Data Manager

Data Lead - 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