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

Design, implement and scale end-to-end data products that support growing data processing and analytical needs.

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.

About you

5+ years of hands-on experience in Data Engineering or Software Engineering.

Degree in computer science, engineering or equivalent technical field experience.

Proficient in cloud-based data processing and storage technologies like Databricks, Snowflake, AWS S3, Spark, Airflow.

Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).

Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively.

Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.

Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance