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- Tasks: Lead and shape the data engineering function in a fast-growing Insurtech unicorn.
- Company: Join Fruition Group, a cutting-edge Insurtech scale-up transforming the insurance industry.
- Benefits: Enjoy hybrid work options and a dynamic team culture with growth opportunities.
- Why this job: Be at the forefront of data innovation while mentoring a talented team.
- Qualifications: Strong experience as a Senior Data Engineer with leadership aspirations and cloud expertise.
- Other info: Work in a vibrant London office just one day a week!
The predicted salary is between 43200 - 72000 £ 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. Take full ownership of the Data Engineering function , currently a talented team of 4 Set the strategy and vision for how data is ingested, transformed, and leveraged across the business Drive the evolution from reactive data workflows to a robust, scalable, productised platform You\’ll lead a growing data engineering team made up of: ~You\’ll help shape the team culture, improve engineering practices, and build for long-term scale. Is a strong senior/principal-level engineer ready to step into broader leadership and remain hands-on Enjoys mentoring and team-building , and is ready to grow into a \”Head of Function\” role over the next few years Wants to remain technically sharp while playing a strategic role in data platform evolution Has experience (or strong interest) in building real-time or event-driven architectures ️ Modern Data Stack Includes: Python , SQL AWS (S3, ECS, Terraform) Solid experience as a Senior/Lead/Principal Data Engineer, ideally with some line management or mentoring Proven ability to design and build scalable data pipelines and infrastructure Experience in modern cloud environments (AWS) Hybrid : 1 day per week on site in London ideally, flexible Employment type Full-time Job function Information Technology Get notified about new Head of Engineering jobs in London, England, United Kingdom . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #
Director of Data Engineering employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data Engineering
✨Tip Number 1
Network with professionals in the Insurtech and data engineering sectors. Attend industry meetups or conferences where you can connect with potential colleagues or leaders from Fruition Group. Building these relationships can give you insights into the company culture and expectations.
✨Tip Number 2
Showcase your hands-on experience with modern data stacks, particularly with Python, SQL, and AWS. Be prepared to discuss specific projects where you've designed scalable data pipelines or worked with event-driven architectures, as this will demonstrate your technical expertise.
✨Tip Number 3
Prepare to articulate your vision for a data engineering function. Think about how you would approach transforming reactive workflows into a robust platform, and be ready to share your strategic ideas during discussions with the hiring team.
✨Tip Number 4
Emphasise your leadership skills and experience in mentoring. Since the role involves building a team culture and improving engineering practices, be ready to provide examples of how you've successfully led teams and fostered collaboration in previous roles.
We think you need these skills to ace Director of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly any leadership roles or projects that demonstrate your ability to manage teams and drive strategy. Use keywords from the job description to align your skills with what Fruition Group is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how you can contribute to the growth of Fruition Group. Mention specific experiences that showcase your hands-on approach and leadership qualities, as well as your interest in building scalable data platforms.
Showcase Technical Skills: Highlight your technical expertise in Python, SQL, and AWS in your application. Provide examples of how you've used these technologies to build scalable data pipelines or real-time architectures, as this will resonate with the requirements of the role.
Demonstrate Leadership Experience: If you have experience mentoring or managing teams, make sure to include this in your application. Discuss how you've shaped team culture and improved engineering practices, as these are key aspects of the Head of Data Engineering role.
How to prepare for a job interview at Fruition Group
✨Showcase Your Technical Expertise
As a candidate for the Head of Data Engineering role, it's crucial to demonstrate your technical skills. Be prepared to discuss your experience with Python, SQL, and AWS in detail, including specific projects where you've built scalable data pipelines or event-driven architectures.
✨Emphasise Leadership and Mentoring
This role requires strong leadership qualities. Share examples of how you've successfully led teams, mentored junior engineers, and fostered a positive team culture. Highlight your approach to team-building and how you plan to develop your team as they grow.
✨Discuss Strategic Vision
The company is looking for someone who can set the strategy for their data engineering function. Prepare to articulate your vision for data ingestion, transformation, and leveraging data across the business. Think about how you would evolve their current workflows into a robust, scalable platform.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and decision-making process. Think through potential challenges the company might face in scaling their data platform and be ready to discuss how you would address these issues effectively.
