At a Glance
- Tasks: Design and deliver scalable cloud-native data solutions for advanced AI capabilities.
- Company: Join an AI-native consultancy transforming global enterprises with data-driven platforms.
- Benefits: Competitive daily rate, hybrid working, and opportunities to work on cutting-edge projects.
- Other info: Collaborative environment with a focus on professional growth and exciting challenges.
- Why this job: Be at the forefront of AI innovation while building impactful data solutions.
- Qualifications: Experience with Azure, Python, and modern data platforms; AI workflow knowledge is a bonus.
Hybrid working - Central London (3 days onsite)
We’re partnered with an AI-native consultancy helping global enterprises build AI-powered, data-driven platforms. They’re looking for a Data Platform Engineer to design and deliver scalable cloud-native data solutions supporting advanced AI capabilities.
Skills:
- Azure (Must have)
- Python
- Docker/Kubernetes
- Kafka/Kinesis/MSK
- Modern data platforms and pipelines
Experience with vector/graph databases and AI workflows is a plus.
What you’ll do:
- Build scalable cloud-native data platforms
- Develop modern data architectures and pipelines
- Design ETL and streaming solutions
- Collaborate with AI Engineers on cutting-edge AI initiatives
- Support enterprise data and AI transformation projects
Data Platform Engineer | London | £600–£800/day Outside IR35 employer: Oliver Bernard
Join a forward-thinking AI-native consultancy in the heart of London, where innovation meets collaboration. As a Data Platform Engineer, you'll thrive in a hybrid work environment that fosters creativity and professional growth, while contributing to transformative AI projects for global enterprises. Enjoy competitive daily rates, a supportive culture, and the opportunity to work with cutting-edge technologies that shape the future of data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer | London | £600–£800/day Outside IR35
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Python, and modern data platforms. 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 skills. Be ready to discuss your experience with ETL processes, cloud-native solutions, and collaboration with AI engineers. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Platform Engineer | London | £600–£800/day Outside IR35
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, Python, and any relevant data platforms. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Platform Engineer role and how your background makes you a perfect fit for our AI-driven projects.
Showcase Relevant Projects:If you've worked on any cloud-native data solutions or AI initiatives, make sure to mention them. We love seeing real-world examples of your work that demonstrate your capabilities in building scalable data platforms.
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 in London!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Python, and Docker/Kubernetes. Brush up on your knowledge of Kafka/Kinesis/MSK as well. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building data platforms and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to deliver scalable solutions.
✨Collaborate Like a Pro
Since you'll be working closely with AI Engineers, be ready to talk about your experience in cross-functional teams. Share examples of how you’ve collaborated on projects, especially those involving AI initiatives. Highlighting your teamwork skills will show that you can thrive in their hybrid working environment.
✨Stay Updated on Trends
Familiarise yourself with the latest trends in data platforms and AI workflows. Mention any recent developments or tools you’ve explored, especially around vector/graph databases. This shows your passion for the field and your commitment to continuous learning, which is crucial for a role like this.
