Data Engineer AWS

Datatech Analytics; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Datatech Analytics in London is seeking a Data Engineer to help build and evolve a cloud-based AWS data platform. You will work with substantial volumes of real-world consumer data and take ownership of architecture, design, and end-to-end delivery.

The role emphasizes hands-on cloud engineering, Python and SQL expertise, Spark/PySpark, and an interest in AI-assisted development to improve productivity and create scalable, reliable data pipelines.

Qualifications

• Commercial experience with AWS, Python and SQL.
• Hands-on experience with Spark / PySpark.
• Understanding of data engineering principles and building reliable, scalable pipelines.
• Experience working with cloud-based data platforms.
• Comfort with ownership and working across a varied technical environment.
• Interest in AI-assisted development and modern engineering practices.

Responsibilities

• Build modern cloud-based data platform components on AWS.
• Engineer at scale with large volumes of behavioural and consumer data.
• Take ownership of architecture, decisions and end-to-end delivery.
• Collaborate across projects and technologies within the team.
• Leverage AI-assisted development tools to accelerate work and productivity.
• Contribute to a close-knit engineering culture and continuous improvement.

Skills

AWS

Python

SQL

Spark/PySpark

Data pipelines

Cloud platforms

Ownership

AI-assisted development

Job description

London | Hybrid | Competitive salary, dependent on experience

Build something different. Engineer at scale. Put AI into practice.

Join an established, market-leading consumer intelligence business investing heavily in its AWS data platform and engineering capabilities.

Working with huge volumes of real-world consumer data, you'll help build and evolve the technology behind products and insights used by some of the world's biggest brands and broadcasters.

The business works directly with people who actively opt in to share their data in return for payment, transforming it into valuable consumer intelligence.

You'll join a small, ambitious engineering team where you can take ownership, influence technical decisions and work across the full engineering lifecycle.

This isn't about maintaining yesterday's technology. It's about building what comes next, using modern cloud engineering and AI-assisted development tools, including Claude Code.

• Build modern technology: Play a key role in developing and evolving a cloud-based AWS data platform.
• Engineer at scale: Work with substantial volumes of behavioural and consumer data.
• Take ownership: Get involved in architecture, engineering decisions and end-to-end delivery.
• Put AI to work: Use AI-assisted development tools, including Claude Code, to accelerate engineering and improve productivity.
• Make your mark: Join a close-knit team where ideas are encouraged and individual contributions are visible.
• Keep developing: Work across different technologies, projects and engineering challenges.

What we're looking for

• Commercial experience with AWS, Python and SQL.
• Hands-on experience with Spark / PySpark.
• A good understanding of data engineering principles and building reliable, scalable pipelines.
• Experience working with cloud-based data platforms.
• Someone comfortable taking ownership and working across a varied technical environment.
• An interest in AI-assisted development and modern engineering practices

Full UK right to work required. No sponsorship available.

Interested?

If you're a Data Engineer who enjoys building modern data platforms, working with cloud technologies and exploring how AI can improve the way engineering gets done, this is well worth a conversation.

London | Hybrid | Competitive salary, dependent on experience

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