June 8, 2026
Data DevOps Engineer
Mid • Hybrid
18,000 - 22,000 PLN
Warsaw, Poland
Key Responsibilities
Infrastructure Management: Build and maintain scalable data platforms and cloud-based infrastructure.
Automation: Implement CI/CD pipelines for data workflows and automate manual processes using Infrastructure as Code (IaC).
Pipeline Optimization: Monitor, troubleshoot, and optimize data processing jobs to ensure high availability.
Security & Compliance: Ensure data integrity and security across all environments.
Collaboration: Work closely with Data Scientists and Engineers to streamline the deployment of data models.
Requirements
Systems & Scripting: Strong proficiency in Linux/Unix administration and Shell scripting.
Programming: Advanced knowledge of Python and SQL.
Mindset: Exceptional analytical and problem-solving skills.
Education: Degree in Computer Science, Data Engineering, or a related technical field.
Experience: 3–5 years of proven experience in Data Engineering or a DevOps-related role.
Nice-to-have
Cloud & Big Data: Hands-on experience with Azure, Apache Spark, and Databricks.
DevOps Tools: Proficiency with Docker, Kubernetes, CI/CD tools, and IaC (e.g., Terraform, Ansible).
Data Ecosystems: Familiarity with Big Data technologies such as Hadoop or Kafka.
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