At a Glance
- Tasks: Lead impactful data projects and shape data strategies across portfolio companies.
- Company: Dynamic private equity firm focused on operational improvement through data and AI.
- Benefits: Competitive salary, strong work-life balance, and clear progression opportunities.
- Other info: Collaborative culture with exposure to senior leadership and diverse industries.
- Why this job: Make a real impact by leveraging data to drive business growth and innovation.
- Qualifications: Strong experience in data engineering, advanced SQL and Python skills required.
The predicted salary is between 100000 - 120000 £ per year.
This is a unique opportunity to join a high-performing value creation team within a private equity environment, where data sits at the centre of commercial decision-making. You will play a key role in shaping how portfolio businesses leverage data, analytics, and AI to drive measurable growth, working across strategy and hands-on delivery.
The Company
They are a specialist private equity firm focused on investing in lower mid-market businesses. Their model centres on driving value through operational improvement, with a dedicated internal team focused on data, analytics, and AI initiatives across the portfolio. The environment is collaborative, commercially driven, and offers strong exposure to senior stakeholders across multiple businesses.
The Role
- You will work across a portfolio of companies, delivering impactful data projects from inception through to implementation.
- Partner with senior leadership including C-suite stakeholders to define data strategies and priorities.
- Design and build modern data platforms, including ingestion pipelines and scalable architectures.
- Deliver data collection, transformation, and analytics frameworks to support business growth.
- Identify and implement high-value analytics and AI use cases.
- Translate commercial challenges into technical solutions with clear business outcomes.
- Balance hands-on engineering work with strategic input across multiple projects.
- Operate as a trusted voice of authority across both technical and non-technical teams.
Your Skills and Experience
- Strong commercial experience in data engineering within complex or fast-paced environments.
- Advanced SQL and Python, with end-to-end ownership of data pipelines and architecture.
- Experience designing and delivering modern data platforms and ingestion frameworks.
- Strong understanding of analytics and how data drives business value.
- Ability to communicate effectively with senior stakeholders and influence decision-making.
- Experience working across both strategy and delivery, with a pragmatic approach.
- Exposure to AI or machine learning use cases is beneficial.
- Comfortable working across multiple projects and adapting to different business contexts.
What They Offer
- High-impact role with exposure to senior leadership and strategic initiatives.
- Strong work-life balance with a collaborative and supportive culture.
- Office based in Covent Garden with a hybrid model (four days in office).
- Opportunities to work across diverse industries and complex data challenges.
- Clear progression opportunities within a growing function.
How to Apply
If you are interested in this role, please submit your application for consideration.
Principal Data Engineer 198439 in City of London employer: Harnham
Join a leading private equity firm in Covent Garden, where you will be at the forefront of data-driven decision-making in a collaborative and commercially focused environment. With a strong emphasis on work-life balance and clear progression opportunities, this role offers the chance to engage with senior leadership while tackling diverse and complex data challenges that drive meaningful business growth.
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We think this is how you could land Principal Data Engineer 198439 in City of London
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We think you need these skills to ace Principal Data Engineer 198439 in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
