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For Companies At a Glance
- Tasks: Build AI-driven data systems to optimise marketing strategies and automate tasks.
- Company: Leading marketing intelligence company in Greater London with a focus on innovation.
- Benefits: Competitive compensation and excellent professional growth opportunities.
- Why this job: Join a dynamic team and shape the future of marketing with AI technology.
- Qualifications: 8+ years of experience in data engineering and LLM integration.
- Other info: Exciting role with a chance to work on large-scale projects.
The predicted salary is between 43200 - 72000 £ per year.
A leading marketing intelligence company in Greater London is seeking a Staff AI Data Engineer who will build AI systems to optimize marketing strategies. The ideal candidate will have over 8 years of experience, with hands-on LLM integration and a strong focus on data engineering. This role involves designing large-scale data systems and automating tasks for improved efficiency. Competitive compensation and professional growth opportunities are part of the offer.
Staff AI Data Engineer: Build AI-Driven Data Systems employer: DoubleVerify
Contact Detail:
DoubleVerify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Data Engineer: Build AI-Driven Data Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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 projects, especially those involving LLM integration and data engineering. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to AI systems and data engineering, so you can confidently demonstrate your expertise when it counts.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Staff AI Data Engineer: Build AI-Driven Data Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and data engineering. We want to see how your skills align with building AI-driven data systems, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about optimising marketing strategies through AI. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Experience: With over 8 years of experience required, be specific about your hands-on work with LLM integration and large-scale data systems. We want to know what you've built and how it made an impact!
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 from our team!
How to prepare for a job interview at DoubleVerify
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI systems, especially LLM integration. Be ready to discuss specific projects where you've implemented these technologies and how they improved marketing strategies.
✨Showcase Your Data Engineering Skills
Prepare examples that highlight your experience in designing large-scale data systems. Think about the challenges you faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Automate Your Responses
Since the role involves automating tasks for efficiency, be prepared to talk about any automation tools or techniques you've used in previous roles. This shows you're not just a thinker but also a doer.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s future. Inquire about their current marketing strategies and how they envision AI playing a role in their growth.
