At a Glance
- Tasks: Lead a team to build a modern, scalable data platform for analytics and AI.
- Company: Join a high-growth Series C fintech that's shaping the future of finance.
- Benefits: Competitive salary, bonuses, equity, and flexible hybrid working options.
- Other info: Collaborative environment with opportunities to influence technical strategy.
- Why this job: Make a real impact in one of the UK's fastest-growing fintech companies.
- Qualifications: Experience in leading Data Engineering teams and expertise in cloud platforms.
The predicted salary is between 80000 - 100000 £ per year.
I'm partnered with a high-growth Series C fintech that is looking to hire a Head of Data Engineering to lead and scale its data platform as the business continues its rapid growth.
Responsibilities
- You’ll lead a team of data engineers, define the technical roadmap, and work closely with engineering, product and data leadership to build a modern, scalable data platform that supports both analytics and AI initiatives.
Qualifications
- Previous experience leading and growing Data Engineering teams
- Strong hands‑on background with modern cloud data platforms (AWS/GCP/Azure)
- Expertise across Python, SQL and data orchestration tools such as Airflow
- Experience building scalable data pipelines and data platforms in a fast‑paced fintech or technology environment
- A collaborative leadership style with the ability to influence technical strategy
Benefits
- They offer a highly competitive salary, bonus, equity, flexible hybrid working, and the opportunity to shape the data function at one of the UK's fastest-growing fintech businesses.
Head of Data Engineering employer: Kennedy Pearce Consulting
Join a dynamic and innovative fintech company that is at the forefront of the financial technology revolution. As the Head of Data Engineering, you will not only lead a talented team but also have the unique opportunity to shape the data strategy in a collaborative environment that values growth and flexibility. With competitive salaries, equity options, and a hybrid working model, this role offers a rewarding career path in one of the UK's fastest-growing sectors.
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We think this is how you could land Head of Data Engineering
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We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Kennedy Pearce Consulting, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kennedy Pearce Consulting. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
