National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

LV=
Bournemouth
1 week ago
Create job alert

About The Role


We are seeking a Senior Data Engineer who can lead, manage, coach and develop a small team of engineers supporting the delivery of business demand for data and insight for Finance and Actuarial teams. Manage the stakeholder relationships, agree priorities for self and team to maximise value and outcome. Ensure timely availability and accuracy for financial data. Develop expert source system and business process knowledge and act as a SME within the Data Office for Finance and Actuarial demand.
We offer hybrid working; however your presence will be required in our Bournemouth offices.
Key Accountabilities
You will need to:
•Lead, manage, coach and support a team of engineers on prem and cloud technologies and programming languages to develop and maintain our cross business centralised data platforms to meet the operational and strategic data requirements of the business.
•Work with business stakeholders to translate data requirements into data requests for execution or solutions for build, continuously looking for opportunities.
•Plan and coordinate the prioritisation of data requests to meet business needs in the most appropriate and controlled manner.
•Contribute to the development and continuous improvement of technical data standards and provide quality assurance that data products are developed in accordance with the appropriate technical data standards.
•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.
•Responsible for manging and reviewing the work of the Engineers/Offshore delivery partner resource that has been assigned to work in your business unit/value stream. Acting as a mentor and sharing best practice.
•Ensuring all data processes and reports are accurately and appropriately documented and that all data governance and quality processes are followed and continuously improved.
Skills & Experience
•Significant experience of data extraction, manipulation and reporting using the Microsoft workstack SSMS, SSIS, SSRS and SSAS.
•Will support on prem and also migration to cloud (Fabric/ Azure technologies)
•Proven experience and knowledge of data warehousing, ETL processes, programming languages and best practice data management and administration.
•Experience on Azure-based BI/MI approaches, in particular the use of Azure, DataBricks, Azure Data Factory and Power BI.
•Can demonstrate the use of tools and processes to ensure data security, quality and accuracy.
•Proven experience of implementing best practice data quality processes.
•Understanding of Finance & Actuarial processes, including regulatory and reporting requirements in a Mutual/Insurance environment.
•Demonstrable history of exceptional communication skills with the ability to talk to a non-technical audience, the managing of expectation, discussing and making recommendations and working with end users on testing/data quality feedback.
•Experience of working in a busy environment whilst maintaining a high degree of accuracy at all times and meeting tight deadlines.
•Experience of proactively building and maintaining relationships both externally and with customers throughout the company.
•Quick to learn with the ability to prioritise activities and remain responsive to the needs of the business.
•Proven experience of taking a development lead on work streams within a data centric or technical project.
Rewards and Benefits
At LV= Life and Pensions, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes:
•30 days' holiday, with the option to buy up to 2 additional days
•Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements)
•An annual bonus scheme based on company and personal performance
•Single-cover private medical insurance (with the option for you to upgrade to family cover)
•Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover and dental insurance
•Up to 20% discount on our life products for you and your immediate family
•A group life assurance policy with 4 x your basic pay to go to your dependents (you’ll have the option to increase to 8 x cover)
•Group Income Protection (if you become a member of the Pension scheme and reach 5 years of service)
•Access to our Employee Assistance Programme (EAP) for support when you need it
•A virtual GP service
•Shared parental leave.

About Us

Here at LV= Life and Pensions we love to hear from great people, so don’t forget to connect with us on social media.
We’re proudly an equal-opportunity employer and we highly value diversity and inclusivity.
We don’t discriminate on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We’re also open to conversations about flexible working as part of your application - if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen.

Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship in order for your application to be considered.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.