Cloud Platform Engineer

Moneysupermarket Group; Greater London; On-site; GBP 40,000 - 60,000; Full time

Benefits offered by this job

27 holidays + bank holidays

Pension up to 6% employer contribution

Bonus scheme

Digital Doctor on demand

Work from anywhere scheme

Financial coaching

Mental health platform access

Job summary

Moneysupermarket Group in Greater London is seeking a hands-on data engineer to build and operate their data platform. This role requires strong Python and SQL skills and involves enhancing data handling, CI/CD processes, and AI workflows to support analytics and data-based solutions.

In this position, you’ll collaborate with security and compliance teams, mentor junior members, and advocate for continuous improvement in engineering practices. Benefits include a comprehensive holiday allocation, training opportunities, and a supportive work environment.

Qualifications

• Strong software or data engineering fundamentals.
• Experience with cloud-based systems.
• Familiarity with CI/CD and version control.

Responsibilities

• Build and operate the data platform using infrastructure-as-code.
• Improve CI/CD pipelines for data teams.
• Work with security to enhance data handling.

Skills

Production Python

SQL

Cloud-based systems

Infrastructure-as-code

CI/CD

Automated testing

AI-assisted engineering

Tools

GCP

AWS

Azure

Job description

About the Role

This role is a hands‑on engineering position focused on building and operating a data platform that supports analytics, CRM, financial reporting and machine learning across the MONY Group. The position requires strong engineering judgment, curiosity, and the ability to apply automation responsibly.

What You Will Be Doing

• Build and operate the data platform, including platform infrastructure, using infrastructure‑as‑code (primarily Terraform).
• Improve CI/CD pipelines, deployment practices and platform tooling to enable data teams to self‑serve safely.
• Work with security, compliance and data protection colleagues to reduce risk and improve data handling practices.
• Deliver reliable data products by building robust, scalable data solutions that support business needs such as CRM, SEO, financial reporting and personalization.
• Improve monitoring, alerting, data quality checks and observability to quickly detect and understand issues.
• Improve engineering workflows with AI and automation, turning repeated or high‑friction tasks into reliable automated or AI‑assisted workflows.
• Enable the wider team by sharing practical learning through documentation, demos, pairing and show‑and‑tell sessions.
• Support junior team members through coaching, code review and clear engineering standards.
• Maintain an informed view of the fast‑moving AI tooling landscape and recommend adoption where it solves real team problems.

What We Look For

• 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, AWS or Azure services such as serverless runtimes, networking, data warehouses, streaming systems or managed workflow platforms is useful but not essential.
• Experience building or configuring AI agent workflows, custom agents, tool/function calling, MCP servers, local coding‑agent instructions, hooks or SDKs is useful but not essential.
• Experience with BDD/TDD, design‑for‑testing, or improving testability in data and platform systems is useful but not essential.

Rewards

• Up to 27 holidays + bank holidays
• Pension up to 6% employer contribution
• Bonus scheme
• Digital Doctor on demand
• Work from anywhere scheme – 2 weeks per year
• Financial coaching
• Mental health platform access

How We’ll Invest in You

We are invested in your development. Expect mentorship, training and opportunities to expand your skill set, including access to a LinkedIn Learning license with over 16,000 courses.

We are committed to diversity and inclusion, and we provide reasonable accommodations throughout the application process. Contact us for any accommodations you may need.

Contact: Kim Richards ([e-mail])

We are an Equal Opportunity Employer and do not discriminate on the basis of race, colour, religion, sex, national origin, veteran or disability status.