At a Glance
- Tasks: Build and optimise a cloud-native data platform while solving real business challenges.
- Company: Established alternative asset manager with a global presence and a collaborative team.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Ideal for those who thrive on autonomy and enjoy tackling complex problems.
- Why this job: Join a high-output team and make a tangible impact on data processes.
- Qualifications: Strong Python and SQL skills, plus hands-on AWS experience.
The predicted salary is between 80000 - 120000 £ per year.
I’m working with a well-established, independently run alternative asset manager with 25+ years in the market and over $5bn AUM. They operate across London, New York, Hong Kong, Geneva, Dubai, Singapore and the BVI, supporting institutional investors, private banks, family offices and HNWIs across hedge fund and private equity strategies.
They’re now hiring a Data Engineer to join a small, high-output engineering team building and running a proprietary cloud-native data platform. You’ll work directly with stakeholders across operations, research and investment, getting under the skin of how data moves across the business, spotting inefficiencies, and fixing the things that slow people down.
- Production pipelines from financial data vendors
- Data flow optimisation across the business
- AI capability, including RAG pipelines and OCR-based document extraction
- AWS infrastructure managed with Terraform
- Strong Python and SQL
- Hands-on AWS experience
- Comfortable using AI engineering tools such as Cursor, Claude Code or Codex
Bonus points for:
- Financial services experience
You’ll suit this role if you like autonomy, enjoy solving messy business problems, and get genuinely annoyed when a process is more manual than it needs to be.
Senior Engineer, Data Engineering in London employer: Albert Bow
Join a dynamic and innovative team at a leading alternative asset manager in London, where you'll have the opportunity to work on cutting-edge data engineering projects that directly impact business efficiency. With a strong focus on employee growth, a collaborative work culture, and the chance to engage with high-profile stakeholders, this role offers a rewarding environment for those passionate about data and technology. Enjoy competitive compensation and the flexibility of a hybrid working model, making it an excellent choice for professionals seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data engineering. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Python, and SQL. This is your chance to demonstrate how you’ve tackled real-world problems and optimised data flows.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s operations. Understand their data processes and think of ways you could improve them. This shows you’re not just interested in the role but genuinely invested in their success.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes get your application noticed faster than through other channels.
We think you need these skills to ace Senior Engineer, Data Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Engineer, Data Engineering. Highlight your experience with AWS, Python, and SQL, and don’t forget to mention any financial services experience you have. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our team. Be sure to mention your problem-solving skills and your passion for optimising data flows – we love that!
Showcase Your Projects:If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s building production pipelines or using AI tools, we want to see what you’ve done. This gives us a better idea of your hands-on experience and how you tackle challenges.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Albert Bow
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially around production pipelines and data flow optimisation. Brush up on your experience with AWS and Terraform, as well as your Python and SQL skills. Being able to discuss your past projects and how you’ve tackled inefficiencies will really impress them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've solved complex business problems in the past. They’re looking for someone who enjoys tackling messy issues, so think of situations where you streamlined processes or improved data handling. Be ready to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with AI Tools
Since they value AI capabilities, it’s a good idea to get comfortable with tools like Cursor, Claude Code, or Codex. If you’ve used any AI engineering tools in your previous roles, be sure to highlight that experience. Discussing how you can leverage these tools to enhance their data platform will set you apart.
✨Understand Their Business Model
Research the company’s operations and the types of clients they serve, such as institutional investors and family offices. Understanding their market and how data plays a role in their strategies will help you tailor your responses and show that you’re genuinely interested in contributing to their success.
