At a Glance
- Tasks: Lead a talented data engineering team and shape the data platform.
- Company: Join Fruition Group, a fast-growing Insurtech unicorn transforming the insurance industry.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in a high-growth environment while staying hands-on with technology.
- Qualifications: Strong experience as a Senior Data Engineer with leadership skills and cloud expertise.
- Other info: Based in London, with flexible working options.
The predicted salary is between 43200 - 72000 Β£ per year.
Join to apply for the Head of Data Engineering role at Fruition Group
Join to apply for the Head of Data Engineering role at Fruition Group
Head of Data Engineering – Insurtech Unicorn
Are you a hands-on data leader ready to take real ownership of a growing function? Want to help shape the data platform for one of the UK's most exciting Insurtech scale-ups?
We're hiring for a Head of Data Engineering to join a high-growth Insurtech unicorn in London. Backed by top-tier investors and on a mission to transform the insurance space through cutting-edge tech, they're scaling fast and data is at the heart of their product and decision-making.
Why this role?
You'll be stepping into a high-impact leadership position where you'll:
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Take full ownership of the Data Engineering function , currently a talented team of 4
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Set the strategy and vision for how data is ingested, transformed, and leveraged across the business
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Drive the evolution from reactive data workflows to a robust, scalable, productised platform
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Stay 50% hands-on , contributing to the codebase, mentoring the team, and influencing architectural decisions
The Team
You'll lead a growing data engineering team made up of:
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1x Team Lead
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2x Senior Engineers
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1x Mid-level Engineer
You'll help shape the team culture, improve engineering practices, and build for long-term scale.
Ideal for someone who…
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Is a strong senior/principal-level engineer ready to step into broader leadership and remain hands-on
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Enjoys mentoring and team-building , and is ready to grow into a Head of Function role over the next few years
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Wants to remain technically sharp while playing a strategic role in data platform evolution
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Has experience (or strong interest) in building real-time or event-driven architectures
οΈ Modern Data Stack Includes:
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Python , SQL
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Snowflake , Postgres
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AWS (S3, ECS, Terraform)
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Airflow , dbt , Docker
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Apache Spark , Iceberg
What they're looking for:
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Solid experience as a Senior/Lead/Principal Data Engineer, ideally with some line management or mentoring
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Proven ability to design and build scalable data pipelines and infrastructure
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Experience in modern cloud environments (AWS)
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Strong communicator with a cooperative, people-first approach to leadership
Location & Working Style
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London-based HQ
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Hybrid : 1 day per week on site in London ideally, flexible
Seniority level
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Seniority level
Executive
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Insurance
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Head of Data Engineering (London) employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Head of Data Engineering (London)
β¨Tip Number 1
Familiarise yourself with the modern data stack mentioned in the job description. Make sure you can discuss your experience with Python, SQL, AWS, and other tools like Airflow and dbt in detail during your conversations.
β¨Tip Number 2
Highlight your leadership skills by preparing examples of how you've successfully mentored teams or led projects. This will show that you're not just technically proficient but also capable of guiding others.
β¨Tip Number 3
Research the Insurtech industry and the specific challenges it faces. Being able to speak knowledgeably about how data can transform insurance will set you apart as a candidate who understands the business context.
β¨Tip Number 4
Network with current or former employees of Fruition Group on platforms like LinkedIn. Engaging with them can provide insights into the company culture and may even lead to a referral, increasing your chances of landing an interview.
We think you need these skills to ace Head of Data Engineering (London)
Some tips for your application π«‘
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of the Head of Data Engineering position. Familiarise yourself with the technologies mentioned in the job description, such as Python, SQL, and AWS.
Tailor Your CV: Customise your CV to highlight relevant experience that aligns with the role. Emphasise your leadership skills, hands-on engineering experience, and any previous work with data pipelines or cloud environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your vision for the role. Mention specific achievements in your career that demonstrate your ability to lead a team and drive data strategy.
Showcase Your Technical Skills: In your application, provide examples of projects where you've used the modern data stack mentioned in the job description. Highlight your experience with real-time architectures and your approach to mentoring and team-building.
How to prepare for a job interview at Fruition Group
β¨Showcase Your Technical Skills
As a Head of Data Engineering, you'll need to demonstrate your technical expertise. Be prepared to discuss your experience with Python, SQL, and cloud environments like AWS. Highlight specific projects where you've built scalable data pipelines or worked with modern data stacks.
β¨Emphasise Leadership Experience
This role requires strong leadership skills. Share examples of how you've mentored teams or led projects in the past. Discuss your approach to team-building and how you foster a collaborative environment, as this is crucial for the company's culture.
β¨Prepare for Strategic Discussions
You'll be expected to set the strategy for the data engineering function. Think about how you would evolve data workflows from reactive to proactive. Be ready to discuss your vision for the data platform and how it aligns with the company's goals.
β¨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your problem-solving skills. Prepare to discuss challenges you've encountered in previous roles and how you overcame them, particularly in building real-time or event-driven architectures.