At a Glance
- Tasks: Build cutting-edge technology and data systems to support investment decisions.
- Company: Dynamic London-based private investment platform with a focus on innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Join a lean team with direct access to senior decision-makers.
- Why this job: Be a pioneer in shaping technology that drives impactful investment strategies.
- Qualifications: Strong Python skills and experience in data engineering or machine learning.
The predicted salary is between 80000 - 100000 € per year.
About the Company
Our client is a London-based private investment platform managing a diversified alternatives portfolio across private equity fund interests, co-investments, NAV lending facilities, preferred equity structures, and structured credit. Operating with a lean and highly analytical investment team, the firm deploys capital across institutional-quality opportunities in both private and public markets. As the platform continues to scale, the firm is making a foundational investment in its internal technology and data capabilities.
About the Role
This hire represents the first dedicated technology appointment within the business and will play a central role in building the infrastructure, tooling, and analytical systems that support investment decision-making across the platform.
Responsibilities
- The successful candidate will be responsible for designing and building the firm's technology, data, and AI capability from the ground up, operating at the intersection of investing, quantitative analytics, and modern software engineering.
- The role spans investment infrastructure, machine learning, automation, data engineering, and analytics.
- The successful candidate will work closely with investors across both private and public markets to develop systems that enhance the speed, quality, and scalability of investment decision-making.
- Key responsibilities will include building portfolio monitoring and reporting infrastructure, automating investment and operational workflows, developing AI-enabled research tooling, and constructing proprietary data and sentiment systems used to generate differentiated market insight.
- The role also includes ownership of the firm's broader technology architecture, including cloud infrastructure, vendor management, cybersecurity resilience, and data governance.
Qualifications
The ideal candidate will come from a quantitative development, data engineering, machine learning, or research engineering background, ideally within a hedge fund, asset manager, investment bank, fintech, or alternative investment platform.
Required Skills
- Candidates should demonstrate strong Python engineering capability alongside experience building production-grade data pipelines, analytics systems, automation tooling, or machine learning infrastructure.
- Experience working with financial datasets, alternative data, NLP workflows, or investment analytics platforms is highly desirable.
- Equally important is the ability to engage credibly with investment professionals and operate fluently across both technology and finance.
- The successful candidate should be comfortable discussing investment structures, portfolio analytics, and market dynamics while also remaining highly hands-on technically.
Preferred Skills
This role is best suited to individuals who enjoy operating in lean, high-performance environments with significant ownership, autonomy, and direct exposure to senior investment decision-makers.
Lead Data Engineer | Family Office in London employer: LinkedIn
As a leading private investment platform in London, our client offers an exceptional work environment that fosters innovation and growth. Employees benefit from a collaborative culture that values analytical thinking and provides opportunities to engage directly with senior investment professionals. With a focus on building cutting-edge technology and data capabilities, this role promises meaningful contributions to the firm's success while offering significant autonomy and ownership in a dynamic, high-performance setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer | Family Office in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in firms similar to the one you're eyeing. A friendly chat can lead to insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your Python engineering chops and data capabilities.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and financial knowledge. Be ready to discuss investment structures and market dynamics while showcasing your hands-on tech skills. We want to see that you can talk the talk and walk the walk!
✨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 love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead Data Engineer | Family Office in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Data Engineer role. Highlight your Python engineering capabilities and any relevant experience in building data pipelines or analytics systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've successfully engaged with investment professionals and contributed to technology projects in the past.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Whether it’s machine learning, automation, or cloud infrastructure, make sure we see how your skills can enhance our investment decision-making processes.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape our technology landscape.
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies and tools mentioned in the job description. Brush up on your Python skills, data pipelines, and any relevant machine learning concepts. Being able to discuss your technical expertise confidently will impress the interviewers.
✨Understand the Investment Landscape
Familiarise yourself with the firm’s investment strategies and the types of assets they manage. Be prepared to discuss how your technical skills can enhance their investment decision-making processes. Showing that you understand both technology and finance will set you apart.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or design systems on the spot. Practice articulating your thought process clearly and logically. This will demonstrate your analytical skills and ability to think critically under pressure.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with investors and other stakeholders, be ready to share examples of how you’ve successfully collaborated in the past. Highlight your communication skills and ability to bridge the gap between tech and finance.
