At a Glance
- Tasks: Build and evolve data pipelines that power decision-making across the bank.
- Company: Join Zopa, a pioneering bank redefining finance with a people-first approach.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous learning and development.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge technologies.
- Qualifications: Experience in Python and SQL, with a passion for data engineering.
The predicted salary is between 36000 - 60000 € per year.
Our Story
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.
The team:
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 be working collaboratively with the team to build and evolve robust data pipelines and data warehouse solutions, typically working on one or more projects at a time as well as smaller BAU tasks.
- Technical teams come to us for advice on integrating with our data platform, and we support product development by making sure high-quality analytics is always available.
- Have a voice in all our ceremonies from retrospectives, refinement sessions, architectural planning sessions through to social activities, and help the team continuously improve how we work.
- Learning and development is important and we ensure people have time and space to work towards their objectives.
About you:
- You love shipping great data products and reliable pipelines, not just writing elegant code.
- You have experience as a Data Engineer, working with Python and SQL.
- You want to take ownership of production services, and understand how important data is to a modern business.
- You understand the benefits of CI/CD, automated testing, and agile development.
- You’re curious and constantly learning, and want to continue developing in the role.
- 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 regulated environments– e.g. finance or healthcare.
- Exposure to Databricks or Snowflake platforms.
- Hands-on experience of technologies such as AWS, Terraform, Spark, DBT or Airflow.
At Zopa we value 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.
Data Engineer employer: Zopa Bank Limited
At Zopa, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration within the finance sector. Our vibrant London office fosters a supportive work culture where employees are encouraged to grow through continuous learning and development opportunities, all while enjoying a flexible work-life balance. With the unique advantage of working from abroad for up to 120 days a year, Zopa is not just redefining banking but also what it means to be a great place to work.
StudySmarter Expert Advice🤫
We think this is how you could land 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 about the company culture and maybe even a referral. We all know referrals can make a huge difference!
✨Tip Number 2
Show off your skills in action! If you’ve got a portfolio of projects or contributions to open-source, share them during interviews. It’s a great way to demonstrate your experience with Python, SQL, and data pipelines, which is exactly what we’re looking for.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of CI/CD, automated testing, and agile development. We want to see how you think through problems, so be ready to discuss your approach to building robust data solutions.
✨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 our team at Zopa. Let’s make finance better together!
We think you need these skills to ace Data Engineer
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 seeing candidates who are genuinely excited about building great data products.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Engineer role at Zopa. Highlight your experience with Python, SQL, and any relevant technologies like AWS or Databricks. This shows us that you understand what we’re looking for and that you’re a great fit!
Be Authentic:We want to get to know the real you! Don’t be afraid to show your personality in your application. Whether it’s your approach to problem-solving or how you collaborate with others, being authentic helps us see how you’d fit into our team culture.
Apply Through Our Website:For the best chance of success, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Zopa Bank Limited
✨Know Your Data Tools
Make sure you brush up on your knowledge of Python, SQL, and any other relevant tools like AWS or Databricks. Be ready to discuss how you've used these technologies in past projects, as Zopa values practical experience in building data pipelines.
✨Show Your Collaborative Spirit
Zopa emphasises teamwork and collaboration, so be prepared to share examples of how you've worked with others to solve complex problems. Highlight your experiences in agile environments and how you’ve contributed to team success.
✨Embrace Continuous Learning
Demonstrate your curiosity and commitment to learning by discussing recent technologies or methodologies you've explored. Zopa appreciates candidates who are eager to grow and adapt, especially in a rapidly evolving field like data engineering.
✨Prepare for Real-World Scenarios
Think about potential challenges you might face in the role, such as handling ambiguous situations or ensuring data quality under pressure. Be ready to discuss how you would approach these scenarios, showcasing your problem-solving skills and ability to think on your feet.
