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 compensation, 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 90000 - 110000 £ 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.
