Data Manager

We are looking for an experienced Data Manager to lead a high-performing Data Engineering team building scalable data and reporting platforms used by global stakeholders. In this role, you will guide the development of high-throughput, database-centric applications that process and deliver critical operational data at scale. Working within a cloud-first architecture on Google Cloud Platform (GCP), you will play a key role in designing and delivering modern data solutions using BigQuery and distributed systems. You will lead a geographically distributed team and collaborate with stakeholders across the business to deliver reliable, high-performance data platforms that support a global client base. This role is eligible for hybrid working in the North West or Midlands About the Team The Data Engineering team builds and maintains large-scale data systems designed for performance, reliability, and efficiency. Our platform includes:

• Google Cloud Platform (GCP) architecture
• BigQuery data warehousing
• High-throughput distributed applications
• Batch data processing pipelines
• Integration with REST and SOAP APIs
• Windows and web services
• Web-based applications and reporting platforms

As Lead Engineer, you will drive technical delivery while helping evolve the team's cloud and data capabilities. What You'll Be Doing

• Leading and mentoring a geographically distributed Data Engineering team
• Driving the development of cloud-based data and reporting solutions on GCP
• Owning the delivery of scalable data platforms that support global operations
• Supporting the adoption of AI tools and automation to enhance engineering workflows
• Collaborating with stakeholders across multiple departments to prioritise and deliver projects
• Managing technical risks, issues, and cross-team dependencies
• Improving engineering practices, processes, and delivery efficiency
• Ensuring high standards of system performance, scalability, and reliability

• Strong experience with Google Cloud Platform (GCP) and BigQuery
• Deep understanding of cloud architecture and distributed data systems
• Commercial database development experience using SQL Server, T-SQL, BigQuery or GoogleSQL
• Experience implementing data platforms, reporting systems, or large-scale data pipelines
• Experience working with AI tools to improve development workflows
• Experience designing and implementing cloud-native solutions
• Experience working with large-scale global data platforms is advantageous