At a Glance
- Tasks: Design and build scalable cloud-native data platforms for advanced AI solutions.
- Company: Join an innovative AI consultancy transforming global enterprises.
- Benefits: Up to £115,000 salary, bonus, and hybrid working in central London.
- Other info: Dynamic role with opportunities to solve complex challenges across industries.
- Why this job: Be at the forefront of AI and data architecture, making a real impact.
- Qualifications: Experience with AWS/Azure, Python, and modern data architectures required.
The predicted salary is between 115000 - 115000 £ per year.
We’re partnering with an AI-native consultancy that is helping global enterprise organisations transform into AI-powered, data-driven businesses through cutting-edge data and AI platforms. This is a unique opportunity to join a business working at the forefront of modern data architecture, AI infrastructure, and enterprise transformation.
You’ll play a key role in designing and building scalable data platforms that power advanced AI solutions across multiple industries. The role would suit someone who enjoys combining hands-on engineering with strategic thinking, and who is excited by emerging AI and cloud technologies.
What you’ll be working on:
- Designing and building scalable cloud-native data platforms
- Developing modern data architectures to support AI-driven solutions
- Building data mesh / data fabric solutions
- Creating pipelines and integrations across ETL and streaming services
- Collaborating closely with AI Engineers to enable advanced AI capabilities
- Helping enterprise clients shape their data and AI transformation strategies
Requirements:
- Strong experience with AWS and/or Azure data services
- Python for data processing and pipeline development
- Experience with scalable cloud data platforms
- Exposure to modern data architecture patterns (data mesh / fabric)
- Experience with vector or graph databases (Pinecone, Neo4j, AWS Neptune etc.)
- Familiarity with streaming technologies such as Kafka, Kinesis or MSK
- Interest in AI/ML workflows and emerging AI tooling
Ideal profile:
- Strong problem-solving and systems-thinking mindset
- Comfortable operating in fast-moving, high-growth environments
- Able to communicate effectively with both technical and business stakeholders
- Curious about emerging technologies and modern AI ecosystems
- Enjoys solving complex enterprise challenges across different industries
This is a fantastic opportunity for someone who wants to work at the intersection of data engineering, AI infrastructure, and enterprise transformation while helping shape next-generation AI platforms. Hybrid working – London based office, 3 days per week.
AI-Driven Data Platform Engineer (Hybrid, London) employer: Oliver Bernard
Join an innovative AI-native consultancy in the heart of London, where you'll be at the forefront of transforming global enterprises into data-driven powerhouses. With a strong emphasis on hybrid working, a collaborative culture, and ample opportunities for professional growth, this role offers you the chance to work with cutting-edge technologies while making a meaningful impact across various industries. Enjoy competitive compensation, a supportive environment, and the excitement of shaping the future of AI and data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven Data Platform Engineer (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to people 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 related to AI and data platforms. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to data engineering and AI, and be ready to discuss your thought process when tackling complex challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace AI-Driven Data Platform Engineer (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of an AI-Driven Data Platform Engineer. Highlight your experience with AWS, Azure, and any relevant data architecture patterns to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background in data engineering and AI can contribute to our mission at StudySmarter.
Showcase Your Projects:If you've worked on any projects involving scalable cloud-native data platforms or AI solutions, be sure to mention them. We love seeing real-world applications of your skills!
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!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Azure, and Python. Brush up on your knowledge of data mesh and fabric solutions, as well as streaming technologies like Kafka or Kinesis. Being able to discuss these topics confidently will show that you're not just familiar but truly engaged with the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex challenges in data engineering or AI infrastructure. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your strong problem-solving mindset and systems-thinking approach, which are crucial for this position.
✨Communicate Like a Pro
Since the role involves collaborating with both technical and business stakeholders, practice explaining complex concepts in simple terms. Think about how you would describe your past projects to someone without a technical background. This will highlight your ability to bridge the gap between tech and business, making you a valuable asset.
✨Stay Curious About Emerging Technologies
Show your enthusiasm for the latest trends in AI and cloud technologies during the interview. Be prepared to discuss any recent developments or tools you've been exploring. This curiosity will reflect your passion for the field and your commitment to staying ahead in a fast-moving environment.
