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For Companies At a Glance
- Tasks: Design and build enterprise-scale data solutions on Azure, optimising data pipelines and collaborating with teams.
- Company: Leading specialty insurance brand transforming data usage with innovative AI-driven initiatives.
- Benefits: Hybrid working, excellent benefits for financial, physical, and mental wellbeing, plus a collaborative culture.
- Why this job: Tackle meaningful data challenges and see your work directly impact the insurance industry.
- Qualifications: Strong experience in data platforms, advanced T-SQL skills, and familiarity with Azure and Databricks.
- Other info: Join a growing team with high ownership and autonomy in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
We’re partnering with a leading specialty insurance business that’s investing heavily in its data platform to transform how data is used across Finance, Actuarial and Claims — including AI-driven initiatives that are genuinely moving the needle.
This is a senior, hands-on data engineering role where you’ll sit at the heart of the organisation’s data strategy, working closely with senior stakeholders while building modern, scalable solutions on Azure and Databricks. If you enjoy solving complex data problems in a regulated, data-rich environment — this one’s for you.
The Opportunity
You’ll join a growing data team delivering a wide range of business-critical projects, from modernising legacy data warehouses to enabling advanced analytics and AI use cases across the insurance lifecycle. This role blends deep technical ownership with real business influence — ideal for an experienced Data Engineer who wants to see their work directly impact underwriting, claims and financial decision-making.
What You’ll Be Doing
- Designing and building enterprise-scale data solutions on the Microsoft Azure platform
- Developing and optimising data pipelines using ADF / SSIS, Databricks and Python
- Working with large, complex datasets across Finance, Actuarial and Claims domains
- Supporting the migration and optimisation of legacy SQL Server data warehouses into Azure
- Acting as a senior technical voice within the team — guiding standards, best practice and delivery
- Collaborating with internal teams, offshore partners and senior business stakeholders
- Delivering high-quality, well-tested and well-documented solutions in an Agile environment
What They’re Looking For
- Strong experience designing and delivering enterprise data platforms
- Advanced T-SQL skills (performance tuning, complex transformations, stored procedures)
- Hands-on experience with Azure Data Factory, Databricks and Python
- Solid understanding of data warehousing, ETL, dimensional modelling and data governance
- Comfortable working in Agile teams with CI/CD, Git and Azure DevOps
- Insurance or financial services experience strongly preferred (London Market / Lloyd’s a plus)
- Confident communicator who enjoys working directly with non-technical stakeholders
Why This Role?
- Work on genuinely meaningful insurance data problems — not BAU reporting
- Strong backing for modern cloud data and AI initiatives
- High level of ownership and autonomy
- Hybrid working and a mature, collaborative engineering culture
- Excellent benefits covering financial, physical and mental wellbeing
If you’re a senior data engineer looking to apply modern data engineering and AI techniques within a forward-thinking insurance environment — let’s talk.
Senior Data Engineer in Manchester employer: Loop Recruitment
Contact Detail:
Loop Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Manchester
✨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 works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Azure, Databricks, and Python. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your T-SQL skills and understanding data warehousing concepts. Be ready to discuss how you’ve solved complex data problems in the past, as this will show your hands-on experience.
✨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 proactive about their job search.
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with Azure, Databricks, and Python, and don’t forget to mention any relevant projects that showcase your skills in data engineering.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with the needs of the insurance industry. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of complex data problems you've solved. This is key for us as we want to see how you can contribute to our data strategy and tackle challenges head-on.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Loop Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Databricks, and Python. Brush up on your T-SQL skills, especially performance tuning and complex transformations. Being able to discuss specific projects where you've used these technologies will show your hands-on experience.
✨Understand the Business Context
Familiarise yourself with how data impacts underwriting, claims, and financial decision-making in the insurance sector. Be ready to discuss how your technical solutions can drive business outcomes, as this role blends technical expertise with real business influence.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve complex data problems or optimise data pipelines. Think of examples from your past work where you’ve tackled similar challenges, and be prepared to explain your thought process and the impact of your solutions.
✨Showcase Your Communication Skills
As a senior data engineer, you'll need to communicate effectively with non-technical stakeholders. Practice explaining technical concepts in simple terms and be ready to demonstrate how you’ve successfully collaborated with teams in an Agile environment.