At a Glance
- Tasks: Lead a dynamic Data Engineering team to build scalable data solutions on Google Cloud Platform.
- Company: Join a forward-thinking company focused on innovative data management.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a fast-paced, supportive environment.
- Why this job: Make a real impact by delivering high-performance data platforms for global clients.
- Qualifications: Experience with GCP, BigQuery, and cloud architecture is essential.
The predicted salary is between 60000 - 80000 £ per year.
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
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
