Data Platform Engineer (Mid-Level)

About the role

A partner company is looking for a Data Platform Engineer based in Estonia to help turn an established data and machine learning platform into a scalable, self-service environment. You will build and improve deployment pipelines, infrastructure-as-code modules and reusable tooling, working across data engineering, backend development and infrastructure to support a global shipping and fulfillment platform. The position offers increasing ownership, with the chance to lead the roadmap for shared platform tooling within six months.

Key responsibilities

• Analyze and improve CI/CD pipelines and adapt workflows to support reliable, repeatable delivery
• Extend and maintain infrastructure-as-code modules following existing repository patterns
• Apply data governance standards such as naming conventions, access controls and retention policies
• Build a reusable template repository with preconfigured CI/CD, IaC and governance standards
• Create reusable modules that simplify pipeline creation and reduce repetitive work
• Write documentation, runbooks and troubleshooting guides
• Design and manage data access-request processes
• Take ownership of the template repository and infrastructure modules, including roadmap decisions
• Collaborate with data engineers, backend engineers and infrastructure specialists, and use AI-assisted development tools responsibly

Required profile

• Approximately two years or more of professional experience in software, data, platform, DevOps or infrastructure engineering
• Degree in Computer Science, Engineering or a related field
• Experience owning a deployment path end to end, including troubleshooting and documenting solutions in runbooks
• Willingness to work across data engineering, backend systems and infrastructure

Required skills

• Python and SQL
• CI/CD and infrastructure-as-code
• Docker and familiarity with cloud concepts, particularly AWS
• Comfortable using AI coding assistants such as Copilot, Claude or Cursor

What we offer

• Annual compensation of EUR 33,000 to 43,000
• Remote work from anywhere worldwide, with company-funded trips to headquarters
• Meal vouchers, mental health and fitness support, and an annual learning budget
• Home office allowance, flexible working with no clock-in/out, and a birthday day off
• Career growth program and access to AI tools for engineering work