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, growth opportunities, and a chance to shape technology from the ground up.
- Other info: Enjoy autonomy and direct exposure to senior investment professionals.
- Why this job: Be at the forefront of tech and finance, making impactful decisions in a lean team.
- Qualifications: Experience in data engineering, Python, and a passion for finance and technology.
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 City of London employer: Paragon Alpha - Hedge Fund Talent Business
As a leading private investment platform in London, our client offers an exceptional work environment that fosters innovation and analytical thinking. Employees benefit from a culture of autonomy and ownership, with direct exposure to senior investment professionals, making it an ideal place for those looking to make a significant impact in the finance and technology sectors. The firm prioritises employee growth through foundational investments in technology and data capabilities, ensuring that team members are at the forefront of industry advancements.
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer | Family Office in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data engineering and analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and finance-related topics. Be ready to discuss your experience with Python, data pipelines, and investment analytics. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us build our technology and data capabilities. Your next big opportunity could be just a click away!
We think you need these skills to ace Lead Data Engineer | Family Office in City of 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. We want to see how you can bring value to our tech and data capabilities!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in quantitative development or data engineering makes you a perfect fit. We love seeing genuine enthusiasm for the work we do at StudySmarter.
Showcase Relevant Projects:If you've worked on projects that involve machine learning, automation, or financial datasets, make sure to include them in your application. We’re keen to see how you’ve applied your skills in real-world scenarios, especially those that enhance investment decision-making.
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 don’t miss out on any important updates. Plus, it shows us you’re proactive and ready to take the next step in your career with StudySmarter!
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any relevant technologies mentioned in the job description. Brush up on your experience with data pipelines, machine learning infrastructure, and analytics systems. Be ready to discuss specific projects where you've applied these skills.
✨Understand the Investment Landscape
Familiarise yourself with the firm's investment strategies and the types of assets they manage. Being able to speak knowledgeably about private equity, structured credit, and market dynamics will show that you can engage credibly with investment professionals.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles, especially those involving automation or data engineering. Highlight your ability to build systems that enhance decision-making speed and quality, as this is crucial for the role.
✨Demonstrate Your Collaborative Spirit
Since this role involves working closely with investors, be ready to discuss how you’ve successfully collaborated with cross-functional teams in the past. Emphasise your communication skills and your ability to bridge the gap between technology and finance.
