Data Engineer OPS (H/F)
Core
Design, evolve, and operate enterprise data platforms and pipelines for client transformation projects.
Role type
Senior Data Platform Engineer (Data OPS)
Builds
Robust, automated data platforms and ELT pipelines for client applications and infrastructure.
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data platform architecture, ELT patterns, CI/CD pipeline management, Data governance, Snowflake administration, Python, Docker, Monitoring
Preferred skills
dbt, Airflow, Superset, OpenMetadata, Prometheus, Grafana
Technologies
Snowflake, DBT, Python, Apache Airflow, OpenMetadata, Apache Superset, Power BI, Azure DevOps, Git, Docker, Prometheus, Grafana
Responsibilities
Define and evolve data platform architecture; Manage MCO of platform components (Airflow, Superset, OpenMetadata, JupyterHub); Industrialize CI/CD deployments; Administer Snowflake resources and costs; Maintain monitoring systems.
Seniority
Senior, hands-on IC
