Overview
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
Responsibilities
* 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
Qualifications
* 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
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