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 innovative data platforms.
- Benefits: Competitive daily rate, hybrid working, and opportunities to work on cutting-edge projects.
- Other info: Collaborative environment with a focus on innovation and career growth.
- Why this job: Be at the forefront of AI technology and make a real impact in data transformation.
- 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. With a strong emphasis on hybrid working, you will enjoy the flexibility of three days onsite while contributing to transformative AI projects that shape the future of data solutions. The company fosters a dynamic work culture that prioritises employee growth and offers competitive rates, making it an ideal environment for those seeking meaningful and rewarding employment.
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 knowledge. 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 get noticed by hiring managers looking for top talent like you!
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 passionate about building AI-powered data solutions and how your background makes you a perfect fit for our team.
Showcase Relevant Projects:If you've worked on projects involving Docker, Kubernetes, or streaming solutions, make sure to mention them. We love seeing real-world applications of your skills, especially in modern data architectures!
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 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 or data transformation. Highlighting your teamwork skills can set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data initiatives and future projects. This shows your genuine interest in their work and helps you gauge if the role aligns with your career goals. Plus, it gives you a chance to demonstrate your knowledge about modern data architectures and pipelines.
