Senior Analytics Engineer

Senior Analytics Engineer – PE Backed Financial Technology Organisation

Predominantly remote | Occasional London attendance

We are supporting a leading PE backed financial technology and data-led organisation that is investing significantly in its modern analytics capability.

The organisation is looking for an experienced Analytics Engineer who can take genuine end-to-end ownership from understanding complex source data and resolving quality issues through to building robust data models and delivering polished reporting products for senior stakeholders.

This is a highly visible position offering significant autonomy. It would suit someone who combines strong analytics-engineering fundamentals with excellent dashboard-development and stakeholder-management skills.

Key responsibilities

• Work directly with senior business stakeholders to understand reporting and analytical requirements.
• Investigate underlying data and resolve quality, consistency and reconciliation issues.
• Build and maintain reliable production data models using dbt and Snowflake.
• Design dimensional models with clearly defined facts, dimensions, grain, relationships and business metrics.
• Develop governed semantic and reporting layers that support consistent decision-making.
• Build accurate, intuitive and visually polished dashboards and reporting products.
• Own delivery from initial requirement gathering through to the finished product.
• Use AI-assisted engineering tools such as Claude Code, Codex or GitHub Copilot to improve delivery speed and quality.
• Document models, definitions, testing and data lineage clearly.

Required experience

• Strong hands-on production experience with dbt and Snowflake.
• Advanced SQL and a strong understanding of data quality, testing and reconciliation.
• Proven experience designing dimensional models and analytical data products.
• Strong dashboard-development experience with Power BI, Tableau, Looker, Sigma or a comparable platform.
• Evidence of personally delivering analytics products from source data through to senior-stakeholder reporting.
• Confidence working directly with senior, non-technical business stakeholders.
• Experience producing dashboards that are both technically accurate and visually strong.
• Availability to begin a new assignment at short notice.
• Experience within fintech, financial services, investment management or another data-intensive regulated environment.
• Exposure to complex financial, commercial, customer or performance data.
• Experience with Sigma Computing.
• Practical use of Claude Code, Codex, GitHub Copilot or similar AI-assisted development tools.
• Experience working independently in an interim or consulting environment.

This is an opportunity to join a high-calibre, technology-led environment and deliver visible analytics products used by senior decision-makers. The initial engagement is for six months, with strong potential for extension or a longer-term opportunity.

Applicants must have the right to work in the UK and be able to attend occasional meetings in London.