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- Tasks: Lead a team to enhance data infrastructure and support actuarial models.
- Company: NHBC is the UK's top provider of warranties and insurance for new homes.
- Benefits: Enjoy 27 days leave, enhanced pension, life assurance, and flexible working options.
- Why this job: Join a modern, inclusive workplace focused on personal growth and impactful data projects.
- Qualifications: Strong SQL skills, leadership experience, and a background in financial services required.
- Other info: Opportunities for training and professional memberships available.
The predicted salary is between 43200 - 72000 £ per year.
Working location: Hybrid – 1 to 2 days a month in our Milton Keynes office
Employment type: Full time, Permanent
Job summary: We’re seeking a hands-on Lead Data Engineer & Actuarial Analyst to lead the rebuilding and enhancement of our data infrastructure supporting actuarial reserving models. This role offers an exciting opportunity to manage a small team, modernize data management practices, and collaborate closely with actuaries to drive improvements across the organization. You will play a central role in shaping data-driven decision-making and contribute to NHBC’s broader data transformation initiatives.
Key responsibilities include:
- Leading a team to deliver accurate data and reporting
- Rebuilding and automating data flows using SQL, SSIS, and Power Query
- Supporting actuaries with model enhancements and data automation
- Designing processes for data extraction, reconciliation, and change control
- Managing stakeholder communication across actuarial, finance, and risk departments
- Mentoring junior team members and sharing best practices
- Driving continuous improvements and contributing to organization-wide data projects
Qualifications and skills required:
- Strong SQL and SSIS skills with experience managing large datasets
- Proficiency with Power Query, Power BI, and Excel (including VBA)
- Leadership or team management experience
- Background in financial services, preferably insurance or actuarial data
- Ability to work independently and solve complex problems
- Excellent communication skills for technical and non-technical audiences
- Bonus: Knowledge of Snowflake, R, Python, or actuarial reserving concepts
Benefits include:
- 27 days annual leave plus bank holidays
- Enhanced pension scheme (up to 10.5%)
- Life assurance
- Subsidized private medical insurance
- Employee discounts platform
- Enhanced parental leave and pay
About NHBC: NHBC is the UK’s leading provider of warranties and insurance for new homes. We are committed to raising industry standards and protecting homeowners. Our team is driven by a shared purpose to improve housebuilding quality and safety.
Why join us: We are a modern, family-friendly employer experiencing rapid growth, embracing technology and flexible working. We offer ample opportunities for personal and professional development, including training and professional memberships. We support flexible working arrangements and foster an inclusive culture where everyone can thrive.
Our commitment to diversity: We promote an inclusive environment where all employees are valued and respected. Our active employee networks support diversity and open dialogue.
If you’re interested but don’t see a suitable role currently, upload your CV to be considered for future opportunities. We keep applications on file for 18 months.
NHBC engages with preferred recruiters only. Unsolicited applications from other agencies will not be considered or paid.
Lead Data Engineer & Actuarial Analyst employer: National House Building Council
Contact Detail:
National House Building Council Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer & Actuarial Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and actuarial analysis. Understanding current technologies like SQL, SSIS, and Power Query will not only boost your confidence but also show us that you're proactive and knowledgeable about the tools we use.
✨Tip Number 2
Highlight your leadership experience in previous roles. Since this position involves managing a small team, demonstrating your ability to mentor and guide others will make you stand out as a candidate who can drive improvements and foster collaboration.
✨Tip Number 3
Prepare to discuss how you've successfully communicated complex data concepts to both technical and non-technical audiences. This skill is crucial for the role, as you'll need to manage stakeholder communication across various departments.
✨Tip Number 4
If you have experience with Snowflake, R, or Python, be ready to share specific examples of how you've used these tools in your work. Even though they're listed as a bonus, showcasing your familiarity with them could give you an edge in the selection process.
We think you need these skills to ace Lead Data Engineer & Actuarial Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, SSIS, and data management practices. Emphasise any leadership roles you've held and your ability to manage teams, as this is crucial for the Lead Data Engineer position.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and actuarial analysis. Mention specific projects where you've successfully rebuilt data infrastructures or automated data flows, showcasing your problem-solving skills.
Highlight Relevant Skills: Clearly list your technical skills such as Power Query, Power BI, and Excel (including VBA). If you have experience with Snowflake, R, or Python, make sure to include that as well, as it could set you apart from other candidates.
Showcase Communication Skills: Since the role involves managing stakeholder communication, provide examples in your application of how you've effectively communicated complex technical information to both technical and non-technical audiences.
How to prepare for a job interview at National House Building Council
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, SSIS, and Power Query in detail. Highlight specific projects where you've managed large datasets or automated data flows, as this will demonstrate your hands-on expertise.
✨Demonstrate Leadership Experience
Since the role involves managing a small team, share examples of your leadership style and how you've successfully mentored junior team members. Discuss any challenges you've faced in team management and how you overcame them.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms, as you'll need to communicate with both technical and non-technical stakeholders. Prepare to give examples of how you've tailored your communication style to different audiences.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially in relation to data extraction and reconciliation processes. Think of scenarios where you've had to troubleshoot issues or drive improvements in data management practices.
