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- Tasks: Lead the development of data infrastructure for cutting-edge AI products.
- Company: Join a forward-thinking company in the heart of London.
- Benefits: Competitive salary, bonus, equity, and a vibrant work environment.
- Other info: Exciting opportunity for career growth in a dynamic team.
- Why this job: Be a key player in shaping AI technology and drive impactful projects.
- Qualifications: 7+ years in data or backend engineering with Python expertise.
The predicted salary is between 120000 - 140000 £ per year.
SGI is seeking a Lead Data Engineer in London to own and build the data infrastructure for AI products. As the first senior data hire, you will define the architecture, tooling, and standards, working closely with engineering and product teams.
The role requires:
- 7+ years of experience in data or backend engineering
- Strong scalable data pipelines expertise
- Python proficiency
The position offers a competitive salary of £120,000 - £140,000, plus bonus and equity, working 5 days a week in Victoria.
Lead Data Engineer — AI Platform & Equity employer: SGI
Contact Detail:
SGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer — AI Platform & Equity
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AI products. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your Python prowess and scalable solutions to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering questions and be ready to discuss how you’d approach building data infrastructure for AI products.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Data Engineer — AI Platform & Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data and backend engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in scalable data pipelines and Python.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Lead Data Engineer role. Share specific examples of your past work that relate to building data infrastructure for AI products.
Showcase Your Technical Skills: Since this role requires strong technical abilities, make sure to include any relevant projects or achievements that demonstrate your proficiency in data architecture and tooling. We love seeing real-world applications of your skills!
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 us you’re keen on joining our team!
How to prepare for a job interview at SGI
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially around scalable data pipelines. Brush up on your Python skills and be ready to discuss specific projects where you've built or optimised data infrastructure.
✨Understand the Company’s AI Vision
Research SGI's AI products and their impact on the market. Be prepared to share how your experience aligns with their goals and how you can contribute to their AI platform. This shows genuine interest and helps you stand out.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of architecture and tooling. Practice explaining your thought process clearly and concisely, as communication is key when working with engineering and product teams.
✨Showcase Leadership Skills
As the first senior data hire, you'll need to demonstrate your ability to lead and mentor. Prepare examples of how you've guided teams in the past and how you plan to establish standards and best practices at SGI.