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 culture.
- 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.
Ingegnere Dati employer: Albert Bow
Join a dynamic and innovative team at a leading alternative asset manager in London, where your contributions as a Data Engineer will directly impact the efficiency of our proprietary cloud-native data platform. With a strong emphasis on employee growth, we offer a collaborative work culture that values autonomy and problem-solving, alongside competitive compensation and the opportunity to work with cutting-edge technology in a thriving financial services environment.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dati
✨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 Python, SQL, and AWS. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Think about how you would optimise data flows or tackle inefficiencies. We want you to shine when it’s your turn to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Ingegnere Dati
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and AWS, 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.
Showcase Relevant Projects:If you’ve worked on any projects that involved data pipelines or AI capabilities, make sure to include them in your application. We love seeing real-world examples of how you’ve tackled messy business problems and improved processes.
Apply Through Our Website:We encourage you to apply through our website for a smoother application 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 specifics of data engineering, especially around production pipelines and data flow optimisation. Brush up on your knowledge of AWS infrastructure and tools like Terraform, as these will likely come up in conversation.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled messy business problems in the past. Think about times when you identified inefficiencies and implemented solutions, particularly in a financial context, as this will resonate with the interviewers.
✨Familiarise Yourself with AI Tools
Since the role involves AI capabilities, it’s a good idea to get comfortable with tools like Cursor, Claude Code, or Codex. Be ready to discuss how you’ve used these or similar tools to enhance data processes in your previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company and the role. Inquire about their current data challenges or how they envision the data engineer's role evolving within the team. This demonstrates your enthusiasm and strategic thinking.
