Data DevOps Engineer
Core
Design, build, and operate core platforms, tooling, and automation for the data engineering ecosystem to ensure reliability, security, and observability.
Role type
Senior IC Data DevOps Engineer
Builds
Runtime platforms (Apache Airflow, Power BI/Microsoft Fabric), container images, CI/CD pipelines, and developer workflows for data ingestion, transformation, and analytics.
Domain
Data Engineering / DevOps / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Apache Airflow architecture, CI/CD pipeline design, Docker containerization, Linux system administration, Python scripting, Infrastructure as Code (Terraform), observability (Prometheus, Grafana), Git-based development.
Preferred skills
Kubernetes orchestration, Snowflake, DBT, Microsoft Fabric, HashiCorp Vault, SaaS environment experience.
Technologies
Apache Airflow, Python, Docker, Kubernetes, Helm, GitLab CI/CD, Terraform, Snowflake, DBT, Microsoft Fabric, Power BI, Prometheus, Grafana, Azure, Oracle OAC, Budibase, Limesurvey, Portainer, Dockhand, MySql, Postgresql, Sonarcloud, Datahub.
Responsibilities
Design and evolve Apache Airflow platform architecture and custom Docker images; implement and operate CI/CD pipelines for data warehouse and BI tools; architect and run containerized data systems; design platform-level observability and incident response processes; partner with data teams to translate needs into scalable platform solutions.
Seniority
Senior, hands-on IC
