At a Glance
- Tasks: Architect and build scalable data pipelines for an exciting new AI product.
- Company: Leading global technology brand in AI and SaaS solutions.
- Benefits: Competitive salary, equity package, and opportunities for professional growth.
- Other info: Ideal for those with startup experience and a passion for innovation.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience in data engineering, vector databases, and end-to-end architecture.
The predicted salary is between 70000 - 105000 £ per year.
Our client, a global technology leader, is currently looking for a Senior/Lead Data Engineer to work with the dev team to guide the provision of Software Development for an exciting new AI product.
Key Responsibilities:
- Architect and build scalable data pipelines and infrastructure
- Design and maintain data ingestion, transformation, and storage architectures for operational and AI workloads
- Develop and manage batch and Real Time data pipelines
- Build and optimize systems for vector search, retrieval, and ML data pipelines
- Ensure data reliability, security, and governance across the platform
- Collaborate with AI and Back End engineering teams to support training, inference, and product features
- Implement monitoring, observability, and data quality frameworks
Key Candidates Criteria:
- Classic data principles
- Agentic data principles - vector DB, permissions, evaluation
- End-to-end data architecture ownership
- AI active in both products and development workflow
- Startup or early-stage experience - strong plus
Lead Data Engineer - Vector DB in London employer: MLR Associates
Join a leading technology AI brand in London, where innovation meets opportunity. As a Lead Data Engineer, you'll thrive in a dynamic work culture that fosters collaboration and creativity, while enjoying competitive salaries, equity packages, and ample opportunities for professional growth. With a focus on cutting-edge AI products, this role offers the chance to make a meaningful impact in a fast-paced environment that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Vector DB in London
✨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 land you that Lead Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. We want to see your work in action, especially anything related to vector DBs or AI. It’s a great way to stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of data architecture and be ready to discuss your experience with batch and real-time data pipelines. We’re here to help you ace those technical questions!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you a better chance to get noticed. Let’s get you that dream job together!
We think you need these skills to ace Lead Data Engineer - Vector DB in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with data pipelines, vector databases, and any relevant AI projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a bit of personality!
Showcase Relevant Projects:If you've worked on projects that involve data architecture or AI, make sure to mention them. We’re keen to see real-world examples of your work, especially anything related to vector search or ML data pipelines.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Don’t miss out!
How to prepare for a job interview at MLR Associates
✨Know Your Data Inside Out
Make sure you’re well-versed in classic data principles and vector databases. Brush up on your knowledge of data ingestion, transformation, and storage architectures, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've architected scalable data pipelines or optimised systems for vector search. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Collaborate Like a Pro
Since collaboration with AI and Back End engineering teams is key, think of instances where you’ve worked cross-functionally. Highlight how you contributed to team success and supported product features.
✨Ask Insightful Questions
Prepare thoughtful questions about their current data architecture and the challenges they face. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
