At a Glance
- Tasks: Lead the design of cloud-native data architecture and build data pipelines.
- Company: Join Publicis Media, a leader in innovative data solutions.
- Benefits: Enjoy flexible working, extra leave, and an exceptional benefits package.
- Other info: Mentor junior engineers in a supportive, hybrid work environment.
- Why this job: Make a real impact by shaping the future of data engineering.
- Qualifications: Expertise in Python, SQL, and experience with AWS or GCP required.
The predicted salary is between 60000 - 80000 € per year.
Publicis Media seeks a Senior Data Engineer to lead the technical direction of their Data Foundation Platform. The role involves designing cloud-native data architecture, building data pipelines using technologies like Fivetran and Databricks, and mentoring junior engineers.
Ideal candidates should possess expert-level skills in Python and SQL, and experience with AWS or GCP.
The position supports hybrid working and offers an exceptional benefits package including additional leave and flexible working options.
Senior Data Engineer – Global Remote & AI Platform in London employer: UNAVAILABLE
Publicis Media is an exceptional employer that champions innovation and collaboration within a dynamic work environment. With a strong focus on employee growth, the company offers extensive mentorship opportunities and a flexible hybrid working model, ensuring a healthy work-life balance. The comprehensive benefits package, including additional leave, makes it an attractive choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – Global Remote & AI Platform in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineer role. 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 projects, especially those involving cloud-native architecture and data pipelines. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your experience with AWS or GCP. Confidence in your technical abilities can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Senior Data Engineer – Global Remote & AI Platform in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expert-level skills in Python and SQL right from the get-go. We want to see how you’ve used these technologies in real-world scenarios, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for the Senior Data Engineer role. Mention your experience with cloud-native data architecture and any relevant projects you've worked on that align with our needs at Publicis Media.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that make it easy for us to see your qualifications and fit for the role without wading through unnecessary fluff.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, we love seeing candidates who follow instructions!
How to prepare for a job interview at UNAVAILABLE
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Fivetran, Databricks, Python, SQL, and AWS or GCP. Brush up on your knowledge of cloud-native data architecture and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior engineers, think of examples where you've successfully guided others. Be prepared to share specific instances that highlight your leadership style and how you’ve helped team members grow their skills.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities and understanding of data engineering concepts. Practice coding challenges in Python and SQL, and be ready to explain your thought process clearly during the interview.
✨Emphasise Flexibility and Collaboration
With hybrid working in play, demonstrate your adaptability and ability to collaborate effectively in a remote environment. Share experiences where you’ve successfully worked with distributed teams and how you maintain communication and productivity.
