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- Tasks: Modernise data platforms and build robust data pipelines using Databricks.
- Company: Leading global information provider with a collaborative culture.
- Benefits: Career growth opportunities, skill development, and a supportive work environment.
- Why this job: Join a team of experts and make a real impact in data engineering.
- Qualifications: Strong Python experience, SQL knowledge, and familiarity with cloud platforms.
- Other info: Dynamic role with excellent potential for professional advancement.
The predicted salary is between 48000 - 72000 £ per year.
A leading global information provider in London is seeking a Senior AI Engineer to play a critical role in modernizing a data platform built on Databricks. This position involves transitioning legacy data systems, building robust data pipelines, and collaborating with experts to enhance operational efficiencies.
Ideal candidates will have strong experience in Python, with a proven understanding of SQL, cloud platforms, and data engineering best practices.
The company offers a collaborative culture with opportunities for career growth and skill development.
Senior AI Engineer — Databricks Data Platform in London employer: WhiteCrow Research
Contact Detail:
WhiteCrow Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer — Databricks Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them during interviews. We want to see how you’ve tackled real-world problems, especially with Python and data engineering.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and cloud platform knowledge. We recommend doing mock interviews with friends or using online platforms to simulate the experience. It’ll help you feel more confident when it’s your turn!
✨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 Senior AI Engineer — Databricks Data Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud platforms. We want to see how your skills align with the role of a Senior AI Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about modernising data platforms and how your background makes you a perfect fit for our team. Let us know what drives you!
Showcase Your Collaboration Skills: Since this role involves working closely with experts, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those stories with us!
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 WhiteCrow Research
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and SQL knowledge. Be ready to discuss specific projects where you've used these technologies, especially in the context of data pipelines and cloud platforms. The more you can demonstrate your hands-on experience, the better!
✨Understand Databricks and Data Engineering Best Practices
Familiarise yourself with Databricks and its features. Be prepared to talk about how you've modernised data platforms in the past and the best practices you've followed in data engineering. This will show that you’re not just a coder but someone who understands the bigger picture.
✨Showcase Your Collaboration Skills
Since this role involves working with experts across various fields, think of examples where you've successfully collaborated on projects. Highlight your communication skills and how you’ve contributed to team success, as this company values a collaborative culture.
✨Prepare Questions That Matter
Have a few insightful questions ready for your interviewers. Ask about their current challenges with the data platform or how they envision the future of their data strategy. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
