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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 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. We want you to shine when it comes to demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
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 past 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 on sharing your journey. We love hearing about your challenges and successes in data engineering, so give us the juicy details!
Database Knowledge is Key: Since we’re looking for someone with a solid understanding of both relational and NoSQL databases, make sure to mention your experience with these. We want to know how you’ve leveraged them in your work.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves!
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. They’ll likely want to see how you approach problem-solving using Python.
✨Showcase Your Database Knowledge
Since the role requires a solid understanding of both relational and NoSQL databases, prepare to talk about your experience with these technologies. Have examples ready that demonstrate how you've used them in past projects, especially in relation to data engineering.
✨Collaboration is Key
This position involves working closely with AI and Back End engineering teams. Be prepared to discuss how you've successfully collaborated with cross-functional teams in the past. Highlight any specific instances where teamwork led to successful project outcomes.
✨Prepare Questions About the AI Product
Show your interest in the company’s groundbreaking AI product by preparing thoughtful questions. Ask about the challenges they face in building scalable data pipelines or how they envision the future of their AI platform. This demonstrates your enthusiasm and engagement with their mission.