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- Tasks: Architect and maintain scalable multi-cloud data pipelines using AWS, GCP, and Python.
- Company: Leading creative technology firm in Greater London with a focus on diversity and inclusion.
- Benefits: Empowering work environment that values creativity and collaboration.
- Why this job: Join a dynamic team and make an impact in the tech industry.
- Qualifications: Extensive experience in data engineering, cloud solutions, and data modeling.
- Other info: Great opportunities for professional growth and development.
The predicted salary is between 48000 - 72000 £ per year.
A leading creative technology firm in Greater London is seeking a Senior Data Engineer. This role focuses on architecting and maintaining cloud-based data infrastructure, requiring expertise in AWS, GCP, and Python.
The ideal candidate will have extensive experience in building scalable data solutions and a strong understanding of data modeling and distributed systems.
The company values diversity and inclusion in the workplace, providing an empowering environment for all employees.
Senior Data Engineer: Build Scalable Multi-Cloud Pipelines employer: Publicis Groupe UK
Contact Detail:
Publicis Groupe UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Build Scalable Multi-Cloud Pipelines
✨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 previous projects, especially those involving AWS, GCP, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your experience with scalable data solutions.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining our diverse and inclusive team. It shows initiative and enthusiasm!
We think you need these skills to ace Senior Data Engineer: Build Scalable Multi-Cloud Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, GCP, and Python. We want to see how you've built scalable data solutions in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how your skills align with our mission. We love hearing personal stories that connect to your professional journey.
Showcase Your Projects: If you've worked on any cool projects involving cloud-based data infrastructure or distributed systems, make sure to mention them! We’re keen to see real-world applications of your skills.
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!
How to prepare for a job interview at Publicis Groupe UK
✨Know Your Cloud Platforms
Make sure you brush up on your knowledge of AWS and GCP. Be ready to discuss specific projects where you've built scalable data solutions using these platforms. Highlight your experience with cloud-based data infrastructure, as this will show you're a perfect fit for the role.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. You might be asked to solve a problem or explain how you've used Python in previous projects. Bring examples of your code or projects that showcase your ability to build efficient data pipelines.
✨Understand Data Modelling and Distributed Systems
Brush up on your understanding of data modelling and distributed systems. Be prepared to discuss how you've approached these topics in past roles. This will not only show your technical expertise but also your ability to think critically about data architecture.
✨Emphasise Diversity and Inclusion
Since the company values diversity and inclusion, be ready to share your thoughts on how these principles can enhance a workplace. Discuss any experiences you've had working in diverse teams and how it has positively impacted your work. This will resonate well with their company culture.
