Technical Lead β Full Stack Engineering | Private Equity
Siena Partnership is working exclusively with a leading pan-European private equity firm to appoint a permanent Technical Lead into its internal engineering team in London.
This is a senior player-coach position with genuine ownership of a business-critical internal platform. Although titled Technical Lead, the scope is broader than a conventional lead developer role, combining hands-on software engineering, architecture, technical leadership, product ownership and senior stakeholder engagement.
The successful candidate will take end-to-end ownership of an established internal platform used to manage legal entities, ownership structures, governance, compliance and operational workflows across the organisation.
The platform replaces fragmented spreadsheets and disconnected systems with a central, auditable source of truth, supporting teams across legal, compliance, tax, operations and investment/deal functions.
What you'll be doing
- Own the architecture and technical direction of a modern full-stack application.
- Remain genuinely hands-on, designing, building, reviewing and shipping production software.
- Lead and mentor a small, high-performing engineering team.
- Own the underlying relational data model and how data is reconciled across multiple internal and external sources.
- Take responsibility for engineering standards, automated testing, CI/CD, code quality and production reliability.
- Own delivery planning, prioritisation and technical roadmap.
- Work directly with senior stakeholders across legal, compliance, tax, operations and investment teams.
- Translate complex business processes and regulatory requirements into well-designed software.
- Help develop the team's use of AI-assisted engineering across the software delivery lifecycle.
Core experience
You should be a strong full-stack software engineer who has progressed into technical leadership without moving away from hands-on engineering.
Strong experience with React and TypeScript is essential, alongside good backend engineering capability. The backend technology is flexible, but experience with languages such as Python, Node.js, C#/.NET or Java would be relevant.
You should also have strong experience with SQL, relational databases and data modelling, particularly where applications depend on data quality, reconciliation, auditability and integration between multiple systems.
We are particularly interested in people who have:
- Led a small engineering or cross-functional product team while remaining hands-on.
- Owned a complex application or platform end to end.
- Worked closely with senior non-technical business stakeholders.
- Strong CI/CD, testing and modern DevOps engineering practices.
- Used AI tools to improve software engineering and delivery.
- Worked within private equity, private markets, investment management, asset management, hedge funds, fintech or another regulated environment.
Experience with master data, reference data, legal/entity data, investment data, reconciliation, enterprise integrations or replacing spreadsheet-based processes with controlled applications would be particularly valuable.
This is not a pure Engineering Manager, Enterprise Architect or frontend leadership position. The successful candidate will remain close to the code while also owning the wider platform, team and technical direction.
Location: London
Working pattern: Hybrid - approximately 3 days per week in the office
Employment: Permanent, full-time
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Technical Lead β Full Stack Engineering employer: Siena Partnership
Siena Partnership is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a VP of Analytics Engineering, you will have the opportunity to lead a talented team, shape cutting-edge data solutions, and drive impactful change within the organisation. With a strong focus on employee growth and a culture that values strategic thinking and technical excellence, Siena Partnership is committed to fostering your professional development while making a meaningful impact in the analytics space.