> Markdown version of [/jobs/ext/2821869-vp-analytics-engineering](https://www.wearedevelopers.com/jobs/ext/2821869-vp-analytics-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP - Analytics Engineering - **Company:** Siena Partnership - **Location:** Greater London, UK - **Salary:** £312,000.0 - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Computing Platforms, Continuous Integration, Information Engineering, Data Warehousing, Python (Programming Language), Operational Databases, Standard Sql, Software Engineering, Systems Integration, Snowflake - **Published:** September 10, 2026 - **Apply:** https://www.collegerecruiter.com/job/2858100522-vp--analytics-engineering ## About the Role * 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., * 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. ## Description 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., * 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. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023)