At a Glance
- Tasks: Build and operate a cutting-edge data platform while improving engineering workflows.
- Company: Join MONY Group, a leader in helping millions save money with innovative tech solutions.
- Benefits: Enjoy up to 27 holidays, a bonus scheme, and work-from-anywhere flexibility.
- Other info: Access mentorship, training, and a wealth of resources for your professional development.
- Why this job: Make a real impact by driving business growth through data and AI engineering.
- Qualifications: Strong software or data engineering skills, especially in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
ABOUT US
Every day, we push beyond expectations to help millions of people save money, at a time when it’s never mattered more. Through MoneySuperMarket, MoneySavingExpert, 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.
WHY JOIN THE DATA TEAM
As part of the MONY Group Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision-making. Data & AI Engineering is a cross-functional team of engineers and scientists. We integrate with the group's operational data stores, maintain shared data models, build AI-infused internal and external data products, and provide tools and services that help data teams handle data securely and ship with confidence.
ABOUT THE ROLE
This is a hands-on engineering role for someone who wants to build reliable data platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across MONY Group. AI-assisted engineering is an important part of the role, but we do not expect candidates to arrive as experts in every agent framework or tool. We are looking for strong engineering judgement, curiosity, and the ability to apply automation responsibly to real delivery and operational problems. You might come from data engineering, platform engineering, software engineering, SRE, analytics engineering, MLOps, or cloud infrastructure. What matters most is that you enjoy reducing toil, improving developer experience, and building secure, observable systems that other teams can depend on.
WHAT YOU WILL BE DOING
- Build and operate the 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.
- Deliver reliable data products
- 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.
- Improve engineering workflows with AI and automation
- 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.
- Enable the wider team
- 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.
WHAT WE LOOK FOR
Essential experience and strengths
- 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.
Useful but not essential
- Experience with GCP, AWS or Azure 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.
WHAT REWARDS ARE ON OFFER
- 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’re invested in your development. Expect mentorship, training, and opportunities to expand your skill set, including access to your own individual LinkedIn Learning license with access to over 16,000 courses. At MONY Group, we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. We’re committed to minimising systemic bias and creating a level playing field for all candidates.
Contact us for reasonable accommodations in the application process, no need to disclose your disability or condition, just specify your needs. Unsure what to ask for? We can guide you through available accommodations.
We understand that job adverts only say so much and you’re likely to have a lot of questions. If you’d like to know more before applying such as more on hybrid working, salary, our parental leave policy etc, please just let us know, and we’ll be happy to help.
You can contact the recruiter for this role, Kim at kim.richards@monygroup.com
We believe that success isn’t solely defined by ticking boxes on a skills checklist. We encourage your application, so we can discover your skills and experience that will help you succeed in this role.
Senior Data Engineer in London employer: MONY Group
At MONY Group, we pride ourselves on being a dynamic and inclusive employer that values creativity and collaboration. Our commitment to employee growth is evident through our extensive training opportunities, including access to LinkedIn Learning, and our supportive work culture fosters a sense of belonging. With competitive benefits such as a generous holiday allowance, a bonus scheme, and a flexible work-from-anywhere policy, we ensure that our team members feel valued and empowered to make a meaningful impact.
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 current employees on LinkedIn or at events. Ask them about their experiences and the company culture. This not only gives you insider info but also shows your genuine interest in the role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves data platforms, be ready to discuss your experience with Python, SQL, and cloud systems. Practice common interview questions and have examples ready to showcase your problem-solving abilities.
✨Tip Number 3
Showcase your curiosity! During interviews, express your interest in AI-assisted engineering and automation. Share any relevant projects or ideas you have that could improve workflows. This will highlight your proactive mindset and fit for the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our awesome team at MONY Group. Let’s make a difference together!
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 align with the Senior Data Engineer role. Highlight your experience with Python, SQL, and cloud-based systems to show us you’re a great fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this role and how your background makes you the perfect candidate. Don’t just repeat your CV; give us a glimpse of your personality and passion for data engineering.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them! We love seeing practical examples of your work, especially those that demonstrate your problem-solving skills and creativity.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us keep track of all the amazing talent out there!
How to prepare for a job interview at MONY Group
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Python, SQL, and Terraform. Brush up on your cloud-based systems knowledge too, as this will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled engineering challenges in the past. Think about specific instances where you improved workflows or automated processes, as this aligns perfectly with what they’re looking for in a Senior Data Engineer.
✨Communicate Clearly
Since the role involves working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between different teams and ensure everyone is on the same page.
✨Emphasise Your Curiosity
Express your interest in AI-assisted engineering and automation. Share any relevant experiences or projects where you’ve explored these areas, as it shows you’re not just technically skilled but also eager to innovate and improve.
