Senior Data Engineer

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🕒 April 1

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Zopa Bank

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

💸 Finance

💳 Fintech

💰 Venture Round on 2023-02

Finance • Fintech

Zopa Bank is a digital bank with a mission to simplify personal finance by offering straightforward financial products, such as loans, credit cards, and savings accounts. Founded in 2005, Zopa focuses on providing transparent and customer-friendly services, with a commitment to honesty and trust. It uses technology to expedite processes, such as pre-approval credit checks without impacting credit scores, and offers an easy-to-use app for managing financial products. Zopa has gained recognition for its quick and clear customer service and has consistently won awards for its personal loan offerings, including the British Bank Awards' Best Personal Loan Provider. The bank also emphasizes partnerships, like their recent collaboration with John Lewis Money, and is involved in the Fintech Pledge to drive innovation in financial services.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• Flexible working arrangements • Diversity program • Professional development • Remote work option for up to 120 days a year