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- Tasks: Lead a team of engineers to develop and maintain data platforms for Finance and Actuarial teams.
- Company: Join LV= Life and Pensions, a company dedicated to doing the right thing for customers.
- Benefits: Enjoy 30 days holiday, competitive salary, flexible benefits, and private medical insurance.
- Why this job: Be part of a dynamic team, make an impact, and grow your career in a supportive environment.
- Qualifications: Significant experience in data management, Azure technologies, and exceptional communication skills required.
- Other info: Hybrid working available; must be eligible to work in the UK without sponsorship.
The predicted salary is between 48000 - 72000 £ per year.
We have an exciting opportunity for a highly skilled Senior Data Engineer to join our Data team.
You will play a critical role in shaping and implementing enterprise-scale data platforms that support advanced analytics, reporting, and data governance.
The role is a fixed-term, 12‑month position based 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.
- Coordinate prioritisation of data requests with the project manager to meet business needs in a controlled manner.
- Lead the development and improvement of technical data standards and ensure data products are compliant.
- Act as the Data Workstream Lead for change portfolios, providing technical knowledge and design steer to align solutions with our data strategy.
- Manage and review work of engineers and offshore partners, mentoring and sharing best practices.
- Ensure documentation of all data processes and reports, and continuously improve data governance and quality processes.
About You
- Strong working knowledge of data warehousing, ETL/ELT processes and programming languages (SQL, Python, PySpark).
- Experience with cloud‑based BI/MI technologies such as Azure, Databricks, Azure Data Factory and Fabric.
- Proven experience leading work streams within data‑centric or technical projects.
- Ability to apply tools and processes for data security, quality and accuracy, implementing best‑practice data management, governance and quality standards.
- Exceptional communication skills, translating technical data to non‑technical audiences.
- Ability to work accurately under pressure in fast‑paced environments, prioritising tasks to stay responsive to business needs.
- Experience building and maintaining relationships externally and internally.
- Previous experience in the insurance/financial services sector.
Benefits
- Flexibility to buy or sell up to five days of holiday.
- Annual bonus scheme based on company and personal performance.
- Flexible benefits, including a cycle‑to‑work scheme, personal accident insurance, critical illness cover, private medical insurance and dental insurance.
- Competitive pension scheme – double match up to 14% (subject to National Minimum Wage requirements).
- Group Life Assurance of four times basic pay (option to increase to eight times).
- Group Income Protection if enrolled in the pension scheme and reaching five years of service.
- Employee Assistance Programme (EAP).
- Shared parental leave.
- Up to 20% discount on our life products for you and your immediate family.
Additional Information
This role is a Band C in the LV= Structure.
We’re proud of our inclusive culture at LV= and, as an equal‑opportunity employer, we continually work to remove unconscious bias from our recruitment process. We value colleagues for what they bring to our team regardless of any protected status or characteristics they may have.
Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Applicants must be eligible to work in the UK without our sponsorship.
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Senior Data Engineer employer: LV=
Contact Detail:
LV= Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SSMS, SSIS, SSRS, SSAS, and Azure services. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your technical expertise.
✨Tip Number 2
Prepare examples of how you've successfully led a team or project in the past, particularly in data engineering contexts. Highlight your ability to manage stakeholder relationships and prioritise tasks effectively, as these are key responsibilities for this role.
✨Tip Number 3
Brush up on your knowledge of Finance and Actuarial processes, especially within a Mutual/Insurance environment. Being able to speak confidently about these areas will set you apart from other candidates who may not have this industry-specific knowledge.
✨Tip Number 4
Showcase your communication skills by preparing to explain complex data concepts in simple terms. This is crucial for working with non-technical stakeholders, so practice articulating your thoughts clearly and concisely.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data extraction, manipulation, and reporting, particularly with Microsoft technologies like SSMS, SSIS, SSRS, and SSAS. Emphasise any leadership roles or mentoring experiences you've had, as this position requires managing a team.
Craft a Strong Cover Letter: In your cover letter, address how your skills align with the key accountabilities of the role. Discuss your experience with cloud technologies, data warehousing, and your ability to communicate complex data concepts to non-technical stakeholders.
Showcase Relevant Projects: If you have worked on specific projects that involved Azure, DataBricks, or Power BI, be sure to include these in your application. Detail your role in these projects and the outcomes achieved, demonstrating your capability to lead data-centric initiatives.
Highlight Soft Skills: Given the importance of communication and relationship-building in this role, make sure to highlight your soft skills. Provide examples of how you've successfully managed stakeholder expectations and collaborated with teams to achieve business goals.
How to prepare for a job interview at LV=
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll be expected to lead and mentor a team. Be prepared to discuss your previous leadership experiences, how you've managed teams, and the strategies you've used to coach and develop engineers.
✨Demonstrate Technical Expertise
Make sure you can talk confidently about your experience with Microsoft workstack tools like SSMS, SSIS, SSRS, and SSAS, as well as Azure technologies. Prepare examples of how you've used these tools in past projects to solve complex data challenges.
✨Understand Business Needs
The role requires translating data requirements into actionable solutions. Be ready to discuss how you've worked with stakeholders in the past to identify their needs and how you prioritised data requests to deliver value effectively.
✨Communicate Clearly
Exceptional communication skills are crucial for this position. Practice explaining technical concepts in simple terms, as you'll need to engage with non-technical audiences. Prepare to share examples of how you've successfully communicated complex data insights to various stakeholders.
