Data Platform Engineer

This is an excellent opportunity for a highly technical Data Platform Engineer to take ownership of a modern enterprise data platform within a newly established and well-funded R&D environment. You will play a key role in shaping platform strategy, driving technical decisions, and enabling the delivery of innovative AI and data products across the business. The Company They are a global professional services organisation investing heavily in data, AI, and innovation. Their newly established R&D function brings together specialists across Data Engineering, AI Engineering, Data Science, and Product Engineering to build data-driven solutions that create tangible business impact. Operating within a collaborative and flat team structure, they offer the opportunity to work closely with senior technical leaders while influencing the future direction of a growing data capability. The Role As a Data Platform Engineer, you will act as the technical owner of the data platform, ensuring it remains scalable, secure, and fit for future growth. Responsibilities include:

• Leading technical decisions relating to the enterprise data platform.
• Designing and overseeing scalable platform architecture across Azure technologies.
• Supporting and enabling Data Engineers to deliver reliable and efficient data solutions.
• Working closely with Infrastructure, Architecture, Security, and Network teams.
• Managing platform performance, reliability, governance, and operational excellence.
• Identifying and resolving technical challenges including performance bottlenecks and platform constraints.
• Driving best practices across platform operations, deployment processes, monitoring, and supportability.
• Contributing to the delivery of AI and data-driven products within a growing R&D environment.
• Providing hands-on expertise across cloud platforms, data services, and modern engineering practices.

• Strong commercial experience working with cloud-based data platforms.
• Deep expertise across Microsoft Azure services and modern data architectures.
• Experience making architectural decisions and communicating technical rationale to stakeholders.
• Hands-on experience designing, managing, and scaling enterprise data platforms.
• Strong understanding of platform governance, monitoring, security, and operational best practice.
• Experience with Azure Data Factory (ADF).
• Knowledge of CI/CD, infrastructure-as-code, and cloud engineering principles.
• Experience with Databricks and/or Microsoft Fabric would be beneficial.
• Exposure to Data Science or AI environments would be advantageous.
• Ability to operate strategically while remaining hands-on technically.

• Salary of £73,000 to £84,000.
• Hybrid working with 2 days per week in the Newcastle office.
• Opportunity to join a newly established and highly visible R&D function.
• Significant ownership and influence over platform strategy and technical direction.
• Exposure to cutting-edge AI, data science, and engineering initiatives.
• Collaborative, flat-structured environment with strong opportunities for professional growth and progression.