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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 significant impact in data engineering.
- Qualifications: Strong Python experience, SQL knowledge, and familiarity with cloud platforms.
- Other info: Dynamic role with 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 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
✨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! Create a portfolio showcasing your projects, especially those involving Python and data pipelines. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and cloud platform knowledge. We recommend practising common technical questions and scenarios related to Databricks. The more prepared you are, the more confident you'll feel!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior AI Engineer — Databricks Data Platform
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 we value collaboration, mention any experiences where you’ve worked with others to enhance operational efficiencies. We love seeing how you can contribute to our culture of teamwork!
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!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in modernising data systems or building robust data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached problems and what the outcomes were.
✨Understand the Company Culture
Research the company’s collaborative culture and think about how you can contribute to it. Be ready to share examples of how you've worked effectively in teams and how you value collaboration in your work. This will show that you're a good fit for their environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team you'll be working with. Inquire about the current challenges they face with their data platform or how they envision the future of their data engineering practices. This shows your genuine interest and helps you assess if it's the right fit for you.
