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- Tasks: Design and maintain cloud-native data pipelines while automating workflows.
- Company: Leading AI-native consulting firm in Greater London with a supportive culture.
- Benefits: Flexible working options, 35 days leave, and private medical insurance.
- Why this job: Join a growing team and work with cutting-edge AI technologies.
- Qualifications: Experience with Python, SQL, Spark, and cloud platforms like AWS and Azure.
- Other info: Great opportunities for professional growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI-native consulting firm in Greater London is searching for a Data Engineer to join their growing team. The role involves designing and maintaining cloud-native data pipelines and automating workflows using various tools.
Candidates should have solid experience with Python, SQL, and Spark, and be comfortable working across cloud platforms like AWS and Azure.
The position offers flexible working options, a supportive culture, and opportunities for professional growth, including 35 days leave and private medical insurance.
Cloud Data Engineer — Ai-Driven, Remote in England employer: CreateFuture
Contact Detail:
CreateFuture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer — Ai-Driven, Remote in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud-native data pipelines or any projects you've worked on with Python, SQL, and Spark. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to cloud platforms like AWS and Azure. Practising with mock interviews can help you feel more confident when it’s your turn to shine.
✨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 get noticed by our hiring team.
We think you need these skills to ace Cloud Data Engineer — Ai-Driven, Remote in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Spark. We want to see how your skills align with the role of a Cloud Data Engineer, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Cloud Experience: Since we’re all about cloud-native solutions, make sure to mention any experience you have with AWS or Azure. Highlight specific projects where you’ve designed or maintained data pipelines to demonstrate your expertise.
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at CreateFuture
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and Spark skills before the interview. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Cloud Platforms Familiarity
Since the role involves working with AWS and Azure, it’s crucial to understand the differences between these platforms. Prepare to talk about specific services you’ve used and how they can be leveraged for building cloud-native data pipelines.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical questions or case studies during the interview. Think through your approach to automating workflows and designing data pipelines, and be ready to explain your thought process clearly.
✨Cultural Fit Matters
This company values a supportive culture, so don’t forget to highlight your teamwork and collaboration experiences. Share examples of how you’ve contributed to a positive work environment and how you handle feedback.
