Data Platform Engineer

Are you a hands-on Data Platform Engineer who enjoys combining technical ownership with platform strategy? This is an opportunity to join a growing data and innovation function where you will play a key role in shaping and scaling a modern Azure-based data platform that supports advanced analytics and AI initiatives across the business., As a Data Platform Engineer, you will take ownership of the overall health, scalability, and performance of the data platform while remaining hands-on with technology and operational delivery.

Responsibilities include:

• Managing and enhancing a modern Azure-based data platform
• Ensuring platform reliability, security, governance, and operational excellence
• Supporting and optimising services across Azure, Microsoft Fabric, Databricks, and related technologies
• Working closely with infrastructure, networking, architecture, and security teams
• Enabling Data Engineers to build and deploy scalable data solutions efficiently
• Driving platform improvements, monitoring, observability, and automation initiatives
• Supporting release management, CI/CD practices, and infrastructure-as-code frameworks
• Investigating performance issues, troubleshooting technical challenges, and implementing sustainable solutions
• Contributing to platform architecture decisions and clearly communicating technical rationale to stakeholders
• Promoting best practice across support, governance, documentation, and operational readiness, * Opportunity to influence the direction of a growing enterprise data platform
• Exposure to cutting-edge data and AI projects
• Collaborative culture with strong technical leadership
• Clear opportunities for professional growth and technical development

• Strong commercial experience supporting cloud-based data platforms within Azure environments
• Experience with Azure Data Factory (ADF)
• Exposure to Microsoft Fabric, Azure Databricks, or similar modern data platform technologies
• Knowledge of platform architecture, scalability, performance optimisation, and operational support
• Understanding of CI/CD, Azure DevOps, Git, and deployment automation
• Experience with monitoring, logging, observability, and incident management processes
• Knowledge of infrastructure-as-code approaches such as Terraform
• Scripting experience using technologies such as Python or PowerShell
• Ability to troubleshoot issues across networking, security, storage, identity, and integration layers
• Strong stakeholder communication skills with the ability to explain technical decisions clearly

They are a large international organisation investing heavily in their data and AI capabilities. Their newly established innovation and data team is focused on delivering data-driven products, improving business decision-making, and enabling future AI solutions.

You will join a collaborative, multidisciplinary environment where Data Engineering, Data Science, AI, and Product teams work closely together. The culture is hands-on, delivery-focused, and offers the opportunity to influence technical direction while working alongside experienced leaders in data and technology.