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- Tasks: Build scalable data pipelines for an innovative AI product.
- Company: Leading technology AI brand in Greater London.
- Benefits: Competitive salary of £70-100k plus equity package.
- Why this job: Join a groundbreaking project and collaborate with top engineering teams.
- Qualifications: 7+ years in data engineering, strong Python skills, and database knowledge.
- Other info: Exciting opportunity for career growth in a dynamic tech environment.
The predicted salary is between 70000 - 100000 £ per year.
A leading technology AI brand in Greater London is seeking a Senior/Lead Data Engineer to build scalable data pipelines for a groundbreaking AI product. The ideal candidate will have over 7 years of experience in data engineering, strong expertise in Python, and a solid understanding of both relational and NoSQL databases. This role offers a competitive salary of £70-100k plus an equity package, with collaboration alongside AI and Back End engineering teams.
Senior Python Data Engineer - AI Platform (Equity, London) employer: MLR Associates
Contact Detail:
MLR Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Data Engineer - AI Platform (Equity, London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and AI space. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python and scalable data pipelines. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data pipelines, as this will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for 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 Senior Python Data Engineer - AI Platform (Equity, London)
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your expertise in Python throughout your application. We want to see how you've used it in real-world projects, especially in building scalable data pipelines.
Talk About Your Experience: With over 7 years of experience being the sweet spot, don’t hold back! Share specific examples of your work with both relational and NoSQL databases. We love seeing how you’ve tackled challenges in your previous roles.
Tailor Your Application: Take a moment to customise your application for this role. Mention how your skills align with our groundbreaking AI product and how you can contribute to our collaborative environment with AI and Back End teams.
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 this exciting opportunity!
How to prepare for a job interview at MLR Associates
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including specific projects where you've built scalable data pipelines. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand Databases Like a Pro
Since the role requires expertise in both relational and NoSQL databases, take some time to review the differences and use cases for each. Be prepared to discuss how you've implemented these technologies in past projects and any challenges you faced while working with them.
✨Showcase Your Collaboration Skills
This position involves working closely with AI and Back End engineering teams, so be ready to share examples of how you've successfully collaborated with cross-functional teams in the past. Highlight your communication skills and how you ensure everyone is on the same page during projects.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company's AI product and the team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Ask about their tech stack, future projects, or how they measure success in this role.