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- Tasks: Design and maintain scalable data pipelines using cutting-edge GenAI technologies.
- Company: Join a leading tech company with a forward-thinking approach.
- Benefits: Enjoy competitive salary, bonuses, private medical, pension, and flexible hybrid working.
- Why this job: Make a real impact in AI-driven products and analytics while enjoying autonomy.
- Qualifications: 5+ years in Data Engineering with strong SQL, Python, and Snowflake skills.
- Other info: Collaborative culture with excellent growth opportunities in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a Senior Data Engineer with hands-on GenAI experience to join a forward-thinking technology business that is building data-driven solutions with real-world impact. This is a highly visible, senior-level role where you will take ownership of data pipelines, architecture, and GenAI operational frameworks - helping shape the next generation of AI-driven products and analytics. If you enjoy combining engineering rigor with AI innovation, this role gives you the platform, freedom, and backing to make it happen.
Key Responsibilities
- Design, build, and maintain scalable data pipelines across modern cloud platforms
- Drive the implementation of GenAI frameworks, including model deployment, monitoring, and lifecycle management ("GenAI Ops")
- Develop robust ETL/ELT workflows and optimise performance within Snowflake
- Collaborate with cross-functional teams to integrate AI solutions into data ecosystems
Must-Haves
- Strong background in Data Engineering at a senior level (typically 5+ years' experience)
- Expert-level SQL and Python skills
- Deep Snowflake experience - essential for fast ramp-up
- Proven hands-on GenAI implementation experience - deploying, managing, and monitoring AI solutions in production
- Solid understanding of AI model lifecycle and operations (GenAI Ops)
What's in It for You
- Opportunity to work with cutting-edge GenAI technologies in a growing data team
- Highly collaborative culture with genuine autonomy and ownership
- Competitive salary, bonus, private medical, pension, and flexible hybrid working
Senior Data Engineer (GenAI) - Leading Tech Company! employer: Robert Half
Contact Detail:
Robert Half Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (GenAI) - Leading Tech Company!
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving GenAI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in GenAI. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer (GenAI) - Leading Tech Company!
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your GenAI experience and any relevant projects you've worked on. 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! Use it to tell us why you're passionate about data engineering and how you can contribute to our innovative team. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to emphasise your SQL, Python, and Snowflake expertise. We’re keen to see specific examples of how you’ve used these skills in real-world scenarios, especially in GenAI implementations.
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 this exciting opportunity. Let’s get started!
How to prepare for a job interview at Robert Half
✨Know Your GenAI Inside Out
Make sure you brush up on your GenAI knowledge before the interview. Be ready to discuss your hands-on experience with deploying and managing AI solutions, as well as any specific frameworks you've worked with. This will show that you're not just familiar with the concepts but have practical expertise.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience in building scalable data pipelines and optimising ETL/ELT workflows. Have examples ready that highlight your SQL and Python skills, especially in relation to Snowflake. This will demonstrate your technical prowess and how you can contribute to their data-driven solutions.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to discuss how you've collaborated with others in past projects. Share specific instances where your teamwork led to successful AI integrations or data ecosystem improvements. This will illustrate your ability to work well in a collaborative environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current GenAI projects or the challenges they face in data engineering. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
