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For Companies At a Glance
- Tasks: Lead the transformation of finance data with Snowflake and improve data quality.
- Company: Join a global insurer at the forefront of data innovation.
- Benefits: Competitive salary, bonus, hybrid work, and opportunities for career advancement.
- Why this job: Make a real impact in a high-stakes finance environment while shaping a modern data platform.
- Qualifications: Strong experience in data warehousing, Snowflake, SQL, and Python; insurance background preferred.
- Other info: Exciting path to technical leadership and mentoring opportunities.
The predicted salary is between 85000 - 90000 £ per year.
A global insurer is undergoing a major data transformation, including a transition to Snowflake. We’re hiring a Senior Data Engineer to take ownership of their finance data warehouse and reporting platform, working directly with the business to solve real data challenges.
The Role
- This is a hands-on senior IC role with a clear path into technical leadership.
- You’ll sit within a finance-focused data squad, helping to:
- Improve data quality, structure and reliability across finance reporting
- Design and build Snowflake-based data warehouse solutions
- Work directly with stakeholders to define solutions, not just implement them
- Reduce incidents, improve delivery speed, and raise engineering standards
- Guide and mentor an offshore engineering team
What We’re Looking For
- Strong data warehousing experience (modelling, ETL/ELT, pipelines)
- Hands-on with Snowflake, SQL and Python
- Experience in AWS (or similar cloud)
- Background in insurance or financial services (Lloyd’s ideal)
- Confident working with business stakeholders and challenging requirements
- Someone who takes ownership and improves how things are done
Why This Role?
- Newly created position with real influence
- Move towards a Tech Lead role
- Own and shape a modern Snowflake data platform
- Work in a high-impact finance data environment
- Be part of a business investing heavily in data
Data Engineering Consultant - Insurance employer: DATAHEAD
Contact Detail:
DATAHEAD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Consultant - Insurance
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and finance sectors. Attend industry meetups or webinars, and don’t be shy about mentioning you’re on the lookout for a Senior Data Engineer role. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data warehousing projects, especially those involving Snowflake, SQL, and Python. This will give potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled real data challenges in the past, particularly in finance. Use examples that highlight your ability to work with stakeholders and improve processes.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in being part of our team!
We think you need these skills to ace Data Engineering Consultant - Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with data warehousing, Snowflake, and any relevant insurance background. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our finance data platform. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Share specific examples of how you've improved data quality or built solutions in previous roles. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at DATAHEAD
✨Know Your Data Inside Out
Make sure you brush up on your data warehousing experience, especially with Snowflake, SQL, and Python. Be ready to discuss specific projects where you've improved data quality or built ETL/ELT pipelines. This will show that you’re not just familiar with the tools but have hands-on experience that can benefit the company.
✨Understand the Insurance Landscape
Since this role requires an insurance background, do your homework on the industry. Familiarise yourself with common data challenges in finance and how they relate to insurance. Being able to speak the language of the business will help you connect with stakeholders and demonstrate your value.
✨Prepare for Stakeholder Engagement
This position involves working directly with business stakeholders, so practice articulating how you would approach defining solutions rather than just implementing them. Think of examples where you’ve successfully navigated challenging requirements and how you communicated effectively with non-technical teams.
✨Show Leadership Potential
Even if you're not in a formal leadership role yet, be prepared to discuss how you’ve guided or mentored others in your previous positions. Highlight any experiences where you took ownership of a project or improved processes, as this aligns with the company's goal of raising engineering standards.