Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Architect and build scalable data pipelines for an exciting new AI product.
- Company: Join a leading technology AI brand with a global presence.
- Benefits: Competitive salary, equity package, and opportunities for professional growth.
- Why this job: Make a real impact in the AI space while working with cutting-edge technologies.
- Qualifications: 7+ years in data engineering, strong Python skills, and experience with data systems.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 60000 - 84000 £ per year.
Our client, a global technology leader, is currently looking for a Senior/Lead Data Engineer to work with the development 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 (PostgreSQL preferred, but MySQL or similar is acceptable)
- Experience with NoSQL databases
- Experience with vector databases used in modern AI systems
- Strong programming experience in Python
Frameworks/Infrastructure:
- Apache Spark
- Apache Airflow
- Kafka
- Elasticsearch/OpenSearch
Lead Python Data Engineer - Leading Technology AI Brand in London employer: MLR Associates
Contact Detail:
MLR Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Python Data Engineer - Leading Technology AI Brand in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or 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, data systems, and any relevant frameworks like Apache Spark or Kafka. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead Python Data Engineer - Leading Technology AI Brand in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Python Data Engineer role. Highlight your experience with data pipelines, Python programming, and any relevant technologies like Apache Spark or Kafka. 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 AI and data engineering. Share specific examples of your past work that align with our needs, and let us know why you want to join StudySmarter.
Showcase Your Projects: If you've worked on any cool projects related to data engineering or AI, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills.
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. Plus, it’s super easy to do!
How to prepare for a job interview at MLR Associates
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Apache Spark, and Kafka. Brush up on your experience with relational and NoSQL databases, as well as vector databases. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've architected and built scalable data pipelines in the past. Think of examples where you faced challenges and how you overcame them. This is your chance to demonstrate your critical thinking and technical prowess, so have a few stories ready that highlight your problem-solving abilities.
✨Collaboration is Key
Since the role involves working closely with AI and Back End engineering teams, be ready to talk about your experience collaborating with cross-functional teams. Share examples of how you’ve worked together to achieve common goals, and emphasise your communication skills. This will show that you can thrive in a team environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data governance or how they ensure data reliability across their platforms. This shows your genuine interest in the role and helps you gauge if the company aligns with your values and career goals.