At a Glance
- Tasks: Build and operate a cutting-edge data platform to support analytics and machine learning.
- Company: Join MONY Group, a leader in helping millions save money with innovative tech solutions.
- Benefits: Enjoy up to 27 holidays, a generous pension scheme, and work-from-anywhere flexibility.
- Other info: Diverse and inclusive workplace with mentorship and training opportunities.
- Why this job: Make a real impact by improving data handling and engineering workflows with AI.
- Qualifications: Strong Python and SQL skills, with experience in cloud systems and automation.
The predicted salary is between 60000 - 75000 £ per year.
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.
- 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
- 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 employer: MONY Group plc
At MONY Group, we pride ourselves on being an exceptional employer that fosters a creative and collaborative work environment. Our commitment to employee growth is evident through mentorship opportunities, access to extensive training resources, and a strong focus on diversity and inclusion. With benefits like a generous holiday allowance, a work-from-anywhere scheme, and a supportive culture that values every individual's contribution, joining our Data Team means being part of a mission-driven organisation that truly makes a difference in the lives of millions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This is a great way to demonstrate your expertise in data engineering and give hiring managers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. Think about how you can highlight your experience with Python, SQL, and cloud systems. Confidence is key, so get comfortable talking about your skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at MONY Group.
We think you need these skills to ace Senior Data Engineer
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, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering and how you can contribute to our mission. Share specific examples of how you've improved workflows or built reliable systems in the past.
Show Your Curiosity:We love candidates who are curious about AI and automation! Mention any projects or experiences where you’ve explored these areas, as it shows you’re keen to innovate and improve processes.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture.
How to prepare for a job interview at MONY Group plc
✨Know Your Data Engineering Fundamentals
Brush up on your software and data engineering fundamentals, especially in Python and SQL. Be ready to discuss how you've applied these skills in real-world scenarios, as this will show your practical understanding of the role.
✨Familiarise Yourself with Infrastructure-as-Code
Since the role involves using Terraform for platform infrastructure, make sure you understand the basics of infrastructure-as-code. Prepare to talk about any experience you have with CI/CD pipelines and automated testing, as these are crucial for improving deployment practices.
✨Show Your Curiosity About AI and Automation
The company values curiosity about AI-assisted engineering. Think of examples where you've used automation to solve problems or improve workflows. This will demonstrate your proactive approach and willingness to innovate.
✨Communicate Clearly with Stakeholders
Prepare to discuss how you've worked with both technical and non-technical stakeholders in the past. Clear communication is key, so think of specific instances where you successfully conveyed complex ideas to diverse audiences.
