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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 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 offered on a fixed-term basis of 12 months and will be based out of 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. About You •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 Desirable •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 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.
