{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Data Engineer – Content Analytics”, “description”: “
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
Company: Cpl Life Sciences
Location: London
Job Description:
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
#J-18808-Ljbffr…
Posted: May 20th, 2026