Datatech Analytics
AWS Data Engineer
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AWS Data Engineer – Python, SQL & Spark
Salary: £65,000–£75,000, dependent on experience
Location: Central London – three days in the office and two from home
Job reference: J13171
We’re looking for an AWS Data Engineer to help build and scale the data platform behind an innovative consumer intelligence business.
You’ll design and develop production-grade data pipelines on AWS, processing large volumes of ethically sourced behavioural data and transforming it into reliable, accessible data products. This is a hands-on engineering role requiring strong commercial experience with AWS, Python and SQL, alongside practical experience using Spark or PySpark.
You’ll join a small, collaborative technology team where you can take ownership, influence technical decisions and contribute across the full data engineering lifecycle. The platform is continuing to evolve, so you’ll have the opportunity to improve existing processes while helping shape how new data products are designed and delivered.
The team also uses Claude extensively to support development, debugging, testing and documentation. You’ll use AI-assisted development tools alongside strong engineering fundamentals, applying your own judgement to review, test and validate the resulting code.
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What you’ll be doing:
- Designing, building and optimising scalable data pipelines and ETL/ELT processes on AWS
- Developing reliable data solutions using Python, SQL and Spark/PySpark
- Processing and transforming large, complex behavioural datasets
- Building reusable, maintainable and well-tested data pipelines
- Improving data quality, monitoring, reliability and performance
- Troubleshooting production issues and identifying their root causes
- Using Claude and other AI-assisted development tools to improve delivery
- Working closely with engineers, analysts and data scientists
- Identifying opportunities to automate and improve data workflows
- Contributing to technical decisions as the platform continues to scale
What we’re looking for:
- Strong commercial data engineering experience within an AWS environment
- Hands-on experience building and supporting production data pipelines using AWS data services
- Strong Python and SQL skills
- Practical experience developing data pipelines with Spark or PySpark
- A sound understanding of scalable ETL/ELT design, data modelling and data quality
- Experience with testing, version control and modern software engineering practices
- Experience using Claude, Copilot or another AI-assisted development tool, with the ability to review and validate generated code
- Strong communication skills and an interest in working within a small, collaborative team
Get help with your application
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This is an opportunity to take ownership beyond one narrow area, work with large-scale behavioural data and help shape an AWS data platform as the business grows.
Applicants must have full right to work in the UK without requiring sponsorship now or in the future.
Alternatively, you can refer a friend or colleague through our referral scheme. For each relevant candidate you introduce who we successfully place, you will be eligible for our gift or voucher scheme.
Datatech is one of the UK’s leading recruitment agencies specialising in data and analytics and is the host of the critically acclaimed Women in Data event. For more information, visit www.datatech.org.uk.
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