At a Glance
- Tasks: Design and build scalable cloud-native data platforms for advanced AI solutions.
- Company: Join an innovative AI consultancy transforming enterprises with cutting-edge data technology.
- 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 engineering, making a real impact.
- Qualifications: Experience with AWS/Azure, Python, and modern data architectures.
The predicted salary is between 115000 - 115000 £ per year.
Up to £115,000 + bonus
Hybrid Working, Central London
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.
Data Platform Engineer | London | Enterprise AI Consultancy 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 Data Platform Engineer | London | Enterprise AI Consultancy
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data platforms and AI solutions. 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 past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that dream job.
We think you need these skills to ace Data Platform Engineer | London | Enterprise AI Consultancy
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Platform Engineer role. Highlight your experience with AWS, Azure, and any relevant data architecture patterns to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how your background makes you a great fit. Share specific examples of your work with data platforms and AI solutions to really stand out.
Showcase Your Problem-Solving Skills:In your application, don’t shy away from discussing complex challenges you've tackled in the past. We love candidates who can demonstrate strong problem-solving abilities and a systems-thinking mindset.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 and Azure data services. Brush up on your Python skills for data processing and be ready to discuss your experience with scalable cloud data platforms.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges in previous roles. Think about specific instances where you used systems-thinking to develop solutions, particularly in fast-paced environments.
✨Communicate Like a Pro
Practice explaining technical concepts in simple terms. You’ll need to communicate effectively with both technical and business stakeholders, so being able to bridge that gap is crucial.
✨Stay Curious About AI Trends
Demonstrate your interest in emerging AI technologies and modern data architecture patterns like data mesh or fabric. Be prepared to discuss how these trends can impact enterprise transformation and how you can contribute to that journey.
