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 a fantastic benefits package.
- Other info: Work remotely in a dynamic environment with great career growth.
- Why this job: Make a real impact on data engineering while mentoring the next generation.
- 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 employer: UNAVAILABLE
Publicis Media is an outstanding employer that champions innovation and collaboration within a dynamic work environment. With a strong focus on employee growth, the company offers extensive training opportunities and a supportive culture that encourages mentorship and knowledge sharing. The hybrid working model and exceptional benefits package, including additional leave and flexible options, make it an attractive choice for those seeking a meaningful career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – Global Remote & AI Platform
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Publicis Media on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python and SQL projects. This is your chance to demonstrate your expertise in data engineering.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on cloud-native architecture and data pipeline technologies like Fivetran and Databricks. We want you to feel confident!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer – Global Remote & AI Platform
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.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience 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 the process!
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.
