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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.
Senior Data Engineer
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.
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 our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it’s right for you, our members and customers, and our business, 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.
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.
