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- Tasks: Design and maintain scalable data pipelines for an AI-powered recruiting platform.
- Company: Join Collective.work, a leader in innovative AI solutions.
- Benefits: Enjoy flexible remote work and competitive pay.
- Other info: Work in a dynamic environment with growth opportunities.
- Why this job: Make a real impact on cutting-edge AI products from day one.
- Qualifications: Proficient in Python and SQL with data modeling experience.
The predicted salary is between 50000 - 70000 £ per year.
Collective.work is seeking a data engineer to design and maintain scalable data pipelines and optimize ETL/ELT workflows across cloud services like Azure and GCP. The ideal candidate will have a strong proficiency in Python and SQL, experience in data modeling, and knowledge of data governance. This role offers a flexible remote work environment and the opportunity to work on cutting-edge AI products, where you can have a significant impact from day one.
Data Engineer - AI-Powered Recruiting Platform (Remote) in London employer: Collective.work
Contact Detail:
Collective.work Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - AI-Powered Recruiting Platform (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. 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 data pipelines, ETL/ELT workflows, and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with data modeling and governance. Practising common interview questions 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, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Data Engineer - AI-Powered Recruiting Platform (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about working on AI-powered products and how you can contribute to our team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled challenges in data engineering. We love seeing how you approach problems and come up with innovative solutions!
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 Collective.work
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to data pipelines and ETL/ELT workflows.
✨Showcase Your Data Modelling Skills
Prepare examples of your experience with data modelling. Think about specific challenges you've faced and how you overcame them, as well as any best practices you follow to ensure data integrity and governance.
✨Familiarise Yourself with Cloud Services
Since the role involves working with Azure and GCP, it’s crucial to understand their features and capabilities. Be prepared to discuss how you've leveraged these platforms in previous roles or projects.
✨Emphasise Your Impact
Collective.work is looking for someone who can make a significant impact from day one. Think about how your contributions have led to measurable improvements in past positions and be ready to share those stories during the interview.