Senior Data Engineer

As part of the Enterprise Data & Intelligence (EDI) team, you will play a key role in enabling company-wide data-informed decision making. Business and Product teams rely on our data assets to analyze and optimize user adoption, growth, and revenue.

The ideal candidate will have a strong mix of technical and collaboration skills. They should be able to quickly understand business priorities and proactively develop and enhance tools, automations and analytics that support those priorities.

This role is based in our Warsaw office with an office-centric hybrid schedule - in-office days are Monday, Tuesday, and Thursday.

We offer a Contract of Employment (UoP) for our employees in Poland.

What you’ll achieve

Build and deliver scalable data pipelines using modern cloud-based architectures, optimizing data reliability and performance.

Develop new API integrations to streamline and enhance data accessibility across business functions.

Collaborate with Data Science and Business teams to develop analytical solutions, unlocking actionable insights through data analysis, investigation, and visualization.

Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.

Establish trust and strong relationships across technical and business teams, ensuring alignment on data strategy and execution.

Lead process automation efforts and proactively identify optimisation opportunities, improving data workflows and ensuring scalability.

Implement monitoring, alerts, and compliance controls to ensure data accuracy, availability, and security.

Be the go-to expert for data solutions and integrations, providing guidance and technical mentorship to team members.

Create accurate and clear technical documentation to standardize processes and enhance knowledge-sharing.

About you

Degree in Computer Science, Engineering or equivalent technical field experience

6+ years of hands-on experience in Data Engineering or Software En