6-month initial contract | Strong extension potential
I’m working with a top-tier global private equity fund that is building a new Analytics Engineering capability within a strategically important area of the business.
This is a genuine build-from-scratch opportunity with the pace, autonomy and influence of a scale-up environment, but with the backing, data and reach of a major global investment organisation.
They are looking for a VP-level Analytics Engineering leader who can combine strong engineering foundations with the ability to lead delivery and operate confidently with senior business and investment stakeholders.
This is not a hands-off Head of Data or transformation role.
You will remain close to the engineering, act as a technical authority for the team, shape architecture and delivery standards, and help translate complex or ambiguous business requirements into high-quality data products.
Key responsibilities
- Lead the technical direction and delivery of a new Analytics Engineering capability.
- Act as the go-to technical voice across architecture, data modelling, engineering patterns and platform design.
- Lead a small engineering team from a technical and delivery perspective.
- Remain close enough to the code and architecture to review, challenge and improve engineering decisions.
- Work directly with senior business and investment stakeholders to understand problems and translate them into scalable technical solutions.
- Build trusted data products across complex financial, investment and insurance datasets.
- Establish strong standards around data quality, reconciliation, lineage, testing and governance.
- Design scalable integrations, data models and production engineering workflows.
- Help shape how AI and automation can improve engineering delivery and data workflows.
- Play a major role in the future structure and growth of the team.
What we’re looking for
- Strong software engineering or data engineering foundations.
- Experience leading a relatively small engineering team while remaining technically credible.
- Strong SQL, Python and data modelling skills.
- Experience building and owning production data platforms or data products end to end.
- The ability to challenge engineers on architecture, modelling, pipelines and production design.
- Strong stakeholder skills and the confidence to operate with senior non-technical audiences.
- Experience taking an unclear business problem and working out the right technical solution rather than simply executing a specification.
- Background in a strong engineering environment such as fintech, insurtech, insurance, investment management or financial services.
Particularly relevant backgrounds
Experience across any of the following would be highly attractive:
- Insurance / insurtech
- Insurance investment or asset-management data
- Fintech
- Private markets
- Fixed income / institutional credit
- Investment management
- Reinsurance / annuities
Direct insurance or private-credit experience is advantageous, but strong engineering foundations are more important than having worked in one exact domain.
Technology environment
- Python
- SQL
- Snowflake
- dbt
- APIs / integrations
- Modern orchestration tooling
- CI/CD
- Data quality, reconciliation and lineage
Heavy dbt experience is not essential at VP level. Strong engineering fundamentals and the ability to quickly understand and challenge a modern data stack are more important.
This could be particularly interesting for someone who has spent the last few years leading a team of around 4-10 engineers and is now ready to step into broader responsibility without moving away from the technology.
A background combining some consulting or client-facing experience with subsequent hands-on engineering in a fintech, insurtech or financial-services business would also be highly relevant.
They do not need a career CDO who has spent years managing very large organisations. They are looking for someone at the point in their career where this represents an exciting step up in responsibility.
£1,200-£1,500 per day, outside IR35. Initial 6-month contract with strong potential to extend and develop into a longer-term opportunity.
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