At a Glance
- Tasks: Lead the design and build of scalable data pipelines for an innovative AI product.
- Company: Join a global technology leader in the AI SaaS space.
- Benefits: Competitive salary, equity package, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Make a real impact by shaping the future of AI technology.
- Qualifications: Experience in data engineering, Python, and vector databases required.
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
Lead Data Engineer - Vector DB employer: MLR Associates
Join a leading technology AI brand that champions innovation and collaboration in the heart of London. With a competitive salary and equity package, our company fosters a dynamic work culture that prioritises employee growth through continuous learning and development opportunities. Experience the unique advantage of working on cutting-edge AI products while being part of a supportive team that values your contributions and encourages creative problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Vector DB
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI and data engineering. 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 related to data pipelines and vector databases. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, PostgresSQL, and any relevant AI technologies. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Engineer - Vector DB
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with Python, AI, and data pipelines to show us you’re the perfect fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of your past work with vector databases and how it aligns with our mission at StudySmarter.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with scalable data architectures and real-time data pipelines to give us a taste of what you can bring to the table.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at MLR Associates
✨Know Your Data Inside Out
Make sure you’re well-versed in data principles, especially around vector databases and AI workloads. Brush up on your knowledge of data ingestion, transformation, and storage architectures, as these will likely come up during the interview.
✨Showcase Your Technical Skills
Prepare to discuss your experience with Python and PostgresSQL in detail. Be ready to share specific examples of how you've built scalable data pipelines or optimised systems for vector search. Practical demonstrations of your skills can really set you apart.
✨Collaboration is Key
Since this role involves working closely with AI and Back End engineering teams, be prepared to talk about your collaborative experiences. Highlight any projects where you’ve successfully worked with cross-functional teams to achieve a common goal.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to data governance, security, and the specific challenges they face with their new AI product. This shows your genuine interest and helps you assess if it’s the right fit for you.
