Data Platform Engineer

Webuild Ai; City of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A tech solutions firm in the UK is seeking a Platform Engineer. The successful candidate will design scalable data architectures and work closely with clients to understand their transformation needs. The ideal applicant has expertise in AWS or Azure, strong coding skills in Python, and experience with data-driven solutions. This is a full-time role suitable for mid-senior level engineers.

Qualifications

• Strong experience with AWS and/or Azure data services required.
• Proficiency in Python for data processing.
• Experience with scalable data platforms in the public cloud.

Responsibilities

• Work with clients to understand data landscape.
• Establish data strategy roadmaps.
• Design scalable data architectures.

Skills

Data-driven platforms design

AWS data services

Python

Cloud platforms

Data modelling and wrangling

Containerisation technologies

Vector and graph databases

API specifications and data integrations

AI/ML workflows

Creative problem-solving

Excellent communication skills

Job description

Overview

As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers’ AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients.

Key Responsibilities

• Work with clients to understand their data landscape and transformation needs.
• Establish data strategy roadmaps and build scalable data platforms.
• Design and implement scalable data architectures to support AI-driven solutions.
• Develop data solutions across a raft of AWS and Azure data services.
• Design and implement data mesh and data fabric solutions to optimise data discovery, accessibility, and governance.
• Establish governance and control planes for structured and unstructured data interaction for AI systems.
• Collaborate with AI Engineers to ensure data structures support advanced AI capabilities.
• Support ongoing development of our Pathway platform and the creation and delivery of AI agents across the end-to-end data lifecycle.
• Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers.

Required Skills & Experience

• Adequate design of data‑driven platforms, with hands‑on experience building them.
• Strong experience with AWS data services (e.g., AWS DataZone, Bedrock, Redshift, Glue) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse).
• Proficiency with Python for data processing and pipeline development.
• Experience building scalable and resilient data platforms in the public cloud.
• Data modelling and wrangling expertise to support advanced analytical use cases and ML/AI opportunities.
• Experience with containerisation technologies (Docker, Kubernetes) for scalable data solutions.
• Experience with vector and graph databases (e.g., Pinecone, Neo4j, AWS Neptune).
• Understanding of data mesh-fabric approaches and modern data architecture patterns.
• Familiarity with AI/ML workflows and their data requirements.
• Experience with API specifications and data integrations across ETL and streaming services (Glue, MSK, Kinesis, Kafka).
• Familiarity with AI developer tools like Cursor and GitHub Copilot, and desire to use them to 10x throughput.
• Collaborative approach and excellent communication skills.
• Strong problem‑solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.

The Mindset We Value

Frontier Thinking: consistently ask “what if?” and experiment with emerging technologies that haven't yet been applied at enterprise scale.

Adaptable Learning: thrive in rapid change, constantly expanding skills as new capabilities emerge.

Client Empathy: translate complex technical concepts into business value that resonates with stakeholders.

Speed with Purpose: fast iterations while maintaining focus on meaningful outcomes.

Growth Opportunities

• Expand expertise across multiple cloud platforms and emerging data technologies.
• Gain certification in cutting-edge AI, data, and knowledge graph technologies.
• Work directly with enterprise leadership to shape AI strategy.
• Develop deep specialisation in industry-specific solutions.
• Contribute to thought leadership and IP development.
• Shape the future direction of our Pathway platform.
• Play a key role in shaping the future of our business from the ground up.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Industries

IT Services and IT Consulting