Data Engineer – Content Analytics

Data Engineer – Content Analytics £400/day | Hybrid – London Inside IR35 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. What you’ll be doing • 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 What we’re looking for • 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) Nice to have • 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 If you are interested please apply or send your CV to luke.sandilands@cpl.com