Data Platform Engineer

Salary: £42,500 - 70,500 per year

Requirements:

• Strong software or data engineering fundamentals, including production Python and SQL.
• Experience building, operating, or improving cloud-based systems.
• Familiarity with infrastructure-as-code, CI/CD, version control, and automated testing.
• Ability to reason about reliability, security, observability, and operational support.
• Experience working with technical and non-technical stakeholders and communicating clearly.
• Curiosity about AI-assisted engineering and automation, with an interest in applying these tools to practical delivery workflows.
• Experience with GCP or AWS services such as serverless runtimes, networking, data warehouses, streaming systems, or managed workflow platforms.
• Experience building or configuring AI agent workflows, custom agents, tool/function calling, MCP servers, local coding-agent instructions, hooks, or SDKs.
• Experience with BDD/TDD, design-for-testing, or improving testability in data and platform systems.

Responsibilities:

• Build and operate our data platform.
• Contribute to the design, delivery, and operation of platform infrastructure using infrastructure-as-code, primarily Terraform.
• Improve CI/CD pipelines, deployment practices, and platform tooling that enable data teams to self-serve safely.
• Work with security, compliance, and data protection colleagues to reduce risk and improve data handling practices.
• Build robust, scalable data solutions that support business needs such as CRM, SEO, financial reporting, and personalisation.
• Stay close to the business context and apply software engineering practices to solve specific data problems.
• Improve monitoring, alerting, data quality checks, and observability so issues are detected and understood quickly.
• Identify repeated or high-friction engineering tasks and turn them into reliable automated or AI-assisted workflows.
• Help shape team practices for coding agents, prompts, local instructions, skills, hooks, and tool integrations where they deliver real value.
• Balance speed with security, reviewability, and maintainability when introducing AI-assisted delivery patterns.
• Share practical learning through documentation, demos, pairing, and show-and-tell sessions.
• Support more junior team members through coaching, code review, and clear engineering standards.
• Keep an informed view of the fast-moving AI tooling landscape and recommend adoption where it solves real team problems.

Technologies:

• AI
• AWS
• CI/CD
• Cloud
• CRM
• GCP
• Support
• MCP
• Python
• SQL
• Security
• Serverless
• TDD
• Terraform
• Machine Learning
• MLOps

More:

We are MONY Group, home to MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships, helping more than 24 million unique monthly visitors save money and supporting UK households to save billions of pounds each year. Our Data & AI Engineering team is a cross-functional group of engineers and scientists that builds shared data models, integrates with operational data stores, and creates AI-infused internal and external data products that help data teams work securely and ship with confidence. This is a full-time role based in London or Ewloe, and we offer a collaborative, open-minded workplace where everyone plays a part. Our rewards include up to 27 holidays plus bank holidays, pension contributions up to 6%, a bonus scheme, digital doctor access, a work-from-anywhere scheme for two weeks per year, financial coaching, and mental health platform access. We also invest in your development through mentorship, training, and an individual LinkedIn Learning license, and we are committed to diversity, inclusion, and reasonable accommodations throughout the application process.

last updated 34 week of 2026