Data Platform Engineer | London | Enterprise AI Consultancy
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
- 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.
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