At a Glance
- Tasks: Design and build scalable cloud-native data platforms for AI-driven solutions.
- Company: Join an AI-native consultancy transforming global enterprises with cutting-edge data technology.
- Benefits: Competitive pay, hybrid working, and the chance to work on innovative projects.
- Other info: Fast-paced environment with opportunities to tackle complex challenges.
- Why this job: Be at the forefront of modern data architecture and make a real impact.
- Qualifications: Experience with Azure, Python, and scalable cloud data platforms required.
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.
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
Tech / experience:
- Strong experience with 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)
- Containerisation experience (Docker / Kubernetes)
- 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
Data Platform Engineer | Contract (OUTSIDE IR35) in London employer: Oliver Bernard
Join a pioneering AI-native consultancy in Central London, where innovation meets collaboration. As a Data Platform Engineer, you'll thrive in a hybrid working environment that fosters creativity and growth, while contributing to transformative projects that empower global enterprises. With a strong emphasis on employee development and a culture that embraces cutting-edge technology, this is an exceptional opportunity for those looking to make a meaningful impact in the world of data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer | Contract (OUTSIDE IR35) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data platforms and AI. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Platform Engineer | Contract (OUTSIDE IR35) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with Azure data services, Python, and any relevant cloud platforms to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data platforms and AI. Share specific examples of your past work that align with the role, and show us how you can contribute to our mission.
Showcase Your Projects:If you've worked on any projects involving data mesh or fabric solutions, containerisation, or streaming technologies, make 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 brush up on your knowledge of Azure data services, Python, and modern data architecture patterns like data mesh and fabric. Be ready to discuss specific projects where you've used these technologies, as this will show your practical experience and understanding.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex challenges you've faced in previous roles and how you tackled them. This is especially important for a Data Platform Engineer role, as you'll need to demonstrate your systems-thinking mindset and ability to operate in fast-moving environments.
✨Communicate Clearly with Stakeholders
Practice explaining technical concepts in simple terms, as you'll need to communicate effectively with both technical and business stakeholders. Think of scenarios where you've had to bridge the gap between tech and non-tech teams, and be ready to share those experiences.
✨Stay Curious About Emerging Technologies
Show your enthusiasm for AI/ML workflows and emerging AI tooling during the interview. Research recent trends in the industry and be prepared to discuss how they could impact the role or the company. This will demonstrate your passion and commitment to staying ahead in the field.
