Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build data pipelines while optimising databases and collaborating with teams.
- Company: Global fintech company at the forefront of data and wealth management.
- Benefits: Competitive salary, bonus, and opportunities for career growth.
- Why this job: Tackle high-impact data challenges in a dynamic and collaborative environment.
- Qualifications: 5+ years as a Data Engineer, experience with cloud platforms, and Agile teams.
- Other info: Join a product-led business with strong ownership and long-term growth potential.
The predicted salary is between 80000 - 120000 £ per year.
Salary - £100,000 - 120,000 + bonus
Location - Central London, 3 days onsite weekly
We are partnered with a global financial technology company operating at the intersection of private markets, data, and wealth management. The company builds web-based platforms used by investment and wealth management firms worldwide, supporting complex data, reporting, and regulatory requirements across multiple regions.
What you’ll be doing:
- Designing, building, and maintaining data ingestion pipelines
- Championing strong data architecture and data quality across the platform
- Managing and optimising databases across environments
- Collaborating with engineers and stakeholders to deliver new features
- Troubleshooting data issues and improving reliability and performance
- Writing clean, maintainable, well-tested Python code
What we’re looking for:
- 5+ years’ experience as a Data Engineer or similar role
- Experience using cloud platforms, ideally Azure
- Solid understanding of data modelling, quality, reconciliation, and debugging
- Comfortable working in Agile teams with modern version control
- Financial services or reporting experience is a plus
This is a great opportunity to join a global, product-led business working on complex, high-impact data challenges, with strong ownership, collaboration, and long-term career growth.
Senior Data Engineer - London - Financial Services employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - London - Financial Services
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving cloud platforms like Azure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of data architecture. Be ready to discuss how you've tackled data quality issues and optimised databases in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer - London - Financial Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data ingestion pipelines, cloud platforms like Azure, and any relevant financial services background. We want to see how your skills match what we’re looking for!
Showcase Your Projects: Include specific projects where you’ve designed or optimised data architectures. We love seeing real examples of your work, especially if they demonstrate your ability to troubleshoot and improve data reliability. Let us know what you’ve achieved!
Keep It Clean and Concise: When writing your application, keep it clean and concise. Use clear language and avoid jargon unless it’s relevant. We appreciate straightforward communication that gets to the point, so make every word count!
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 keen on joining our team at StudySmarter!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially around data ingestion pipelines and architecture. Be ready to discuss specific projects where you've designed or optimised these processes, as this will show your hands-on experience.
✨Showcase Your Cloud Knowledge
Since the role requires experience with cloud platforms, particularly Azure, be prepared to talk about your experience with it. Highlight any projects where you've leveraged cloud services for data management and how it improved performance or reliability.
✨Emphasise Collaboration Skills
This position involves working closely with engineers and stakeholders, so be ready to share examples of how you've successfully collaborated in Agile teams. Discuss how you’ve contributed to team goals and resolved conflicts to demonstrate your teamwork abilities.
✨Prepare for Technical Questions
Expect to face technical questions that test your understanding of data modelling, quality, and debugging. Practise explaining complex concepts in simple terms, as this will showcase your communication skills and ability to convey technical information effectively.