Data Engineer
Summary
Data Engineer on Medius's Data Platform team building ETL/ELT pipelines and data processing on Azure Databricks to power customer-facing features, AI/ML, analytics and reporting across the spend-management suite, with shared ownership of Terraform, IaC and DevOps. Hybrid role in Kraków; core stack is Python/PySpark and SQL.
Research & Dev
- Cracow
- Hybrid
- Connect – We believe in the power of people—individually and collectively and our success depends on understanding and respecting each other. We appreciate that ‘empowering finance teams of the future’ is an exciting endeavor, and we share it with everyone around us.
- Question – We enjoy the challenge of our work and the thrill of collaboration. We are not afraid to question ourselves and each other because we believe diverse perspectives can lead to better outcomes and that there is great power in resolution.
- Own – We are thorough, thoughtful, and decisive. We anticipate what’s next, what a customer might need, and then we deliver. That’s how we get things done. And that’s how we remain a leader. Customers trust us to do our job so that they can focus on what they do best.
- Build the pipelines behind customer features that span our products — plus the AI/ML, analytics and reporting that sit on top.
- Design and maintain ETL/ELT pipelines and data processing on Azure Databricks.
- Share ownership of the platform with the team: Terraform, IaC, DevOps, reliability, security, performance. Nobody owns all of it alone.
- Shape our patterns and standards, and how data gets governed and kept accurate.
- Help shape the backlog. Bring ideas, challenge assumptions, decide what we build next.
- Spot what’s missing and pick it up without waiting to be asked.
- Python (PySpark) and strong SQL, used on large-scale datasets.
- Hands‑on ETL/ELT design in a lakehouse environment.
- Comfort with infrastructure as code (Terraform) and DevOps work.
- Solid data modeling and integration, with the discipline to keep data trustworthy.
- Apache Spark and Azure Databricks. We build on Databricks, so this is a real head start — but strong distributed-processing fundamentals and the appetite to master our stack will get you there, and we’ll back you while you do.
- Data mesh architecture.
- Other modern data platforms or ETL tools — Microsoft Fabric, Snowflake, BigQuery.
- AI/ML pipelines, analytics and reporting platforms.
- Data governance, security and compliance.
- Real influence over how a young platform gets built — the patterns you set will still be here in three years.
- Deep, hands‑on Databricks experience on a stack that’s shaping how organizations do data and AI at scale.
- A clear mission: our products feel like one product because of what this team builds.
- Continuous learning in a people‑first culture. Curiosity is the norm here, not a perk.
- Well‑being perks: MyBenefit Program, Private Healthcare, Life Inssurance, B‑Day Off, Training Budget
- Fun & Connection: Summer & Winter Parties, Team Events
- We’re an employee‑centric business
- Worldwide workforce, top talent
- Great culture that’s synonymous with our values
- Connect: We believe in the power of people, both individually and collaboratively. Our success is driven by respect and understanding, with a shared commitment to empowering finance teams of the future.
- Question: We embrace challenges and value diverse perspectives. By questioning and collaborating, we unlock better solutions and continuously innovate.
- Own: We are proactive, decisive, and committed to delivering results. We anticipate customer needs and follow through, earning their trust to focus on what they do best.