Central London | Hybrid (4 days per week in the office)
Python, SQL, Airflow, dbt, Redshift, AWS
We’re partnered with a high-growth, VC-backed FinTech in the payments space. The business is scaling steadily and continuing to invest heavily in its data function as product and customer numbers grow.
They’re looking for a Data Engineer to join at a really interesting point in their journey. The foundations are there (Python, Airflow, AWS), but this Data Engineer will help take things to the next level as data volumes increase and requirements become more complex.
It’s a hands‑on Data Engineer role. You’ll be scaling ELT pipelines, improving warehouse performance and strengthening data quality across the platform. You’ll also work closely with Product and Commercial teams, so the work you do as a Data Engineer will directly feed into real business decisions.
They want a proper Data Engineer, someone who can genuinely code. Clean Python, strong SQL, good engineering fundamentals. Not just wiring tools together, but understanding how things work and caring about performance and reliability.
If you’re a Data Engineer who enjoys building things properly and working in a collaborative, in‑person team, this is a strong opportunity.
Experience needed:
* 3+ years as a Data Engineer
* Strong Python & SQL
* Airflow (or similar orchestration tools)
* Solid data warehousing / ELT knowledge
* AWS experience
* dbt or Redshift a bonus
Drop me a message or email emy@burnssheehan.co.uk if you’d like to hear more.
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