Data Engineer

Description:

You enjoy engineering, but you don't necessarily want to spend your career building pipelines without ever seeing what happens with the data.

What if you could get closer to the business, work directly with decision-makers and have a genuine influence over how data is used?

I'm working with a leading investment firm looking to hire a Data Engineer into its technology team.

It's a broad role that goes beyond traditional Data Engineering. You'll be building reliable data infrastructure, developing analytical tools and working closely with stakeholders to turn business problems into practical technical solutions.

There's also some particularly interesting work around LLMs and applied AI, including agent-based applications, document extraction and natural-language access to data.

What you'll bring:

• 3+ years' experience building and operating production data pipelines
• Strong Python and SQL skills
• Hands-on AWS experience
• Understanding of infrastructure as code and CI/CD
• Strong analytical and problem-solving ability
• Comfortable working directly with stakeholders and navigating ambiguous requirements
• An interest in data analytics, BI and emerging AI technologies