Junior Data Engineer

Summary

Join Docplanner's Data Platform Team as a Junior Data Engineer and become a first responder for data platform issues. Monitor workflows, investigate failures, apply hotfixes, and learn how systems work. Collaborate with other teams to resolve data problems, contribute to automation initiatives, and expand your understanding of orchestration, data ingestion, and data pipelines. This learning-focused engineering role offers direct access to the entire stack and a path toward becoming a full-fledged Data Engineer. The role requires experience with Python and SQL, familiarity with GitHub, and strong communication skills. Based in Spain or Poland, excellent English communication is a must.

Requirements

• You already have some experience with Python and SQL (this is a must)
• You’re familiar with GitHub and understand the basics of version control
• You know/are curious about orchestration tools (like Airflow) and eager to learn how they work
• You’re a strong communicator – you’re not afraid to ask for help, clarify requirements, or collaborate to fix a problem
• You don’t like repetitive work — you instinctively look for ways to automate and improve things
• You’re proactive: you don’t just solve the problem, you ask why it happened and how to prevent it next time
• You’re eager to grow and see this role as an opportunity to deepen your expertise and expand your impact and career as an engineer
• An eye on the future: you’re excited by the idea of AI tools automating operational work, and you want to help us build toward that
• You must be based in Spain or Poland
• You must have very good English communication skills, both spoken and written

Responsibilities

• Monitor and respond to data pipeline and infrastructure issues during working hours
• Troubleshoot and fix issues in collaboration with the Data Engineering team
• Write clear documentation and runbooks for recurring issues
• Interact daily with other teams (analytics engineers, analysts, developers, platform engineers, product managers) to understand and resolve data problems
• Contribute and lead to automation initiatives: is it worth solving the same problem twice?
• Continuously expand your understanding of orchestration, data ingestion, data pipelines, and tooling across the platform
• Help prepare the platform for smarter automation and AI-driven incident handling

Preferred Qualifications

• Exposure to cloud environments (especially AWS)
• Interest in DevOps tooling (Docker, Terraform, Kubernetes)

Benefits

• A salary adequate to your experience and skills
• Share options plan after 6 months of working with us
• Remote or hybrid work model with or hub in Warsaw
• Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
• 20/26 days of paid time off (depending on your contract)
• Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate)
• Private healthcare plan with Signal Iduna for you and subsidized for your family
• Multisport card co-financing for you to have access to sports facilities across Poland
• Access to iFeel , a technological platform for mental wellness offering online psychological support and counseling
• Free English classes