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- Tasks: Shape and implement enterprise-scale data platforms for advanced analytics and reporting.
- Company: Join a leading UK life and pensions mutual insurer with a rich history.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a dynamic team in a supportive environment with excellent career progression.
- Why this job: Make a real impact by developing innovative data solutions that support our members' futures.
- Qualifications: Strong knowledge of data warehousing, ETL/ELT processes, and programming languages like SQL and Python.
The predicted salary is between 60000 - 75000 £ per year.
We have an exciting opportunity for a highly skilled Senior Data Engineer to join our Data team. As a leading UK life and pensions mutual insurer with a proud history dating back to 1843, we exist to help people live financially confident lives – protecting their income while they work and maximising it when they stop. Today, over one million members and customers trust us to look after their futures, families and finances. Joining us means becoming part of a team that puts our members, customers and advisers at the heart of everything we do. We’re committed to creating an inclusive culture where colleagues can thrive. We are proud to have built a workplace where our colleagues feel welcomed, respected, supported and valued – reflected in our recognition as one of the Financial Times UK’s Best Employers in 2025 and 2026. We celebrate individuality and believe our differences make us stronger, so bring your true self and help shape the future of LV=.
You will play a critical role in shaping and implementing enterprise-scale data platforms that support advanced analytics, reporting, and data governance. This role is offered on a permanent basis with a requirement for regular presence in our Bournemouth office.
Key Responsibilities- Utilise cloud technologies and programming languages to develop and maintain centralised data platforms that support the business’s operational and strategic needs.
- Collaborate with stakeholders to translate data requirements into actionable requests or build solutions.
- Collaborate with the project manager to coordinate the prioritisation of data requests to meet business needs in the most appropriate and controlled manner.
- Lead the development and improvement of technical data standards and ensure the development of data products are compliant.
- Act as the Data Workstream Lead for change portfolios to provide technical knowledge and design steer to ensure that the proposed solutions fit within our data strategy and design standards.
- Manage and review the work of assigned engineers and offshore partners, mentoring and sharing best practices.
- Ensure all data processes and reports are accurately and appropriately documented and that all data governance and quality processes are followed and continuously improved.
- Strong working knowledge of data warehousing, ETL/ELT processes and programming languages (SQL, Python, PySpark).
- Experience on Cloud based BI/MI methodology, such as use of Azure, DataBricks, Azure Data Factory and Fabric.
- Proven experience of taking a development lead on work streams within a data centric or technical project.
- Demonstrated ability to apply tools and processes for data security, quality, and accuracy, while implementing best-practice data management, governance, and quality standards.
- Exceptional communication skills with the ability to translate technical data to a non-technical audience.
- Ability to work accurately under pressure in fast-paced environments and prioritise tasks to stay responsive to business needs.
- Experience of proactively building and maintaining relationships both externally and internally.
- Previous experience of working in the insurance/financial services sector.
Rewards if it’s right for you, our members and customers, and our business, then we’ll do everything we can to make it happen.
Senior Data Engineer in Swindon employer: LV=
Contact Detail:
LV= Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Swindon
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding the company’s data strategy. We want to see how you can fit into our team and contribute to our mission of helping people live financially confident lives.
✨Tip Number 3
Showcase your projects! Bring examples of your previous work that highlight your experience with cloud technologies and data governance. We love seeing how you’ve tackled challenges and delivered results.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows us you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer in Swindon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data warehousing, ETL/ELT processes, and cloud technologies like Azure. We want to see how your skills align with our needs!
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 you can contribute to our mission of helping people live financially confident lives. Keep it engaging and personal!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share specific examples that demonstrate your technical skills and problem-solving abilities. We love seeing how you've tackled challenges in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at LV=
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data warehousing, ETL/ELT processes, and the programming languages mentioned in the job description, like SQL and Python. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience.
✨Showcase Your Cloud Expertise
Since the role involves cloud technologies, be prepared to talk about your experience with Azure, DataBricks, and Azure Data Factory. Think of examples where you've successfully implemented cloud-based solutions and how they benefited the business.
✨Communicate Like a Pro
Exceptional communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to translate data requirements for non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business.
✨Demonstrate Leadership and Collaboration
As a Senior Data Engineer, you'll be leading teams and collaborating with various stakeholders. Prepare examples of how you've mentored others or led projects in the past. Highlight your ability to manage relationships and prioritise tasks effectively under pressure.