Data Engineer

You will design, build and support scalable data models and distributed ETL pipelines across large datasets, working closely with stakeholders across multiple business areas. You will champion DataOps best practices, mentor junior engineers and act as a bridge between workstream squads and the core data platform., Designing and building complex data models and distributed ETL pipelines at scale. Writing advanced SQL for high-performance data transformation and optimisation. Delivering large-scale data warehousing solutions including dimensional modelling. Working within agile squads across multiple workstreams. Supporting incident diagnosis and resolution to ensure platform reliability. Mentoring team members and deputising for the Engineering Manager when needed.

Strong data engineering experience with GCP and BigQuery. Advanced SQL. Hands-on dbt experience. CI/CD and test-driven development. Degree in Computer Science, Software Engineering or related field. Solid understanding of dimensional modelling, data warehousing and ETL pipeline design. Strong communication skills and ability to influence technical decisions., Snowflake, Iceberg and lakehouse architecture. Customer and commerce data experience. BDD principles. AI/ML exposure.

A globally recognised media and streaming business delivering content to over 50 million customers across the US and Europe. The data engineering team sits at the heart of a world-class streaming platform, ingesting and transforming data at massive scale to power analytics and business decision-making.