At a Glance
- Tasks: Lead the design and build of modern data platforms for a high-performing private equity firm.
- Company: Join a dynamic private equity firm at the forefront of data and AI.
- Benefits: Earn up to £120,000 plus bonuses and enjoy a comprehensive benefits package.
- Other info: Thriving environment with opportunities for growth and innovation.
- Why this job: Shape the future of data platforms and work directly with C-suite leaders.
- Qualifications: Proven experience in data engineering, SQL, and Python; strong communication skills required.
The predicted salary is between 120000 - 120000 £ per year.
This is a standout opportunity to join a high‑performing private equity firm where you will sit at the centre of data and AI, shaping how modern data platforms are built and scaled across a diverse portfolio.
THE ROLE
You will be working hands‑on across multiple companies to design, build and scale modern data platforms that underpin analytics, decision‑making and AI adoption. This role combines technical delivery, architectural design and senior stakeholder advisory. You will operate at both strategic and execution level, often with direct C‑suite exposure.
Key responsibilities include:
- Building and evolving end‑to‑end data platforms and core data architecture across portfolio companies
- Acting as the data engineering authority, advising on platform design, scalability trade‑offs and common pitfalls
- Ensuring data infrastructure is AI‑ready, enabling advanced analytics, AI applications and agentic AI use cases
- Working directly with CEOs, CFOs and leadership teams to align data initiatives with commercial outcomes
YOUR SKILLS AND EXPERIENCE
- Hands‑on data engineering, with a track record of building modern data platforms end to end
- Strong SQL and Python
- Data architecture and platform design, including scalability, reliability and maintainability considerations
- Communicating complex technical concepts clearly to senior, non‑technical stakeholders
- Operating in ambiguous, fast‑moving environments with a pragmatic, value‑led mindset
THE BENEFITS
You will receive a salary of up to £120,000 depending on experience, along with a comprehensive benefits package.
Data Engineering Lead employer: Harnham
Join a leading private equity firm in London, where you will be at the forefront of data and AI innovation. With a hybrid work model, competitive salary, and a comprehensive benefits package, this role offers an exceptional work culture that values collaboration and professional growth. You will have the unique opportunity to work closely with C-suite executives, shaping data strategies that drive impactful business outcomes across a diverse portfolio.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead
✨Tip Number 1
Network like a pro! Reach out to connections in the data engineering field, especially those who work in private equity. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data platforms and projects. This is your chance to demonstrate your hands-on experience with SQL and Python, making it easier for potential employers to see your value.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms, as you'll need to impress senior stakeholders who may not be as tech-savvy.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineering Lead role. Highlight your hands-on experience with data platforms and your skills in SQL and Python. We want to see how your background aligns 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 passionate about data engineering and how you can contribute to our team. Don’t forget to mention your experience with C-suite stakeholders, as that’s key for this role.
Showcase Your Technical Skills:In your application, be sure to showcase your technical skills clearly. We’re interested in your experience with data architecture and platform design, so include specific examples of projects where you’ve built scalable and reliable data solutions.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data engineering trends and technologies. Brush up on your SQL and Python skills, and be ready to discuss how you've built modern data platforms in the past. This will show that you’re not just a theorist but someone who can deliver results.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data architecture and platform design. Be prepared to explain scalability trade-offs and common pitfalls you've encountered. Practising these scenarios will help you articulate your thought process clearly during the interview.
✨Communicate Like a Pro
Since you'll be interacting with C-suite executives, practice simplifying complex technical concepts. Use analogies or real-world examples to make your points relatable. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Showcase Your Strategic Mindset
Highlight your experience in aligning data initiatives with commercial outcomes. Prepare examples of how your work has directly impacted business decisions or improved efficiency. This will illustrate that you understand the bigger picture and can operate at both strategic and execution levels.
