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- Tasks: Design and build scalable data pipelines for AI applications and manage data flows.
- Company: Zenith UK, a leader in AI innovation with a commitment to inclusivity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Shape the future of AI while tackling complex challenges in a dynamic environment.
- Qualifications: Experience in data engineering, cloud platforms, and a passion for AI technologies.
- Other info: Join a collaborative team dedicated to driving positive change and innovation.
The predicted salary is between 36000 - 60000 £ per year.
At Zenith UK, we believe that fostering an inclusive culture where all talent can thrive makes our company stronger. It enables a greater idea exchange, which fosters innovation and creativity, and enriches our perspective. We are committed to Publicis Groupe’s wide variety of talent engagement and inclusion programming, and encourage our people to take an active role in continuing to drive positive change within our agency.
This role presents an opportunity to engage deeply with MLOps, vector databases, and Retrieval-Augmented Generation (RAG) pipelines. If you are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply.
What You'll Do:
- As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems.
- 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.
AI Data Engineer employer: Zenith UK
Contact Detail:
Zenith UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving MLOps and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with cloud platforms like AWS, Azure, or GCP, and how you've tackled complex data challenges.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at Zenith UK. It shows you're serious about being part of our inclusive culture.
We think you need these skills to ace AI Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Data Engineer role. Highlight your experience with MLOps, data pipelines, and cloud platforms like AWS or Azure. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our innovative culture at Zenith UK. Let us know why you’re excited about this opportunity and how you can tackle complex challenges.
Showcase Relevant Projects: If you've worked on projects involving ETL pipelines or generative AI, 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 on joining our team!
How to prepare for a job interview at Zenith UK
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like MLOps, vector databases, and RAG pipelines. Brush up on your knowledge of AWS, Azure, and GCP, as you might be asked to discuss how you would leverage these platforms in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think about examples where you designed scalable data pipelines or optimised ETL processes, as this will demonstrate your hands-on experience and ability to handle complex tasks.
✨Emphasise Collaboration and Inclusion
Zenith UK values an inclusive culture, so be ready to talk about how you’ve worked in diverse teams. Share experiences where you contributed to a positive team environment or drove initiatives that promoted inclusion, as this aligns with their commitment to fostering a strong company culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s approach to AI and data governance. This shows your genuine interest in the position and helps you gauge if the company’s values align with yours. For instance, ask about their current projects involving generative AI or how they ensure data quality and compliance.