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We are seeking a Data Engineer with 3 to 6 years of experience to join our team at VOIS. This role focuses on designing, developing, and maintaining scalable data pipelines and cloud-based data platforms using Google Cloud Platform (GCP) services. The individual will work closely with cross-functional teams to translate data requirements into reliable, high‑performance data solutions while ensuring data quality, integrity, and operational stability.
Job Responsibility
Design, develop, test, and maintain scalable data pipelines and supporting software systems
Collaborate with cross-functional teams to gather, analyse, and understand data requirements
Implement and manage ETL processes using tools such as Ab Initio or Oracle Data Integrator (ODI)
Work with GCP services including BigQuery, Dataproc, Data Fusion, and Cloud SQL
Write, optimise, and maintain SQL queries for efficient data extraction and transformation
Ensure data quality, integrity, and performance across data platforms and systems
Monitor, troubleshoot, and resolve data workflow and system issues to maintain reliability
Requirements
4–7 years of experience in data engineering or related roles
Proficient in GCP services, including BigQuery, Dataproc, Data Fusion, and Cloud SQL
Hands-on experience with ETL tools such as Ab Initio or Oracle Data Integrator (ODI)
Strong knowledge of Unix and SQL, with exposure to Teradata environments
Working knowledge of Python is an advantage
Strong problem-solving capability with close attention to detail
An effective communicator who collaborates well within diverse teams
Nice to have
Working knowledge of Python
What we offer
Opportunity to work on large-scale, cloud-native data platforms within a global organisation
Exposure to modern GCP-based data engineering technologies and enterprise ETL environments
Collaboration with cross-functional and international teams across Vodafone markets
A supportive environment focused on continuous learning, improvement, and inclusion