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