At a Glance
- Tasks: Build and operate a cutting-edge data platform for analytics and machine learning.
- Company: Join MONY Group, a forward-thinking company focused on innovation and collaboration.
- Benefits: Enjoy up to 27 holidays, a pension scheme, and work-from-anywhere flexibility.
- Other info: Access mentorship, training, and a diverse, inclusive workplace culture.
- Why this job: Make a real impact with AI and automation in a dynamic engineering role.
- Qualifications: Strong Python and SQL skills, with a passion for cloud systems and automation.
The predicted salary is between 60000 - 80000 £ per year.
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.
We are an Equal Opportunity Employer and do not discriminate on the basis of race, colour, religion, sex, national origin, veteran or disability status.
Cloud Platform Engineer employer: Moneysupermarket Group
At MONY Group, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Cloud Platform Engineer, you will benefit from a generous holiday allowance, a robust pension scheme, and access to continuous learning opportunities, including mentorship and a wealth of online courses. Our commitment to diversity and inclusion, along with flexible working arrangements, ensures that every team member can thrive both personally and professionally in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Platform Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Cloud Platform Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Moneysupermarket Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Moneysupermarket Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Moneysupermarket Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Moneysupermarket Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
