At a Glance
- Tasks: Design and build scalable data pipelines to support innovative content production.
- Company: Join Publicis Groupe, a leader in creative data solutions with a global presence.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diversity and inclusion are core values; we celebrate all backgrounds and identities.
- Why this job: Be at the forefront of data engineering and make a real impact on creative projects.
- Qualifications: Experience in data engineering, cloud platforms, and strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
Within Publicis Groupe’s Intelligent Creativity business, we specialize in bringing creative ideas to life, and to consumers. By combining 100 years of craft excellence with 6,000 experts across 52 locations of the world’s biggest studio network, we leverage the industry’s richest data, through the power of agentic AI, to radically redefine content production with Intelligent Content. We intuitively deliver this through Marcel Make, the world’s first Intelligent Content agent. The result? Predictively performing content that unlocks business growth in unprecedented ways.
We are seeking a proactive and self-motivated Senior Data Engineer with a proven track record in building scalable cloud-based data solutions across multiple cloud platforms to support our work in architecting, building and maintaining the data infrastructure. The specific focus for this role will start with GCP; however, we require experience with Snowflake and Databricks also. As a senior member within the data engineering space, you will play a pivotal role in designing scalable data pipelines, optimizing data workflows, and ensuring data availability and quality for production technology.
The ideal candidate brings deep technical expertise in AWS, GCP and/or Databricks alongside essential hands-on experience building pipelines in Python, analysing data requirements with SQL, and modern data engineering practices. Your ability to work across business and technology functions, drive strategic initiatives, and independently problem solve will be key to success in this role.
Qualifications- Extensive experience in data engineering and solution delivery, with a strong track record of technical leadership.
- Deep understanding of data modeling, data warehousing concepts, and distributed systems.
- Excellent problem-solving skills and ability to progress with design, build and validate output data independently.
- Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools.
- Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure.
- Familiarity with machine learning pipelines and MLOps practices.
- Additional experience with Databricks and specific AWS such as Glue, S3, Lambda.
- Proficient in Git, CI/CD pipelines, and DevOps tools (e.g., Azure DevOps).
- Hands-on experience with web scraping, REST API integrations, and streaming data pipelines.
Diversity and inclusion is a core part of who we are at Publicis Production. We’re committed to building an inclusive culture that encourages, celebrates and supports our wonderfully diverse employee group – whatever their age, gender identity, race, sexual orientation, physical or mental ability or ethnicity. Diversity and inclusion doesn’t just fuel our creativity and innovation, it brings us closer to our people and audiences. We will continue to strive to create a culture and environment where everyone feels empowered and more importantly comfortable enough to bring their full, authentic selves to work. We are committed to providing reasonable adjustments for employees with disabilities and for candidates in our application process. If you need assistance or adjustment due to a disability, please contact us.
Senior Data Engineer employer: Publicis Production
Publicis Groupe is an exceptional employer that champions creativity and innovation within a diverse and inclusive work culture. As a Senior Data Engineer, you will have the opportunity to work with cutting-edge technologies in a collaborative environment that fosters professional growth and development. With a commitment to empowering employees and a focus on meaningful contributions, Publicis Groupe offers a unique chance to be part of a global network that is redefining content production.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Publicis Production!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Publicis Production.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Publicis Production.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Publicis Production, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Publicis Production, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Publicis Production. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Publicis Production
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Publicis Production!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
