Data Platform Engineer

Webuild Ai; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Webuild Ai is seeking a Platform Engineer to design and implement cutting-edge data solutions for AI-driven transformations. This strategic role involves collaborating with global enterprise clients to optimize data platforms and strategies.

The ideal candidate has strong AWS and Azure experience, along with proficiency in Python. As a hybrid position, team members work in the London office three days a week.

Qualifications

• Strong experience with AWS and/or Azure data services, exposure to AI systems.
• Proficiency with Python for data processing and pipeline development.
• Experience building scalable and resilient data platforms in the public cloud.

Responsibilities

• Design and implement scalable data architectures for AI-driven solutions.
• Establish data strategy roadmaps and build scalable data platforms.
• Collaborate with AI Engineers to support advanced AI capabilities.

Skills

AWS data services

Azure data services

Proficiency with Python

Data modelling expertise

Docker

Kubernetes

API specifications

AI/ML workflows

Collaboration

Tools

Docker

Kubernetes

AWS DataZone

Azure OpenAI

Job description

About WeBuild-AI:

WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.

Our Purpose:

At WeBuild-AI, we're not just building data architectures—we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation, and we're looking for visionaries who share our passion for pushing boundaries.

Role 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. This role offers the unique opportunity to shape how entire industries approach data and AI integration.

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
  discover, accessibility and governance.
• Establish the required 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 the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle.(e.g. Data Governance & Data Quality Agents)
• Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers.

Required Skills & Experience:

• You need to be equally adept at designing data driven platforms, as well as getting your fingers on key boards to build them.
• Strong experience with AWS data services with exposure to AI systems (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 in 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 databases 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 acrossETL and streaming services (Glue, MSK, Kinesis, Kafka)
• Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your 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: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale.

Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge.

Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey.

Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes.

Growth Opportunities:

• Expand your 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 our thought leadership and IP development
• Shape the future direction of our Pathway platform
• We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart.

This role is hybrid and we come into our London based office 3 days a week.