Senior Data Engineer

Senior Data Engineer

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build resilient data pipelines that power decision-making across the bank.
  • Company: Join Zopa, a pioneering bank redefining finance with a people-first approach.
  • Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact in a dynamic environment while collaborating with talented teams.
  • Qualifications: Experience in Python, SQL, and building end-to-end data pipelines.
  • Other info: Be part of a diverse team that values collaboration and continuous learning.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer‑to‑peer lending company. Fast forward to 2020 and we launched Zopa Bank, a bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre – we’ve built a business that empowers everyone to aim high, every day, to move finance forward.

We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count.

The Data Engineering team are 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. This is a chance to join Zopa’s Data Engineering team at a genuinely interesting point of scale and maturity. You’ll be building and evolving the data platforms that underpin decision‑making across the entire bank – from customer behaviour and product analytics to time‑critical use cases like fraud, where minutes genuinely matter.

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.

Flexible Ways of Working: We value face‑to‑face collaboration and a good work‑life balance. 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! But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one.

Diversity Statement: 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.

Senior Data Engineer employer: Zopa Bank

At Zopa, we pride ourselves on being a top employer that champions innovation and collaboration in the finance sector. Our vibrant London office fosters a supportive work culture where employees are encouraged to grow through continuous learning and development opportunities. With flexible working arrangements, including the option to work abroad for up to 120 days a year, we ensure our team members can achieve a healthy work-life balance while making a meaningful impact in redefining banking.
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Contact Detail:

Zopa Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current or former Zopa employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Show off your skills in action! If you’ve got a portfolio of projects or GitHub repos, make sure to highlight them during interviews. It’s a great way to demonstrate your experience with data pipelines and engineering.

✨Tip Number 3

Prepare for the unexpected! Zopa loves unconventional thinkers, so be ready for some curveball questions that test your problem-solving skills. Think out loud and show how you approach challenges.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Zopa team.

We think you need these skills to ace Senior Data Engineer

Python
SQL
Data Pipeline Design
Data Warehouse Solutions
Data Quality Assurance
Documentation Skills
Collaboration
Data Modelling
AWS
Terraform
Spark
DBT
Airflow
Databricks
Snowflake

Some tips for your application 🫡

Show Your Passion for Data: When writing your application, let us see your enthusiasm for data engineering! Share specific examples of projects you've worked on and how they made an impact. We love to hear about your journey and what drives you in this field.

Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored to the Senior Data Engineer role at Zopa. Highlight your experience with Python, SQL, and any relevant technologies like AWS or Spark. We want to see how your skills align with our needs!

Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Zopa!

How to prepare for a job interview at Zopa Bank

✨Know Your Data Inside Out

Before the interview, make sure you’re well-versed in the data engineering concepts relevant to Zopa. Brush up on your experience with Python and SQL, and be ready to discuss specific projects where you've designed and built data pipelines. This will show that you not only understand the technical side but also how it impacts business decisions.

✨Showcase Collaboration Skills

Zopa values teamwork, so be prepared to share examples of how you've collaborated with analysts and product teams in the past. Highlight instances where you’ve paired with others or contributed to team ceremonies. This will demonstrate that you’re a team player who thrives in a supportive environment.

✨Embrace the Unconventional

Zopa is all about thinking differently, so don’t shy away from discussing unconventional solutions you've implemented in your previous roles. Be ready to talk about how you tackled complex problems and what innovative approaches you took to ensure data quality and reliability.

✨Ask Insightful Questions

Prepare thoughtful questions that reflect your interest in Zopa’s mission and the role itself. Inquire about their data architecture, the challenges they face, or how they measure success in their data engineering team. This shows that you’re genuinely interested in contributing to their vision and are eager to learn more.

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