Data Engineer Job Central London area,City of Westminster England UK,Software Development

Location: City of Westminster

In this role, you will:

Design and build data pipelines from raw ingestion through to clean, modelled, production‑ready datasets that engineering and product teams rely on
Own data quality across your domain, defining standards, instrumenting checks, and resolving failures with urgency
Monitor pipeline health in production and respond to issues proactively, not reactively
Collaborate with engineering and product to understand data requirements and turn them into robust, scalable solutions
Help define and evolve the architecture of our data platform as we scale across new geographies and product surfaces
Document your work clearly so the team can understand, extend, and maintain what you build

Your background looks something like:

Multiple years of hands‑on data engineering experience in a professional setting
Strong Python skills and a demonstrated ability to build pipelines from scratch, not just extend existing ones
Solid knowledge of data modelling and practical experience with Apache Spark, AWS services, Docker, and Airflow
Experience in a startup or fast‑growth environment where you’ve made pragmatic decisions under uncertainty
Scala experience (nice to have, we’re happy to invest in teaching it if your foundations are strong)
Familiarity with dbt, Delta Lake, or similar modern data transformation tooling (nice to have)
Exposure to ML pipelines or feature stores (nice to have)

As a person, you:

Have a proactive, ownership‑oriented mindset. You don’t wait to be told something is broken
Take genuine pride in craft and correctness, and hold yourself to a high bar
Collaborate well with engineering teams who consume your data and communicate clearly across functions
Thrive in environments where you’re expected to build from scratch, not inherit a tidy queue of tickets
Are excited to work in‑person from our Paddington, London HQ (or equivalent location)

What does success look like in 6 months?

You’ve built and shipped at least two meaningful pipelines end‑to‑end
You own a defined area of the data platform and are making architectural calls with confidence
The team trusts your judgement without needing to review every decision

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