Analytics Engineer

SENIOR ANALYTICS ENGINEER

Every day, we push beyond expectations to help millions of people save money, at a time when it’s never mattered more. Through Money Super Market , Money Saving Expert , Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors, helping UK households to save billions of pounds a year. Can you tell this is something we’re exceptionally proud of!

Creative, collaborative, ambitious – it’s hard work. But what makes it worth it? Leaving work knowing we’ve made a difference to our customers, users, and to each other.

Put our distinct brands together with our dedicated colleagues and you’ve got a workplace with lots of personality. We’re open-minded, diverse, and love our differences. Everyone plays a part, and comes together to work hard, go beyond, and make sure everyone feels they belong.

As part of the MONY Group Data Team, our goal is to drive business growth by building and maintaining data products that power analytics and personalised customer experiences. We work closely with teams across the business to ensure that data is clean, reliable, and accessible for data-driven decision-making.

In Data AI Engineering we are a cross‑functional team of engineers and scientists, responsible for data integration with the group’s operational data stores, providing a common data model which serves as a source of truth for financial reporting, analytics and CRM, AI‑infused applications for internal and external data products, and the tools and services used by other data teams to improve their secure data handling practices and development experience.

Our team has adopted coding agents and AI tooling across the board - but like most teams, we’re caught in the tension between day‑to‑day delivery and investing the time to truly unlock what AI can do for our workflows. This role exists to break that deadlock.

As a Senior Analytics Engineer, you will be the driving force behind making our analytics engineering workflows AI‑first. You’ll bring a strong analytics engineering foundation - you know dbt, Big Query, and data modelling inside out - but your primary mission is to tenaciously push the boundaries of what we can automate. Data pipeline maintenance, bug fixes, refactors, governance, testing: your goal is to systematically make these faster, cheaper, and increasingly autonomous, freeing the team to focus on the high‑value feature builds that move the business forward.

You’ll work hands‑on as an analytics engineer while simultaneously building the AI‑augmented workflows, tooling, and practices that multiply the output of the entire team. If you’re the kind of engineer who sees a repetitive task and immediately thinks about how to make an agent do it, this role is for you.

• Design, build, and iterate on AI‑augmented workflows for analytics engineering tasks, pushing well beyond basic autocomplete into agentic automation.
• Build and maintain coding agent customisations (e.g. AGENTS.md, skills, MCP servers, custom hooks) that encode our team’s domain knowledge and standards.

• Build and maintain scalable data models using Big Query SQL and dbt fusion
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver robust, production‑ready solutions.
• Develop and maintain data quality standards and contribute to data governance practices.

• Champion AI‑first practices across the data team, coaching engineers on effective use of coding agents and AI tooling.
• Contribute to and improve our CI/CD pipelines (Git Hub Actions), infrastructure‑as‑code (Terraform), and deployment practices (Cloud Run).
• Stay relentlessly up to date on the fast‑moving AI tooling landscape and advocate for adoption where it delivers genuine value.

• Strong SQL and solid understanding of data modelling (e.g. Kimball, wide/flat).
• Professional dbt experience - you’ve built and maintained production dbt projects.
• Experience with Big Query or another cloud data warehouse.
• Demonstrab…