Senior Analytics Engineer

Senior Analytics Engineer (Data Products)

London or Edinburgh (Hybrid)

£74,000 - £110,000 + Excellent Package

AI Connect are partnering with a major UK bank to help them appoint a Senior Analytics Engineer to join a newly established Data Products capability within Private Banking & Wealth Management.

This is an exciting opportunity to help build the canonical and semantic data layers that underpin Analytics, AI, reporting and self-service capabilities across the business. You'll play a key role in creating trusted, reusable data products that enable faster, more consistent decision making across the organisation.

What You'll Do

· Design and develop canonical data models that standardise core wealth entities such as Accounts, Deposits and Customers across multiple systems.

· Build semantic data models that provide consistent business definitions and metrics for dashboards, APIs and downstream data products.

· Develop trusted, governed data products that are reusable, discoverable and consumed confidently across the business.

· Work closely with business stakeholders to understand requirements and translate them into scalable data models.

· Collaborate with Data Architects, Analytics Engineers and Software Engineers to shape the firm's next-generation data platform.

· Implement data quality standards, governance controls and documentation to ensure data remains accurate, trusted and compliant.

· Contribute to the design of a scalable cloud-based data ecosystem supporting Analytics, AI and self-service reporting.

Key Skills & Experience

· Proven experience as an Analytics Engineer, BI Engineer or Data Architect within complex data environments.

· Strong experience designing Canonical Data Models across multiple business domains.

· Experience building Semantic Layers that expose trusted business metrics for reporting, dashboards and APIs.

· Excellent SQL and data modelling skills with experience working on modern cloud data platforms.

· Hands-on experience with Snowflake, dbt, Spark and AWS.

· Experience building governed data products with strong data quality, documentation and ownership.

· Excellent stakeholder management skills with the ability to simplify complex technical concepts for business users.