Lead Analytics Engineer

AJ Bell
Salford, United Kingdom
2 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Analytics Engineer

SF Partners London, United Kingdom
£400 – £500 pd Hybrid

Analytics Engineer

Data Idols London, United Kingdom
£95,000 – £105,000 pa

Senior Data Engineer

RSM London, United Kingdom
On-site

Analytics Engineer Power BI Developer

Velocity Recruitment Burtonwood, Cheshire, United Kingdom
£300 – £360 pd

SAS Data Engineer

Deerfoot Recruitment Solutions Telford, Shropshire, SY2 5TN, United Kingdom
£50,000 – £70,000 pa

Data Engineering - Senior Consultant

RSM London, United Kingdom
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Lead
Education
Degree
Contract Duration
6 months
Posted
30 Apr 2026 (2 weeks ago)

Benefits

26 days holiday, increasing with service + buy/sell scheme + bank holidays 7% Pension with matched contributions Discretionary bonus scheme Share schemes (including free shares and BAYE) Health Cash Plan and discounted private healthcare Free onsite gym Enhanced family leave (subject to qualifying criteria) Travel and bike loan schemes Employee Assistance Programme
Job Description

We are undertaking a strategic migration of our reporting and analytics estate from SSRS to a modern cloud data platform (Snowflake). This role will support the design and delivery of that transformation—establishing best-in-class practices while remaining hands-on in building models, pipelines, and reporting layers.

You will play a critical role in not just migrating existing assets, but improving how we model, govern, and deliver data across the organisation.

Why This Role Matters

This is a high-impact role at the centre of a major data transformation. The successful candidate will shape how data is modelled, accessed, and trusted across the organisation for years to come.

What does the job involve?

Support the Migration from Legacy BI to Modern Data Platform

  • Support the end-to-end migration of reporting assets from SSRS into Snowflake
  • Assess and rationalise existing reports (remove duplication, improve logic, simplify where possible)
  • Redesign reporting structures to align with modern data modelling principles

Define and Implement Best Practice

  • Establish scalable standards for:
    • Data modelling (e.g. dimensional modelling, layered architecture)
    • Transformation workflows (ELT patterns)
    • Testing and validation
    • Documentation and governance
  • Introduce modern development practices (e.g. version control, CI/CD where appropriate)

Hands-On Delivery

  • Build and optimise data models, transformations, and reporting datasets
  • Write high-quality, performant SQL in Snowflake
  • Develop reusable data assets for downstream reporting and analytics
  • Troubleshoot and resolve data quality or performance issues

Improve the Reporting & Analytics Layer

  • Design a clean, scalable semantic layer for reporting
  • Standardise key business metrics and definitions
  • Support transition away from legacy report-first design toward model-first design

Mentor and Uplift the Existing Team

  • Provide technical guidance and coaching to BI developers and analysts
  • Raise engineering standards across the team
  • Promote consistency and good practices without over-engineering

Stakeholder Collaboration

  • Work closely with business stakeholders to understand reporting needs
  • Translate requirements into robust, scalable data solutions
  • Challenge and refine requirements where needed to improve outcomes

Essential

  • Strong SQL expertise (advanced level)
  • Proven experience working with Snowflake (or similar cloud data warehouse)
  • Experience migrating from legacy BI/reporting tools (e.g. SSRS, Cognos, Business Objects)
  • Strong data modelling experience (dimensional modelling, star schemas, etc.)
  • Experience building transformation layers in ELT environments
  • Track record of delivering in hands-on roles (not purely architectural)

Highly Desirable

  • Experience with dbt or similar transformation frameworks
  • Familiarity with modern data stack principles
  • Experience implementing testing and data quality frameworks
  • Exposure to CI/CD in data environments
  • Experience rationalising large, complex reporting estates

About AJ Bell

AJ Bell is one of the UK’s fastest-growing investment platform businesses, providing award-winning solutions for everyone, from professional financial advisers to first-time investors.

Today, over 723,000 customers trust us to manage more than £108billion of assets. By continually striving to make investing simpler and more accessible, we’re helping more people take control of their financial futures.

We’re proud to be recognised as one of the UK’s Best 100 Companies to Work For, for six consecutive years, and a Great Place to Work in 2025 and 2026 a reflection of our supportive and collaborative culture.

What we offer

  • 26 days holiday, increasing with service + buy/sell scheme + bank holidays
  • 7% Pension with matched contributions
  • Discretionary bonus scheme
  • Share schemes (including free shares and BAYE)
  • Health Cash Plan and discounted private healthcare
  • Free onsite gym
  • Enhanced family leave (subject to qualifying criteria)
  • Travel and bike loan schemes
  • Employee Assistance Programme

Life at AJ Bell

  • Regular social events including summer and Christmas parties
  • Learning and development opportunities tailored to you
  • Casual dress code
  • Friendly, supportive team environment

Our ways of working

We offer hybrid working, with a minimum of 60% of your working time per month spent in the office. For new starters, there’s an initial period of full-time office working to help you settle in and build relationships.

Inclusion & diversity

We’re committed to creating an inclusive environment where everyone feels respected and able to be themselves at work. We welcome applications from all backgrounds and make hiring decisions based on skills, experience and potential.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data Engineering Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

New Data Engineering Employers to Watch in 2026: a UK and global shortlist of data platform companies hiring data engineers, pipeline and lakehouse specialists. Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.