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 bonus scheme, and work-from-anywhere flexibility.
- Other info: Access mentorship, training, and a wealth of online courses for your growth.
- Why this job: Make a real impact with your skills in a dynamic, supportive environment.
- Qualifications: Strong Python and SQL skills, with a passion for AI and automation.
The predicted salary is between 60000 - 80000 £ per year.
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 (kim.richards@monygroup.com)
We are an Equal Opportunity Employer and do not discriminate on the basis of race, colour, religion, sex, national origin, veteran or disability status.
Senior Data Engineer in London employer: Moneysupermarket Group
At MONY Group, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Data Engineer, you will benefit from a generous holiday allowance, a robust pension scheme, and access to extensive professional development resources, including mentorship and training opportunities. Our commitment to diversity and inclusion, along with flexible working arrangements, ensures that every team member can thrive while contributing to meaningful projects that drive our data platform forward.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Use platforms like StudySmarter to brush up on your knowledge and get comfortable explaining your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with Python, SQL, and cloud-based systems to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your curiosity aligns with our mission at StudySmarter. Share specific examples of your past work that relate to the job description.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them! We love seeing practical applications of your skills, especially in automation and AI.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Moneysupermarket Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and cloud services like GCP, AWS, or Azure. Brush up on your knowledge of infrastructure-as-code tools like Terraform, as this will show your technical prowess and readiness for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built or improved data platforms or CI/CD pipelines. Highlight how you’ve tackled challenges related to data quality, observability, or security. This will demonstrate your engineering judgment and ability to apply automation effectively.
✨Communicate Clearly
Since the role involves working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Be ready to share how you’ve successfully collaborated with diverse teams in the past, as this will showcase your communication skills.
✨Embrace Curiosity About AI
Express your interest in AI-assisted engineering and automation during the interview. Share any experiences you have with AI tools or workflows, and be prepared to discuss how you envision integrating these into your work. This will align with the company’s focus on innovation and improvement.
