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 executives.
- Qualifications: Proven experience in data engineering, SQL, Python, and data architecture.
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.
- 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 innovation meets opportunity. As a Data Engineering Lead, you'll thrive in a dynamic hybrid work environment that fosters collaboration and creativity, while enjoying competitive compensation and a robust benefits package. With direct access to C-suite executives and a focus on cutting-edge data solutions, this role offers unparalleled growth potential and the chance to make a significant impact across a diverse portfolio of companies.
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 loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
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, SQL, and Python. 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 passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t shy away from showcasing your technical prowess. Include specific examples of projects where you've built or scaled data platforms. We’re keen to see how you’ve tackled challenges in the past!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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. Prepare examples of scalability trade-offs you've navigated and common pitfalls you've avoided. Being able to articulate these experiences will demonstrate your expertise and problem-solving abilities.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll be working with C-suite executives, practice explaining complex technical concepts in simple terms. Think of ways to relate your technical knowledge to business outcomes, as this will help bridge the gap between data initiatives and commercial success.
✨Show Your Adaptability
This role requires operating in fast-moving environments, so be ready to share examples of how you've thrived in ambiguity. Highlight your pragmatic, value-led mindset and how it has helped you make impactful decisions in previous roles.
