Data Platform Engineer | Contract (OUTSIDE IR35)
Posted Today by Oliver Bernard
£700 Per day
Outside
Hybrid
London Area, United Kingdom
Summary: The Data Platform Engineer role involves designing and building scalable cloud-native data platforms to support AI-driven solutions for enterprise clients. This position is with an AI-native consultancy focused on transforming organizations into data-driven businesses. The engineer will collaborate with AI engineers and work on modern data architectures, data mesh, and integration solutions. The role is hybrid and based in Central London, classified as outside IR35.
Key Responsibilities:
- 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
Key Skills:
- 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
Salary (Rate): £700 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Data Platform Engineer | Contract (OUTSIDE IR35) £600 - 700 Outside IR35 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.
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
£600 - 700 Outside IR35 Hybrid Working, Central London