You’ll collaborate to design and build resilient data pipelines and warehouse solutions, owning their quality, reliability, and end-to-end delivery.
Requirement gathering with Product teams, Analysts and business stakeholders inside and outside of the team, through pairing and peer reviewing on tasks, to developing tested, well-documented data workflows running in production
Ensuring data architecture and modelling decisions are documented and understood, taking an active part in the team's operational responsibilities
Have a voice in all our ceremonies from retrospectives, refinement sessions, architectural planning sessions through to social activities, helping to shape how we work and continuously improve our data capabilities
We take development seriously: engineers are expected to keep learning, and we actively support time spent improving skills and deepening expertise.

You love shipping great data products and reliable pipelines, not just writing elegant code
You are an experienced Senior Data Engineer, who works with Python and SQL, and is comfortable designing and building data pipelines end‑to‑end
As an Engineer, you're interested in the business questions behind the data, not just the technical requirements
You feel comfortable in a fast-moving environment and are ambitious about the speed, reliability and observability of your data workflows
You care deeply about data quality, testing and documentation, and take a systematic approach to ensuring trustworthy, well-modelled datasets
You've worked on large-scale data platforms or warehouses, with proven experience handling complex data models and high‑volume datasets in production
You enjoy partnering with analysts, analytics engineers and product teams, and you're motivated by enabling others to make better decisions with data
You are comfortable with ambiguity in a rapidly evolving environment, and are excited by evolving architectures and technologies
You are a team player who thrives in a humble, supportive environment, are happy to pair and help others, and are just as comfortable asking for help yourself
Added bonus: experience of data engineering/analytics in a regulated environment – e.g. finance, retail or healthcare

Senior Data Engineer

Key skills