Data Platform Engineer (Mid-level, Python/AWS)

Location: Remote, with expenses-paid trips to headquarters for team meetups

Salary: €33,000–€43,000 annual

Company

hirify.global provides a shipping and fulfillment platform that helps merchants automate carrier selection, label generation, tracking, and delivery management across multiple e-commerce platforms and couriers.

What you will do

• Read, assess, and adapt existing CI/CD pipelines for new data platform tasks.
• Extend infrastructure-as-code according to established repository patterns.
• Apply data engineering and governance standards, including naming conventions, access control, and retention policies.
• Build self-service tooling with a template repository, preconfigured CI, infrastructure-as-code, governance, and one-command pipeline modules.
• Own the access-request flow for data resources and maintain documentation that enables engineering teams to work independently.
• Take ownership of the template repository and infrastructure-as-code modules, including roadmap decisions.

Requirements

• Independent end-to-end ownership of a deployment path, including writing the pipeline, troubleshooting failures, and creating the runbook.
• Ability to open unfamiliar code, explain its behavior, and identify likely failure points.
• Approximately 2 or more years of professional experience.
• Degree in Computer Science, Engineering, or a related field.
• Daily working knowledge of Python and SQL, plus Docker and cloud fundamentals; AWS experience is required at a conceptual level.
• Comfort working across data engineering, backend, and infrastructure; this is not a frontend or ML research role.

Nice to have

• Experience with SageMaker or similar cloud data and machine-learning infrastructure.
• Experience using AI coding tools such as Copilot, Claude, or Cursor while being able to explain and validate their output.

Culture & Benefits

• Remote flexibility with expenses-paid trips to headquarters for team meetups.
• Meal vouchers, including for remote employees.
• Mental health support, fitness benefits, and a yearly learning budget.
• No clock-in or clock-out policy and a one-time home office allowance.
• Birthday Time Off, a Career Growth Program, and structured feedback.
• International team with an emphasis on ownership, reasoning, honest retrospectives, and respect for existing patterns.

Hiring process

• Introductory call with the People & Culture team and a short non-technical reasoning exercise.
• Up to 90-minute practical take-home exercise using an existing codebase, with AI tools allowed.
• Technical discussion about the submission, followed by a Team Lead conversation.