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 innovative culture.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Enjoy autonomy and tackle complex data issues in a dynamic environment.
- Why this job: Join a high-output team and make a tangible impact on data processes.
- Qualifications: Experience in Python, SQL, and AWS; problem-solving mindset is key.
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.
Data Engineer Con Spark/Scala (Remoto) in London employer: Albert Bow
Join a dynamic and innovative team at a leading alternative asset manager that values autonomy and problem-solving. With a strong focus on employee growth, you will have the opportunity to work on cutting-edge projects within a collaborative culture that encourages creativity and efficiency. Enjoy the benefits of a competitive salary, flexible working arrangements, and the chance to make a significant impact in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Con Spark/Scala (Remoto) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving data pipelines or cloud-native platforms. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to data engineering. Brush up on your Python, SQL, and AWS knowledge, and be ready to discuss how you've tackled real-world problems in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Engineer Con Spark/Scala (Remoto) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Spark, Scala, and any relevant AWS projects. 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! Share your passion for data engineering and how you’ve tackled messy business problems in the past. Let us know why you’re excited about this opportunity!
Showcase Your Projects:If you’ve worked on any cool projects involving data flow optimisation or AI capabilities, don’t hold back! Include links or descriptions that demonstrate your hands-on experience and problem-solving skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Albert Bow
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your knowledge of cloud-native platforms, AWS infrastructure, and data flow optimisation. Be ready to discuss how you've tackled inefficiencies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to solve complex business problems. Think about times when you’ve improved processes or optimised data pipelines. This will demonstrate your fit for a role that values autonomy and innovation.
✨Familiarise Yourself with AI Tools
Since the role involves AI capabilities, get comfortable discussing tools like Cursor, Claude Code, or Codex. If you’ve used them before, share specific instances where they helped you achieve better results in your projects.
✨Engage with Stakeholders
Be prepared to talk about your experience working with different stakeholders. Highlight how you’ve collaborated with operations, research, or investment teams to understand their needs and improve data processes. This shows you can bridge the gap between technical and non-technical teams.
