Data Manager

Data Manager - GCP 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 Skills and Experience 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