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.
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