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- Tasks: Lead the design and build of scalable data pipelines for an innovative AI product.
- Company: Join a leading global technology brand 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 in AI by developing cutting-edge data solutions.
- Qualifications: 7+ years in data engineering with strong pipeline and system design skills.
The predicted salary is between 70000 - 130000 £ per year.
Leading Technology AI Brand SaaS - Platform based Technology Services London/City £70-130k salary + equity package
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
Core Experience:
- 7+ years of experience in data engineering or Back End engineering roles
- Strong experience designing and building data pipelines and distributed data systems
- Experience working with relational databases
Lead Data Engineer - Python AI Vector PostgresSQL employer: MLR Associates
Contact Detail:
MLR Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Python AI Vector PostgresSQL
✨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, especially those involving data pipelines and AI. This gives potential employers a taste of what you can do and sets 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 building scalable systems. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Lead Data Engineer - Python AI Vector PostgresSQL
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, AI workloads, and any relevant technologies like Python and PostgresSQL. 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. Don’t forget to mention any specific projects that relate to scalable data architectures or vector search systems.
Showcase Your Projects: If you've worked on any cool projects related to data engineering, make sure to include them! We love seeing real-world applications of your skills, especially if they involve AI or complex data systems. It gives us a better idea of what you can bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at MLR Associates
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PostgresSQL, and AI concepts. Brush up on your experience with data pipelines and distributed systems, as these will be key topics during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your ability to architect scalable data solutions and optimise systems for vector search.
✨Collaborate Like a Pro
Since this role involves working closely with AI and Back End teams, be ready to talk about your collaborative experiences. Share instances where you’ve successfully partnered with other teams to deliver impactful results.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI product and their data strategy. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.