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- Tasks: Lead a talented team to design scalable data pipelines and solve complex data challenges.
- Company: Fast-growing global payments platform with a focus on innovation.
- Benefits: Remote-first role, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on data strategy and technology in a high-growth environment.
- Qualifications: 5-8 years in data engineering, strong SQL skills, and experience with Snowflake or Azure.
- Other info: Join a dynamic team and tackle meaningful data challenges at a global scale.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a hands-on Data Engineering & Analytics Team Lead to guide a talented team of engineers and deliver mission-critical data and reporting solutions for a fast-growing, global payments platform. You’ll lead a team of 6 data engineers while remaining deeply technical—designing scalable data pipelines, shaping data strategy, and solving complex data challenges. This role is key to supporting rapid international growth and building best-in-class reconciliation and reporting capabilities.
What you’ll do:
- Lead, mentor and grow a high-performing data engineering team
- Design and build scalable ELT/ETL pipelines and data models
- Own data strategy, architecture and best practices
- Work closely with product, engineering and customer teams
- Tackle complex data problems and optimise performance at scale
- Translate business needs into clear, reliable data solutions
What They’re looking for:
- 5–8 years’ experience in data engineering, with 2+ years in a lead role
- Strong experience with Snowflake and Azure (or similar)
- Excellent SQL skills and experience with BI tools (Looker or similar)
- Proficiency in Python, C#, Java or similar
- Comfortable explaining complex data concepts to non-technical audiences
- Curious, proactive and driven by client outcomes
- Payments or financial services experience is a plus, not a must
Lead a critical team in a high-growth SaaS environment. Real influence over data strategy and technology choices. Remote-first role with occasional collaboration days in Newcastle. Work on complex, meaningful data challenges at global scale. If you’re excited by ownership, leadership, and building data systems that really matter—we’d love to hear from you.
Lead Data Engineer in Newcastle upon Tyne employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Lead Data Engineer role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving scalable ELT/ETL pipelines. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data architecture knowledge. Be ready to discuss how you've tackled complex data challenges in the past and how you can lead a team to do the same.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your experience with data engineering tools like Snowflake and Azure. We want to see your SQL prowess and any BI tools you've worked with, so don’t hold back!
Demonstrate Leadership Experience: Since this role is all about leading a team, share examples of how you've mentored or guided others in your previous roles. We love seeing how you’ve helped teams grow and succeed.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your past experiences and how they relate to the role. We appreciate a well-structured application that gets to the point!
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 this exciting opportunity!
How to prepare for a job interview at Harrington Starr
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your experience with Snowflake, Azure, and SQL. Be ready to discuss specific projects where you designed scalable ELT/ETL pipelines or tackled complex data challenges.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to mentor and grow a team. Prepare examples of how you've led teams in the past, focusing on your approach to fostering collaboration and driving performance. Highlight any successful projects that resulted from your leadership.
✨Translate Tech Speak into Business Language
You’ll often need to explain complex data concepts to non-technical audiences. Practice simplifying your explanations and using relatable analogies. This will show your ability to bridge the gap between technical and business needs, which is crucial for this role.
✨Be Curious and Proactive
Demonstrate your curiosity about the company’s data strategy and how you can contribute. Prepare thoughtful questions about their current data challenges and express your eagerness to tackle them. This shows you're not just looking for a job, but are genuinely interested in making an impact.
