Data Engineer

The Role

We are looking for a Data Engineer to join our team and play a key role in building and maintaining the data pipelines that fuel our analytics and machine learning initiatives. This isn’t just about processing data; it’s about enabling business value.

The Team

At [Employer hidden — sign up to reveal], data drives the future of entertainment. From powering cutting-edge analytics to enabling better streaming experiences, we build data solutions that shape the way millions interact with TV. This is a role for a problem solver who thrives on making an impact.

Responsibilities

• Design, develop & maintain data pipelines, using PySpark and modern tooling to process and transform large volumes of data efficiently.
• Collaborate cross-functionally, working closely with senior engineers and data product teams to translate business requirements into technical specifications.
• Ensure data quality & reliability—write high-quality, well-tested code, troubleshoot issues, and resolve performance bottlenecks.
• Contribute & grow, participating in code reviews, providing constructive feedback to peers, and helping develop our core data engineering tools.

Skills You’ll Need (Minimum Criteria)

• Hands-on data engineering experience with large-scale datasets and data warehousing concepts.
• Strong programming skills in Python and SQL, with solid experience in PySpark.
• Cloud platform familiarity (GCP or AWS) and experience with tools like BigQuery, Airflow, and messaging queues.

Other Key Criteria

• A software engineering mindset with understanding of automated testing and maintainable code.
• A collaborative spirit with excellent communication skills and desire to learn.

Benefits

[Employer hidden — sign up to reveal] offers flexible working, generous holiday allowance, annual bonus opportunity, competitive pension contribution, save as you earn scheme, and wellbeing days.