Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and enhance a client-facing analytics platform for institutional clients.
- Company: Globally recognised private bank with a rich history and entrepreneurial culture.
- Benefits: Competitive salary starting at £90k, flexible working options, and strong career growth.
- Why this job: Join a high-calibre team and make a real impact in financial technology.
- Qualifications: Experience in building data pipelines and familiarity with cloud technologies.
- Other info: Dynamic environment with opportunities to innovate and collaborate.
The predicted salary is between 72000 - 108000 £ per year.
A globally recognised private bank with a history dating back more than four centuries is looking to hire two Senior Data Engineers to join its London-based technology team. With a strong presence across major financial centres including London, Frankfurt and New York, the firm has built a reputation for excellence while maintaining an entrepreneurial culture that encourages innovation and individual impact. Operating across investment banking, corporate banking, and wealth and asset management, the organisation works with corporations, institutional investors and private clients worldwide. Its meritocratic culture and flat hierarchy allow talented professionals to take ownership and make a real impact.
The successful candidates will join a team responsible for developing and enhancing a client‑facing analytics platform used by institutional clients. The platform currently operates on on‑premise infrastructure, and the team is now exploring the evolution towards a hybrid architecture combining on‑premise data with modern cloud technologies. This transition will help extend the bank’s product offering and improve how clients access and analyse data. The role offers the chance to contribute to the design and development of scalable data solutions within a high‑performance financial environment.
What They’re Looking For:
- Proven experience building data pipelines for transformation projects
- Strong background working with large‑scale data platforms and pipelines
- Experience working with on‑premise data environments alongside cloud technologies
- Familiarity with modern data platforms such as Snowflake is advantageous
- Experience in financial services or data‑heavy environments is beneficial
Why Join?
- Opportunity to work within a globally respected financial institution
- Play a key role in the evolution of a data platform used by institutional clients
- Join a high‑calibre engineering environment with strong ownership and collaboration
- Competitive salary starting at £90k with flexibility for the right candidate
If you’re an experienced Data Engineer interested in working at the intersection of data, technology and financial markets, this could be a fantastic opportunity to make a meaningful impact.
Senior Data Engineer employer: rmg digital
Contact Detail:
rmg digital 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 your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Prepare for those interviews! Research the company and its tech stack, especially around data pipelines and cloud technologies. We want you to be ready to showcase your skills and experience in building scalable data solutions that align with their needs.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let us see your hands-on experience with data platforms like Snowflake. Highlighting your past work can really set you apart from other candidates.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Senior Data Engineer
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 pipelines and any relevant projects you've worked on, especially those involving cloud technologies or financial services.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills align with the bank's needs. Don't forget to mention your experience with large-scale data platforms!
Showcase Your Technical Skills: In your application, be sure to showcase your technical skills clearly. Mention specific tools and technologies you've used, like Snowflake, and provide examples of how you've successfully built data solutions in the past.
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It helps us keep track of applications and ensures you get all the updates directly from us!
How to prepare for a job interview at rmg digital
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines and transformation projects. Be ready to discuss specific examples from your past work, especially those involving large-scale data platforms and hybrid architectures. This will show that you not only understand the technical aspects but can also apply them in a real-world context.
✨Familiarise Yourself with the Company
Research the bank's history, its presence in major financial centres, and its reputation for innovation. Understanding their culture and how they operate will help you align your answers with their values, particularly their focus on meritocracy and individual impact.
✨Prepare for Technical Questions
Expect to face technical questions related to on-premise data environments and cloud technologies. Brush up on modern data platforms like Snowflake, as familiarity with these tools could give you an edge. Practising coding challenges or data engineering scenarios can also be beneficial.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in previous roles, especially in data-heavy environments. Highlight your ability to design scalable solutions and how you've contributed to team projects. This will demonstrate your capability to make a meaningful impact in their high-performance engineering environment.