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- Tasks: Develop and maintain data platforms using cloud technologies and programming languages.
- 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 that values individuality and fosters career development.
- Why this job: Shape the future of data while making a real impact on people's financial lives.
- 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.
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 Somerset employer: LV=
Contact Detail:
LV= Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Somerset
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with SQL, Python, and cloud technologies like Azure. Show us how you can tackle real-world data challenges!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your soft skills too! We love candidates who can communicate complex ideas clearly and work well in a team. Share examples of how you've collaborated with others.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at LV=.
We think you need these skills to ace Senior Data Engineer in Somerset
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. Let us know what makes you unique!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Share examples that demonstrate your technical skills and your ability to collaborate with stakeholders. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to hear from you!
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 how you've used these skills in past projects, as this will show your practical experience.
✨Showcase Your Cloud Expertise
Familiarise yourself with cloud technologies, especially Azure and DataBricks. Prepare examples of how you've implemented cloud-based solutions in previous roles, as this will demonstrate your ability to meet the company's operational and strategic needs.
✨Communicate Clearly
Since exceptional communication skills are a must, practice explaining complex data concepts in simple terms. Think about how you can translate technical jargon into language that non-technical stakeholders can understand, as this will highlight your ability to collaborate effectively.
✨Be Ready to Lead
Prepare to discuss your experience leading development work streams and mentoring others. Think of specific instances where you've taken charge of a project or guided a team, as this will showcase your leadership skills and alignment with the role's responsibilities.