Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape the future of a modern data platform and drive technical strategy.
- Company: Join a high-growth Insurtech unicorn in London, backed by top-tier investors.
- Benefits: Enjoy competitive salary, remote work options, and exciting corporate perks.
- Why this job: Be part of a fast-scaling company redefining insurance through advanced tech and data.
- Qualifications: Experience in data engineering and a passion for innovative technology is essential.
- Other info: This role offers a unique opportunity to influence the insurance industry.
The predicted salary is between 43200 - 72000 £ per year.
Job Title: Staff Data Engineer
Location: London, Hybrid
Salary: c.£140,000 + bonus + share options
Why Apply?
This is a unique opportunity to take a leading role in shaping the data strategy of a fast growing Insurtech scale-up. The role combines hands on technical work with strategic influence, allowing you to develop both systems and people. You\’ll lead a small but high impact team, work across multiple business functions, and help deliver a modern, scalable data platform that drives business decisions.
Responsibilities:
- Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning and excellence.
- Define and execute the data engineering roadmap aligned with business goals.
- Own and evolve the end-to-end data platform, including ingestion, transformation, governance, and real time processing.
- Design, build, and maintain scalable data pipelines, warehouses, and models to support product and analytics teams.
- Introduce and enforce best practices in testing, CI/CD, infrastructure as code, and observability.
- Write and review production level code, designing scalable data pipelines and modern data architectures.
- Identify opportunities for technology improvements, tooling enhancements, and architectural upgrades.
- Balance hands on technical work with leadership responsibilities, making decisions that shape both team growth and long term data strategy.
Requirements:
- Proven hands on experience in data engineering, building and operating scalable data platforms.
- Proven experience in a leadership or technical lead role, with official line management responsibility.
- Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres.
- Skilled in balancing technical excellence with business priorities in a fast-paced environment.
- Strong communication and stakeholder management skills, able to translate technical concepts into business value.
- Experience with real-time data processing, Data Lake or Data Mesh architectures is a plus.
- Curiosity about AI and its practical application to improve data workflows.
What\’s in it for me?
- Competitive salary, bonus, and company share options.
- Private medical insurance and generous holiday allowance.
- Opportunities to influence data strategy, lead a talented team, and make a tangible business impact.
- Exposure to cutting-edge data technologies and AI tools, with scope for personal and professional development.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Staff Data Engineer employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer
✨Tip Number 1
Familiarise yourself with the latest data engineering tools and technologies that are relevant to the Insurtech sector. Being well-versed in platforms like Apache Kafka, Spark, or cloud services such as AWS and Azure can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the Insurtech industry. Attend meetups, webinars, or conferences where you can connect with current employees or industry leaders. This can provide you with insider knowledge about the company and its culture, which is invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those that demonstrate your ability to drive technical strategy and innovation. Be ready to explain how your contributions led to measurable improvements in data processes or outcomes.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical interviews. Practice coding challenges and system design questions that are commonly asked for data engineering roles. This will help you feel more confident and articulate during the interview process.
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the specific skills and experiences required for the Staff Data Engineer position. Tailor your application to highlight how your background aligns with their needs.
Showcase Relevant Experience: In your CV and cover letter, emphasise your hands-on experience with data engineering, including any relevant technologies or methodologies you've worked with. Use specific examples to demonstrate your impact in previous roles.
Highlight Technical Skills: Make sure to list your technical skills prominently, especially those related to data platforms, programming languages, and tools that are relevant to the role. This could include SQL, Python, or cloud services like AWS or Azure.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the company and its mission. Mention why you are excited about the opportunity to shape the future of their data platform.
How to prepare for a job interview at Fruition Group
✨Showcase Your Technical Skills
As a Staff Data Engineer, you'll need to demonstrate your hands-on experience with data platforms. Be prepared to discuss specific technologies you've worked with, such as SQL, Python, or cloud services like AWS or Azure, and how you've applied them in real-world scenarios.
✨Understand the Insurtech Landscape
Familiarise yourself with the current trends and challenges in the Insurtech industry. Being able to discuss how data can drive innovation in insurance will show your passion for the field and your potential to contribute to the company's growth.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges or data engineering scenarios that require you to think critically and demonstrate your analytical skills. This will help you stand out as a candidate who can tackle complex issues.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the company's data strategy and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
