Lead Data Engineer – GCP Cloud Data Platform Leader

Experis - ManpowerGroup; Greater London; Hybrid; GBP 101,000 - 138,000; Full time

Job summary

Experis - ManpowerGroup is seeking a Lead Data Engineer in a hybrid London/Reading setting to guide cloud-based data platforms and CI/CD automation. You will mentor engineers while delivering secure, scalable data solutions across the enterprise.

The role focuses on GCP, Terraform IaC, BigQuery, and real-time data integration. Collaboration with architects and stakeholders is essential to drive best practices and optimise data workflows.

Qualifications

• Experience leading data engineering initiatives in cloud environments.
• Strong knowledge of GCP data services and ETL/ELT design.
• Proficiency in Python for data processing.
• Experience with IaC and CI/CD pipelines.
• Data governance, security, and compliance awareness.

Responsibilities

• Lead the design and delivery of enterprise-scale data pipelines on GCP.
• Develop and maintain ETL/ELT processes and data models.
• Design and manage infrastructure as code with Terraform.
• Build automated deployment pipelines with GitLab CI/CD.
• Optimize BigQuery datasets and analytical workloads.
• Manage Cloud Storage, Cloud SQL, Cloud Composer.
• Develop Python-based ETL automation tools.
• Mentor engineers and promote best engineering practices.
• Collaborate with architects and stakeholders to deliver secure, scalable data solutions.
• Ensure data quality, governance, security, and compliance.

Skills

Leadership

Cloud data engineering

ETL/ELT design

Python

Data modeling

CI/CD

Data governance

Tools

Terraform

GitLab CI/CD

BigQuery

Cloud Composer

Striim

Ab Initio

Job description

Experis - ManpowerGroup is seeking a Lead Data Engineer in a hybrid London/Reading setting to guide cloud-based data platforms and CI/CD automation. You will mentor engineers while delivering secure, scalable data solutions across the enterprise.

The role focuses on GCP, Terraform IaC, BigQuery, and real-time data integration. Collaboration with architects and stakeholders is essential to drive best practices and optimise data workflows.