At a Glance
- Tasks: Design and develop data models for analytics and reporting in a hybrid work environment.
- Company: Join a major UK bank with a focus on innovation and data-driven decision making.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on developing cutting-edge data solutions.
- Why this job: Be at the forefront of building trusted data products that drive impactful decisions.
- Qualifications: Experience in analytics engineering and strong SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
London or Edinburgh (Hybrid)
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.
- 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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Senior Analytics Engineer employer: AI Connect | Data & AI Delivery Partner
AI Connect is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about advancing AI technology. With a focus on employee growth, we offer continuous learning opportunities and the flexibility of remote work from Edinburgh, ensuring a healthy work-life balance while contributing to meaningful projects that enhance customer interactions.
Contact Details:
AI Connect | Data & AI Delivery Partner Recruitment Team
