Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and implementation of scalable data pipelines in a cloud-native environment.
- Company: A leading media and marketing tech company in Greater London.
- Benefits: Hybrid working, excellent benefits, and opportunities for career growth.
- Why this job: Drive significant data initiatives and mentor junior engineers in a dynamic setting.
- Qualifications: Proficiency in Python, SQL, and data engineering tools like Fivetran and Airflow.
- Other info: Join a collaborative team and make a real impact in the tech industry.
The predicted salary is between 48000 - 72000 £ per year.
A leading media and marketing technology company in Greater London is seeking a Senior Data Engineer to lead the architecture of its cloud-native data platform. This hands-on role involves designing and implementing scalable data pipelines, ensuring high-quality code, and mentoring junior engineers.
A successful candidate will have strong proficiency in Python, SQL, and data engineering tools like Fivetran and Airflow. This position offers hybrid working, excellent benefits, and the opportunity to drive significant data initiatives.
Senior Data Engineer, Data Platform & AI Pipelines employer: Publicis Groupe ANZ
Contact Detail:
Publicis Groupe ANZ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Data Platform & AI Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in Python, SQL, and tools like Fivetran and Airflow.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past projects to highlight your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer, Data Platform & AI Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data engineering tools like Fivetran and Airflow. 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! Use it to explain why you’re passionate about data engineering and how you can contribute to our cloud-native data platform. Let us know what excites you about this opportunity!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in previous roles. We love seeing candidates who can think critically and come up with innovative solutions, especially when it comes to scalable data pipelines.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Publicis Groupe ANZ
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the data engineering tools mentioned in the job description, like Fivetran and Airflow. Brush up on your knowledge of cloud-native architectures and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in designing and implementing data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your ability to think critically and solve problems effectively.
✨Mentorship Matters
Since this role involves mentoring junior engineers, be ready to share your experiences in guiding others. Think of examples where you’ve helped someone grow or overcome a technical hurdle, and express your passion for fostering talent within a team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data initiatives and the team’s goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to demonstrate your enthusiasm for driving significant data projects.
