Data Team Lead
Lead Engineer – Data Engineering (GCP / BigQuery)
We are looking for an experienced Lead Engineer 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