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- Tasks: Architect modern data platforms for AI and analytics, ensuring reliability and scalability.
- Company: High-growth tech organisation focused on innovative AI initiatives.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and make a significant impact in the AI space.
- Qualifications: 6–10+ years in data engineering, advanced SQL, Python, and cloud data warehouse expertise.
- Other info: Mentorship opportunities and a dynamic work environment await you.
The predicted salary is between 70000 - 90000 £ per year.
A high-growth technology organization is seeking a Senior / Lead Data Engineer (AI-Focused) to architect modern data platforms that enable AI and analytics. The role involves defining scalable architecture, ensuring platform reliability, and mentoring engineers.
You should have 6–10+ years of experience in data engineering, advanced SQL, Python, and expertise in cloud data warehouses.
Join a forward-thinking team driving AI initiatives at scale.
Senior AI Data Platform Engineer in London employer: PaymentGenes
Contact Detail:
PaymentGenes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those working with AI and data platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable architecture and cloud data warehouses. 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 advanced SQL and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your technical expertise and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our forward-thinking team.
We think you need these skills to ace Senior AI Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with AI-focused projects. We want to see how your skills in SQL, Python, and cloud data warehouses align with what we're looking for.
Showcase Your Achievements: Don’t just list your responsibilities; share specific achievements that demonstrate your impact. Use metrics where possible to show how you’ve contributed to previous projects or teams.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and analytics, and explain how your experience can help us drive our initiatives forward.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at PaymentGenes
✨Know Your Tech Inside Out
Make sure you brush up on your advanced SQL and Python skills. Be ready to discuss specific projects where you've implemented these technologies, especially in cloud data warehouses. The interviewers will want to see how you can architect modern data platforms.
✨Showcase Your Mentoring Skills
Since the role involves mentoring engineers, think of examples where you've guided others or led a team. Prepare to share how you approach mentoring and what strategies you use to help others grow in their roles.
✨Understand AI and Analytics Integration
Familiarise yourself with how data platforms support AI initiatives. Be prepared to discuss how you've previously integrated AI into data solutions and the impact it had on analytics. This shows you're aligned with the company's forward-thinking approach.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and future projects. This not only shows your interest but also helps you gauge if the company culture and goals align with your career aspirations.