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- Tasks: Architect and scale data platforms for AI-driven products and advanced analytics.
- Company: High-growth international tech organisation focused on AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of AI with hands-on data engineering and strategic leadership.
- Qualifications: Experience in data engineering and a passion for AI technologies.
- Other info: Join a dynamic team committed to cutting-edge technology and impactful projects.
The predicted salary is between 36000 - 60000 £ per year.
PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Engineer (AI-Focused). This is a strategic hire for a business investing heavily in AI-enabled products and advanced analytics. If you are passionate about architecting modern data platforms that power real AI at scale — this opportunity is for you.
This is more than a data engineering role! You will define and scale the organisation’s data platform to power advanced analytics, machine learning, and AI-driven products. Combining deep technical expertise with architectural leadership, you’ll shape long-term data strategy while remaining hands-on in building robust, production-grade systems. You will be accountable for platform reliability, scalability, governance, and AI enablement across the business.
What You’ll Do
- Data Platform Architecture
Senior / Lead Data Engineer (AI-Focused) employer: PaymentGenes
Contact Detail:
PaymentGenes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior / Lead Data Engineer (AI-Focused)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to AI and advanced analytics. We want to see what you can do, so make it easy for us to be impressed!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. We love candidates who can think on their feet, so practice coding challenges and system design questions to shine during the interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to shape the future of AI-driven products.
We think you need these skills to ace Senior / Lead Data Engineer (AI-Focused)
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and data engineering. Share specific examples of projects or experiences that highlight your skills in architecting data platforms and working with advanced analytics.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to align with the job description. Highlight your relevant experience in building robust systems and your understanding of AI-driven products to catch our eye!
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at PaymentGenes
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data engineering trends, especially those related to AI and machine learning. Brush up on your knowledge of data platforms and be ready to discuss how you've architected systems in the past.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of projects where you’ve built robust, production-grade systems. Highlight your role in ensuring platform reliability and scalability, as this will demonstrate your ability to lead and execute.
✨Understand the Business Impact
Be ready to discuss how your work as a data engineer can drive business outcomes. Think about how advanced analytics and AI can transform processes and decision-making within the organisation.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s data strategy and AI initiatives. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.