Senior Data Engineer

The team

The Data Engineering team is responsible for designing, building and running the complex data pipelines that the bank relies on. We combine skills in software engineering, data analysis and operations and partner with teams across the company to solve varied, challenging problems. We value collaboration, pragmatism and continual learning over individual heroics.

• 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 the team, through pairing and peer reviewing on tasks, to develop 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.

• 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.

This hybrid role requires you to come to our London office 2‑3 days a week.

You’ll also have the option of working from abroad for up to 120 days a year (subject to having the right to work in the country of choice).

We value face‑to‑face collaboration and a good work‑life balance.

Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work.

Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.

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