At a Glance
- Tasks: Design and build resilient data pipelines and warehouse solutions for impactful projects.
- Company: Join Zopa, a diverse and innovative bank focused on collaboration and continuous learning.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Hybrid role with the option to work abroad for up to 120 days a year.
- Why this job: Make a real impact with data while collaborating in a supportive team environment.
- Qualifications: Experience in Python, SQL, and building end-to-end data pipelines.
The predicted salary is between 60000 - 75000 € per year.
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.
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 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.
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.
At Zopa we value flexible ways of working. 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.
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 in London employer: Zopa Bank Limited
At Zopa, we pride ourselves on being an exceptional employer, offering a collaborative and supportive work culture that values continuous learning and innovation. As a Senior Data Engineer, you'll have the opportunity to work in a dynamic environment in London, where flexible working arrangements and the chance to work abroad for up to 120 days a year enhance your work-life balance. We celebrate diversity and inclusion, ensuring that every employee can bring their authentic self to work while contributing to meaningful projects that empower better decision-making through data.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Zopa or in the data engineering field. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data pipelines and projects. When you get that interview, having tangible examples will help you stand out and demonstrate your expertise.
✨Tip Number 3
Be ready to collaborate! During interviews, expect to discuss how you work with teams. Share stories about how you've partnered with analysts or product teams to solve problems—this aligns perfectly with Zopa's values.
✨Tip Number 4
Don’t forget to ask questions! Show your interest in Zopa’s culture and projects. Asking thoughtful questions not only helps you gauge if it’s the right fit but also demonstrates your enthusiasm for the role.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with Python, SQL, and any relevant data engineering projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our values of collaboration and continual learning. Share specific examples of how you've tackled challenges in previous roles.
Showcase Your Projects:If you've worked on any large-scale data platforms or complex data models, make sure to mention them! We love seeing real-world applications of your skills, so include links to your projects or GitHub if possible.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Zopa Bank Limited
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your Python and SQL skills, and be ready to discuss how you've designed and built data pipelines in the past. Having specific examples of your work will show that you not only understand the technical side but also the business implications behind the data.
✨Showcase Your Collaboration Skills
Since the team values collaboration, be prepared to talk about your experiences working with cross-functional teams. Share examples of how you’ve partnered with analysts or product teams to gather requirements and improve data workflows. Highlighting your ability to communicate effectively and work as part of a team will resonate well with the interviewers.
✨Emphasise Continuous Learning
The company appreciates engineers who are committed to continual learning. Mention any recent courses, certifications, or projects that demonstrate your dedication to improving your skills. Discuss how you stay updated with evolving technologies and architectures, especially those relevant to data engineering like AWS, Terraform, or Spark.
✨Prepare for Problem-Solving Scenarios
Expect to face some problem-solving questions during the interview. Think about challenges you've encountered in previous roles and how you overcame them. Be ready to explain your thought process and the steps you took to ensure data quality and reliability in your projects. This will showcase your systematic approach and ability to handle ambiguity in a fast-paced environment.
