Data Platform Engineer (Mid-level)

📋 Description

• Analyze existing deployment pipelines, determine the requirements of new tasks, and adapt
• Extend and maintain infrastructure modules in line with existing repository patterns, ensuring
• Implement naming conventions, access controls, retention policies, and other governance
• Develop and maintain a reusable template repository with preconfigured CI/CD
• Build tools and modules that simplify pipeline creation and reduce repetitive engineering work
• Write practical documentation, runbooks, and troubleshooting guides that help engineers understand

🎯 Requirements

• Demonstrated experience independently owning a deployment path end to end, including building a
• Approximately two years or more of professional experience in software, data, platform, DevOps, or
• A degree in Computer Science, Engineering, or a related field.
• Practical working knowledge of Python and SQL and the ability to use them regularly in professional
• Experience working with deployment pipelines and infrastructure-as-code practices, with the ability
• Ability to navigate an unfamiliar codebase, explain how it works, identify potential failure

🎁 Benefits

• Annual compensation ranging from €33,000 to €43,000, determined through an objective salary
• Work remotely from anywhere worldwide, with company-funded trips to headquarters for team meetups.
• Meal vouchers available to remote and office-based employees.
• Benefits designed to support physical and mental well-being.
• An annual learning budget to support professional growth and technical development.
• Access to AI-powered tools for everyday engineering work and experimentation.