At a Glance
- Tasks: Lead data engineering projects, optimise data flow, and solve real business problems with data.
- Company: Join a US$5bn+ alternative asset manager with a global presence and innovative tech culture.
- Benefits: Competitive salary, discretionary bonus, hybrid work model, and comprehensive benefits.
- Other info: Dynamic environment with opportunities to build AI capabilities and enhance data architecture.
- Why this job: Make a significant impact in a small team with high autonomy and visibility to leadership.
- Qualifications: Strong data engineering skills, experience with AWS, and ability to collaborate across teams.
The predicted salary is between 120000 - 140000 £ per year.
My client is a US$5bn+ alternative asset manager operating across seven global offices: New York, BVI, London, Switzerland, Dubai, Singapore, and Hong Kong. The firm serves institutional investors and high-net-worth clients through a range of alternative investment strategies. My client's technology strategy is built around a proprietary, cloud-native platform. The firm's technology function is structured as a lean, high-output engineering team comprising three developers led by the firm's COO. This structure means every engineer has significant ownership, direct impact on the platform, and close visibility to senior leadership and business stakeholders.
The Role
They are looking for a Data Engineer to join their small engineering team and help evolve their data platform alongside two other engineers. This is not a narrowly defined "build what you're told" role. They need someone who can identify business problems, map data architecture, and help drive solutions end-to-end. You'll work directly with operations, research, and investment teams to understand what data they need, where bottlenecks exist, why data is delayed or missing, and how to improve the flow of data across the business. This role is fundamentally data-engineering focused. They are looking for someone with strong data engineering fundamentals who is comfortable owning production systems, improving reliability and freshness, and working across team boundaries when needed. The role spans both operating existing production pipelines and building new capabilities, with priorities shifting based on business needs. You should be comfortable working in a small team with high autonomy, wearing multiple hats, and moving between technical investigation, stakeholder conversations, and hands-on delivery.
What You'll Do
- Solve business problems with data — work with ops, research, and investment teams to identify pain points and deliver practical solutions, not just tickets
- Improve the data platform end-to-end — ingestion, transformation, storage, serving, observability, and reliability
- Optimise data freshness and reliability — reduce latency, eliminate stale data, and improve alerting so failures are not silent
- Map and improve data architecture — identify inefficiencies, reduce unnecessary handoffs, and streamline how data flows from vendors to consumers
- Operate and maintain production data pipelines ingesting from financial data vendors
- Build and extend new vendor integrations, data products, and pipeline features
- Manage infrastructure on AWS using Terraform
- Build AI capabilities including RAG pipelines and OCR-based document extraction to unlock unstructured data sources
- Collaborate with the wider engineering team, including on systems that interact with our client-facing NextJS application
- Plan and prioritise work in collaboration with technical and non-technical stakeholders
Lead Data Engineer - Python/ AWS. Asset Management. £120,000 -£140,000+ Discretionary Bonus + Benefits. Hybrid 2 Days a week in Central London office. employer: CommuniTech Recruitment Group
As a leading alternative asset manager with a strong focus on technology, this company offers an exceptional work environment for a Lead Data Engineer. With a hybrid working model in the heart of Central London, employees enjoy a collaborative culture that fosters innovation and autonomy, allowing for significant ownership of projects and direct interaction with senior leadership. The firm prioritises employee growth through hands-on experience in a lean engineering team, providing opportunities to tackle complex business challenges and drive impactful solutions.
Contact Details:
CommuniTech Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Python/ AWS. Asset Management. £120,000 -£140,000+ Discretionary Bonus + Benefits. Hybrid 2 Days a week in Central London office.
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience and skills.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart. We love seeing how you’ve tackled real-world problems with data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make an impact in the data space.
We think you need these skills to ace Lead Data Engineer - Python/ AWS. Asset Management. £120,000 -£140,000+ Discretionary Bonus + Benefits. Hybrid 2 Days a week in Central London office.
Some tips for your application 🫡
Show Your Data Engineering Skills:Make sure to highlight your experience with data engineering fundamentals in your application. We want to see how you've tackled real-world problems and improved data flows in previous roles. Don't just list your skills; tell us how you've used them!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. We’re looking for someone who can identify business problems and drive solutions, so make sure to showcase relevant experiences that align with our needs. A little effort goes a long way!
Be Authentic:Let your personality shine through in your application. We value authenticity and want to know what makes you tick. Share your passion for data engineering and how you approach problem-solving. It helps us get a sense of who you are beyond the technical skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at CommuniTech Recruitment Group
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around data ingestion, transformation, and storage. Be ready to discuss how you've tackled similar challenges in the past and how you can apply those experiences to improve their data platform.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified business problems and delivered practical data solutions. They want someone who can think critically and not just follow orders, so demonstrate your ability to map out data architecture and drive end-to-end solutions.
✨Familiarise Yourself with AWS and Terraform
Since the role involves managing infrastructure on AWS using Terraform, make sure you understand these tools well. Be ready to discuss your experience with cloud-native platforms and how you've optimised data pipelines in previous roles.
✨Emphasise Team Collaboration
This position requires working closely with various teams, so highlight your experience in cross-functional collaboration. Share instances where you've successfully communicated with non-technical stakeholders to ensure everyone is aligned on data needs and project goals.
