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.

Link Group

Link Group is a company operating in the technology industry, focusing on the development of high-quality web applications. The company emphasizes creating intuitive user interfaces and robust backend services, particularly using technologies like React JS and Kotlin. Link Group values collaboration, as evidenced by its emphasis on teamwork with architects, designers, and cross-functional teams. The company is committed to improving user experience and interface design through iterative development and feedback, highlighting its dedication to innovation and quality in its products.

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