Summary: The Data Engineer role focuses on migrating and re-architecting existing SAS data pipelines into a Google Cloud Platform (GCP) architecture. This hands-on position requires collaboration with SAS experts and involves building scalable, secure, and reliable cloud-native data pipelines. The project is time-sensitive, with a fixed delivery deadline, and aims to enhance the organization's data capabilities. Candidates should have significant experience in data engineering and cloud migration, particularly with SAS and GCP.

Key Responsibilities:

• Migrate and re-architect existing SAS data pipelines into GCP using tools like dbt, Airflow, BigQuery, and Dataflow
• Collaborate with SAS experts to extract, validate and transform business-critical data
• Build and optimise scalable, secure, and reliable cloud-native data pipelines
• Work with version control, scheduling, and orchestration tools (e.g. Git, Airflow, Terraform)
• Support quality assurance and validation throughout the migration lifecycle

Key Skills:

• Deep experience in data engineering and cloud migration, ideally with exposure to both SAS and GCP
• Fluency in SQL and Python
• Experience with tools like dbt, Airflow, BigQuery, and Databricks
• Understanding of legacy data systems and mapping them into cloud-native architecture
• Ability to work independently in a delivery-driven environment

Salary (Rate): undetermined

City: Greater London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT