Senior Data Engineer in Bournemouth

Senior Data Engineer in Bournemouth

Bournemouth Full-Time 48000 - 72000 £ / year (est.) No working from home possible
LV=

At a Glance

  • 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 right by its customers.
  • Benefits: Enjoy 30 days holiday, competitive salary, and flexible working options.
  • Other info: We value diversity and inclusivity, and offer a range of employee support programmes.
  • Why this job: Be part of a dynamic team that values innovation and personal growth in a supportive environment.
  • Qualifications: Experience with Microsoft workstack and Azure technologies is essential; strong communication skills are a must.

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 in Bournemouth employer: LV=

At LV= Life and Pensions, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. As a Senior Data Engineer in our Bournemouth office, you'll benefit from a competitive salary, generous holiday allowance, and a robust pension scheme, all while working in a hybrid environment that promotes work-life balance. With ample opportunities for professional development and a commitment to employee well-being, we are dedicated to supporting your growth and success within the company.

LV=

Contact Details:

LV= Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer in Bournemouth

Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Data Factory and Power BI. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your suitability for the role.

Tip Number 2

Prepare examples of how you've successfully led a team or project in the past, particularly in data engineering. Highlight your leadership style and how you manage stakeholder relationships, as this is crucial for the Senior Data Engineer position.

Tip Number 3

Research LV= Life and Pensions and their approach to data management within the Finance and Actuarial sectors. Understanding their business model and challenges will allow you to tailor your conversation and show that you're genuinely interested in contributing to their goals.

Tip Number 4

Network with current employees or professionals in similar roles on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.

We think you need these skills to ace Senior Data Engineer in Bournemouth

Data Extraction and Manipulation
Microsoft SQL Server (SSMS, SSIS, SSRS, SSAS)
Cloud Technologies (Azure, DataBricks, Azure Data Factory)
Data Warehousing
ETL Processes
Data Management Best Practices
Power BI

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights relevant experience in data engineering, particularly with Microsoft technologies and cloud platforms like Azure. Use specific examples that demonstrate your leadership and technical skills.

Craft a Strong Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the key accountabilities listed in the job description, especially your experience in managing teams and stakeholder relationships.

Showcase Relevant Skills:Clearly outline your expertise in data extraction, manipulation, and reporting. Mention specific tools and processes you have used to ensure data quality and security, as well as your understanding of Finance & Actuarial processes.

Prepare for Potential Questions:Anticipate questions related to your experience with data warehousing, ETL processes, and your ability to communicate complex data concepts to non-technical audiences. Be ready to provide examples of how you've successfully led projects or teams in the past.

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 coach a team. Prepare examples of how you've successfully managed teams in the past, focusing on your leadership style and how you foster collaboration and development.

Demonstrate Technical Expertise

Be ready to discuss your experience with Microsoft workstack tools like SSMS, SSIS, SSRS, and SSAS, as well as Azure technologies. Highlight specific projects where you've applied these skills, especially in data extraction and manipulation.

Understand Business Needs

Familiarise yourself with the Finance and Actuarial processes relevant to the role. Be prepared to discuss how you can translate business requirements into actionable data solutions, showcasing your ability to align technical work with business goals.

Communicate Effectively

Exceptional communication skills are crucial for this role. Practice explaining complex technical concepts in simple terms, as you'll need to engage with non-technical stakeholders. Prepare to share examples of how you've successfully managed expectations and collaborated with various teams.