A day in the life:
- 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.
About you:
- 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
- Hands-on experience of technologies such as AWS, Terraform, Spark, DBT or Airflow
- Exposure to Databricks or Snowflake
Top Skills
What We Do
We’re Zopa, and we want to make money work better for you. Our diverse team is united in their mission of creating simple, fair and honest financial products that have the customer’s needs at their heart. We’re proud that this dedication is reflected in our excellent rating on TrustPilot. We’ve always been unapologetically honest with our customers, and value the same in return. Their feedback helps us shape what we build, so we can provide a bank fit for today, and for the future. We’re not the new kids on the block though - we’ve been a pioneering force in finance for 16 years. In 2005, we built the first ever peer-to-peer (P2P) lending company, giving our customers access to loans built for real-life and intelligent investments backed by cutting-edge tech. In 2020, we launched Zopa Bank, meaning we could offer more – like fixed term savings backed by FSCS protection and a credit card to help customers take control of their finances. We’ve lent out over £6 billion and are proud to have made money work better for over half a million people across the UK, whether they were looking to borrow or save.





