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 and training opportunities to grow your career.
- Why this job: Make a real impact with your skills in a dynamic, tech-driven 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 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 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 Senior Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a data engineering role. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects that highlight your data engineering skills, especially with Python and SQL. We recommend sharing this on platforms like GitHub so potential employers can see your work in action.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in data engineering. Practice common interview questions and maybe even do some mock interviews with friends. We believe confidence is key, so get comfortable talking about your experiences!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your strong software or data engineering fundamentals. We want to see your experience with Python and SQL, so don’t hold back on showcasing those skills!
Tailor Your Application:Make your application stand out by tailoring it to the role. Mention your experience with cloud-based systems and infrastructure-as-code. We love seeing how you can improve CI/CD pipelines and deployment practices!
Be Clear and Concise:Communication is key! Make sure your application is clear and concise, especially when discussing your experience with technical and non-technical stakeholders. We appreciate straightforwardness and clarity.
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, we’re excited to see what you bring to the table!
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 infrastructure-as-code skills, particularly with Terraform, as this will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've improved CI/CD pipelines or enhanced data handling practices. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your engineering judgment and curiosity.
✨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 Continuous Learning
Express your enthusiasm for AI-assisted engineering and automation. Share any recent learning experiences or projects where you’ve applied new tools or techniques. This shows that you’re proactive about staying updated in a fast-moving field.
