At a Glance
- Tasks: Mature and optimise our Data Lake, enhancing data-driven decision-making.
- Company: Join a fast-growing fintech redefining consumer lending in the UK.
- Benefits: Competitive salary, growth opportunities, and a dynamic work environment.
- Other info: Be part of a team backed by top-tier investors and recognised for innovation.
- Why this job: Make a real impact with cutting-edge technology in a high-autonomy role.
- Qualifications: Experience in data engineering and a passion for optimising data systems.
The predicted salary is between 60000 - 80000 € per year.
About Abound
We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture – how much you spend, and what you can afford to repay – to build a deeper, more accurate understanding of each customer’s unique financial situation. And we’ve shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market‑leading credit performance – for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top‑tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest‑growing fintechs (Sifted, CNBC). Now we’re expanding into new markets and product lines – and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us.
About The Role
As a Data Engineer within the Platform team, you will play a critical role in maturing and optimizing our Data Lake. Acting as a key bridge between Platform and Data Science, you will take ownership of the infrastructure and pipelines that power data‑driven decision‑making across the business. This is an Individual Contributor (IC) role with high impact and autonomy. In your first 6–12 months, your primary focus will be to evolve the Data Lake into a scalable, high‑performance foundation for analytics and data science. You will migrate key production workloads – such as model calibration, ad‑hoc analytics, and reporting – directly into the Data Lake, while redesigning data structures to improve query performance, reduce AWS costs, and ensure high data recency. You will also establish yourself as a trusted partner to the Data Science team, enabling faster experimentation and delivery through robust, well‑designed data systems.
Technology Stack: Cloud
Data Engineer employer: Abound
At Abound, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Engineer, you'll have the opportunity to work with cutting-edge technology in a fast-growing fintech environment, where your contributions directly impact our mission to make personal finance accessible to all. With a strong focus on employee growth, we provide ample opportunities for learning and development, ensuring you can advance your career while enjoying the benefits of a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Abound. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives us a tangible way to see what you can do beyond the usual application.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding our tech stack. We love candidates who can dive deep into data lakes and AWS – so be ready to chat about it!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who want to grow with us.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills that align with our needs, especially around data infrastructure and analytics. We want to see how you can contribute to maturing our Data Lake!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background makes you a great fit for our team. Be sure to mention any experience with cloud technologies or data pipelines.
Showcase Your Projects:If you've worked on any projects related to data engineering, don't hold back! Include links or descriptions of your work that demonstrate your ability to build scalable data systems. We love seeing practical examples of your skills in action.
Apply Through Our Website:We encourage you to apply directly 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 us you’re keen to join our journey at Abound!
How to prepare for a job interview at Abound
✨Know Your Data Inside Out
Make sure you’re well-versed in the technologies and methodologies relevant to data engineering. Brush up on your knowledge of data lakes, ETL processes, and cloud platforms like AWS. Be ready to discuss how you've optimised data structures or improved query performance in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach migrating workloads or redesigning data structures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your thought process clearly.
✨Understand the Business Impact
Abound is all about using data to drive decision-making. Familiarise yourself with their mission and how data engineering contributes to their goals. Be prepared to discuss how your work can directly impact customer experience and financial outcomes.
✨Build a Connection with the Team
Since this role involves collaboration with the Data Science team, show your enthusiasm for teamwork. Ask insightful questions about their current projects and express your eagerness to partner with them. This will highlight your ability to work autonomously while still being a team player.
