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- Tasks: Design and build scalable data pipelines for AI and ML applications.
- Company: Starcom, a global leader in communications planning and media.
- Benefits: Flexible working, reflection days, and comprehensive wellbeing support.
- Why this job: Shape the future of AI while working with cutting-edge technologies.
- Qualifications: Experience in data engineering and cloud platforms like AWS or Azure.
- Other info: Join a supportive culture recognised as one of the best places to work.
The predicted salary is between 48000 - 72000 £ per year.
Company Description: With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at the centre of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, we are the flagship Publicis Media agency that uses our ‘Power of One’ business model.
Overview: What will you be doing? This role presents an opportunity to engage deeply with MLOps, vector databases, and Retrieval-Augmented Generation (RAG) pipelines – skills that are in incredibly high demand. If you are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply.
Responsibilities: As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems. Your responsibilities will include:
- Design and Build Scalable Data Pipelines: Architect, implement, and optimize robust, high-performance real-time and batch ETL pipelines to ingest, process, and transform massive datasets for LLMs and foundational AI models.
- Cloud-Native Innovation: Leverage your deep expertise across AWS, Azure, and/or GCP to build cloud-native data solutions, ensuring efficiency, scalability, and cost-effectiveness.
- Power Generative AI: Develop and manage specialized data flows for generative AI applications, including integrating with vector databases and constructing sophisticated RAG pipelines.
- Champion Data Governance
WORK YOUR WORLD: Opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year.
REFLECTION DAYS: Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care.
HELP@HAND BENEFITS: 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching.
FAMILY FRIENDLY POLICIES: We provide 26 weeks of full pay for the following family milestones: Maternity, Adoption, Surrogacy and Shared Parental Leave.
FLEXIBLE WORKING, BANK HOLIDAY SWAP
Senior Data Engineer employer: Publicis Groupe UK
Contact Detail:
Publicis Groupe UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Starcom. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to MLOps and data pipelines. This gives you a chance to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and understanding of generative AI. Be ready to discuss how you can contribute to building scalable data solutions at Starcom.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with MLOps, data pipelines, and cloud technologies like AWS or Azure. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and data engineering, and explain why you’re excited about joining our team at Starcom. Let us know how you can contribute to our mission.
Showcase Relevant Projects: If you've worked on any projects related to generative AI or data governance, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
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’re considered for the role. Plus, it shows you’re keen to join our amazing team!
How to prepare for a job interview at Publicis Groupe UK
✨Know Your Tech Inside Out
Make sure you’re well-versed in MLOps, vector databases, and RAG pipelines. Brush up on your knowledge of AWS, Azure, and GCP, as these are crucial for the role. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of complex challenges you've tackled in data engineering. Highlight how you designed scalable data pipelines or optimised ETL processes. This will demonstrate your ability to handle high-impact tasks effectively.
✨Emphasise Collaboration and Culture Fit
Starcom values a supportive culture, so be sure to express your enthusiasm for teamwork and collaboration. Share experiences where you’ve worked with cross-functional teams and how you contributed to a positive work environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data governance and generative AI. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals and values.
