Data Engineer – Content Analytics

We’re looking for an experienced Data Engineer to join a high-performing Content Analytics & Products team, supporting the development of data-driven products and insights across the full content lifecycle.

This role sits at the heart of a growing data function, where you’ll design and build scalable data pipelines, enabling both customer-facing features and internal analytics.

• Designing, building and optimising scalable data pipelines (batch & streaming)
• Ingesting and transforming data from multiple sources into high-quality datasets
• Developing robust data models to support analytics and reporting
• Implementing big data solutions using tools such as Spark, EMR, Redshift and Kinesis
• Building and maintaining data platforms using infrastructure-as-code (AWS CDK)
• Creating automated data quality frameworks to ensure accuracy and reliability
• Writing high-performance SQL for complex data transformations
• Partnering with business and engineering teams to deliver impactful data solutions
• Improving performance and cost efficiency across data processing and storage

• Strong experience building and operating data pipelines at scale
• Solid background in data modelling, warehousing and ETL/ELT
• Proficiency in SQL and at least one programming language (Python, Java, Scala, etc.)
• Experience working with large, complex datasets in distributed environments
• Good understanding of software engineering best practices (CI/CD, testing, version control)

• Experience with AWS tools (Redshift, S3, Glue, EMR, Kinesis, Lambda)
• Exposure to Spark or other big data frameworks
• Experience with non-relational databases or modern data storage solutions