Cpl Life Sciences
Senior Data Engineer (AWS)
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Senior Data Engineer
Location: London (Hybrid Working)
Contract Length: 12 Months
Day Rate: Up to £400 per day
IR35 Status: Inside IR35
Start Date: ASAP
The Opportunity
We are supporting one of the world's leading streaming and entertainment platforms in the search for an experienced Data Engineer to join a high-performing data team.
- This is an opportunity to work within a large-scale, cloud-first environment where data sits at the heart of business decision-making, customer experience, and product innovation.
- You will be responsible for designing, building, and optimising modern AWS-based data solutions that support analytics, reporting, data science, and customer-facing applications.
- Working with high-volume datasets and modern data engineering technologies, you'll play a key role in ensuring data remains reliable, scalable, and accessible across the organisation.
- This role would suit someone who enjoys solving complex data challenges, building robust data platforms, and taking ownership of end-to-end data engineering solutions.
The Role
As a Data Engineer, you will design, develop, and maintain scalable data platforms capable of processing large volumes of structured and unstructured data.
- Working closely with Data Scientists, Analysts, Software Engineers, and Business Stakeholders, you will help deliver trusted data products and services that drive business value across multiple domains.
- You will be responsible for building modern cloud-native data pipelines, implementing data quality frameworks, and continuously improving platform performance, scalability, and operational efficiency.
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Key Responsibilities
- Design, build, and maintain scalable ETL and ELT data pipelines
- Develop and optimise data models and data warehouse solutions
- Build and support both batch and real-time event-driven data processing pipelines
- Develop high-performance SQL queries and transformation processes
- Work with large-scale datasets across multiple business domains
- Implement automated data quality controls, validation frameworks, and monitoring solutions
- Build and maintain cloud-native data platforms using AWS technologies
- Develop Infrastructure-as-Code solutions to support scalable and repeatable deployments
- Partner with business stakeholders to translate requirements into technical solutions
- Support reporting, analytics, and self-service data capabilities
- Optimise data processing performance, scalability, reliability, and cloud costs
- Collaborate with software engineering teams to support customer-facing products and services
- Participate in production support and operational activities where required
- Contribute to continuous improvement across data engineering standards, tooling, and best practices
Essential Skills & Experience
- Proven experience as a Data Engineer, Analytics Engineer, Software Engineer, or similar data-focused role
- Strong experience designing and delivering end-to-end data engineering solutions
- Advanced SQL development skills
- Strong programming experience with Python, Java, Scala, or similar languages
- Experience building and maintaining ETL and ELT pipelines
- Solid understanding of data modelling and data warehousing principles
- Experience working with large-scale datasets in distributed environments
- Ability to deliver projects independently from design through to production deployment
- Knowledge of software engineering best practices including:
- Version control
- Automated testing
- CI/CD pipelines
- Code reviews
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AWS Experience Required
- Experience with several of the following AWS technologies:
- Amazon Redshift
- Amazon S3
- AWS Glue
- AWS Lambda
- Amazon EMR
- Amazon Kinesis
- Amazon SNS
- Amazon SQS
- IAM Roles & Permissions
Desirable Skills
- Apache Spark
- Elastic MapReduce (EMR)
- Infrastructure as Code (Terraform, AWS CDK, CloudFormation)
- Event-driven architectures and streaming platforms
- Data quality frameworks and monitoring solutions
- NoSQL and non-relational databases
- Analytics and reporting platforms
Why Apply?
- Work for one of the world's most recognised streaming and entertainment brands
- Join a highly skilled and collaborative data team
- Gain exposure to large-scale cloud-native data platforms
- Work with modern AWS technologies and engineering practices
- Opportunity to influence the design and evolution of enterprise-scale data solutions
- Long-term contract with immediate project impact
If you're interested in learning more, please apply or contact Luke Sandilands at luke.sandilands@cpl.com.
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