; coordinate with SRE and Backend teams on architecture; expand monitoring and alerting setups.
Seniority
Senior, hands-on IC
