At a Glance
- Tasks: Own and evolve the data platform, driving automation and AI initiatives.
- Company: Leading Private Equity firm in London with a focus on technology-driven investment.
- Benefits: Highly competitive salary, excellent benefits, and a dynamic work environment.
- Other info: Collaborative team culture with opportunities for professional growth.
- Why this job: Make a real impact on investment decisions through innovative data solutions.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills required.
The predicted salary is between 80000 - 100000 £ per year.
My client, a leading Private Equity firm, is seeking an experienced Senior Data Engineer to join their London-based investment team. This is a high-impact role sitting directly within the Research & Technology function, reporting into the Head of Research & Technology and partnering closely with investment professionals across the business. You will take ownership of the firm's data platform, helping to build and evolve the infrastructure that underpins investment decision-making. The role combines hands-on engineering, architecture, automation and AI, with significant exposure to senior stakeholders across Research, Investments, Finance and Asset Management. Working within a collaborative, fast-paced environment, you'll lead technology initiatives from concept through to production while helping shape the firm's long-term data strategy.
Responsibilities
- Own the end-to-end data platform architecture, including data ingestion, storage, modelling and consumption layers
- Design and implement scalable ETL pipelines and modern data infrastructure
- Define and enforce data governance standards, lineage tracking, access controls and data quality frameworks
- Convert existing Excel-based financial and research models into robust, maintainable and tested Python applications
- Build reusable analytical libraries covering real estate metrics and investment KPIs
- Develop and maintain CI/CD pipelines, scheduling infrastructure and monitoring dashboards to improve platform observability
- Drive automation initiatives across Research, Investments, Finance and Asset Management teams
- Design and deploy agent-based and multi-agent AI workflows to enhance research and investment processes
- Lead the delivery of new technology initiatives from requirements gathering through to production deployment
- Partner directly with non-technical stakeholders to translate business requirements into scalable technical solutions
Requirements
- 5+ years' experience as a Data Engineer or in a similar data platform engineering role
- Strong Python and SQL development skills
- Experience designing and building modern data platforms and ETL pipelines
- Strong understanding of data modelling, architecture, governance and data quality best practices
- Experience working with cloud-based data technologies and modern engineering tooling
- Experience building scalable, production-grade data solutions
- Excellent communication skills with the ability to work directly with business stakeholders
- A proactive, ownership-driven mindset with a passion for automation and continuous improvement
My client offers a highly competitive total compensation package, alongside excellent benefits and the opportunity to work within a high-performing investment team where technology plays a central role in driving investment decisions.
Senior Data Engineer - Leading PE firm - London employer: Mondrian Alpha
Mondrian Alpha is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from competitive compensation packages, including market-leading bonuses, and have ample opportunities for professional growth within a supportive environment. Joining our team means being part of a forward-thinking organisation that values your contributions and encourages your development in the financial sector.
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We think this is how you could land Senior Data Engineer - Leading PE firm - London
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We think you need these skills to ace Senior Data Engineer - Leading PE firm - 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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Craft a Tailored Cover Letter:For a full-time role at Mondrian Alpha, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mondrian Alpha. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mondrian Alpha
✨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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mondrian Alpha!
✨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.
