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- Tasks: Build scalable data pipelines and automate processes for innovative solutions.
- Company: Leading media agency in Greater London with a supportive culture.
- Benefits: Flexible hybrid work, extensive benefits, and an inclusive workplace.
- Why this job: Join a dynamic team and make a real impact on product development.
- Qualifications: Experience in data engineering, Python, and SQL required.
- Other info: Great opportunity for growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading media agency in Greater London is searching for a Data Engineer to join the Product Development team. This role involves working closely with the Scrum Master to deliver technical builds, requiring solid experience in data engineering and proficiency in Python and SQL. The ideal candidate will create efficient data pipelines and automation, supporting the growth of innovative solutions. The company offers a flexible hybrid work environment along with extensive benefits, promoting a supportive and inclusive workplace.
Data Engineer: Build Scalable Data Pipelines for Growth employer: Publicis Groupe Holdings B.V
Contact Detail:
Publicis Groupe Holdings B.V Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Data Pipelines for Growth
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A friendly chat can sometimes lead to 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 proficiency in Python and SQL, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past experiences with data automation and pipeline creation.
✨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 Data Engineer: Build Scalable Data Pipelines for Growth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to our Product Development team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've built scalable data pipelines or automated processes. We’re looking for candidates who can demonstrate their ability to tackle challenges head-on and deliver 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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Publicis Groupe Holdings B.V
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with building scalable data pipelines, and don’t forget to highlight your proficiency in Python and SQL. Prepare examples of past projects where you’ve successfully implemented these skills.
✨Familiarise Yourself with Agile Methodologies
Since you'll be working closely with a Scrum Master, it’s crucial to understand Agile principles. Be prepared to talk about how you've worked in Agile teams before, and think of specific instances where you contributed to sprint planning or retrospectives.
✨Showcase Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising processes. Think of challenges you've faced in previous roles and how you overcame them. This will demonstrate your analytical thinking and ability to create efficient solutions.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, the tools they use, and how the Product Development team collaborates. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
