Data Engineer

Job Overview

We are hiring Data Engineer with strong GCP expertise to build reliable data pipelines and support analytics platforms for our GCC client — Europe’s top retail brand. The role focuses on implementing scalable ETL processes and contributing to modern cloud-based data architectures. Experience with Azure Data Factory (ADF) is a plus. This opportunity gives you exposure to enterprise-scale initiatives in retail and supply chain, working alongside a peer group of talented engineers, architects, and domain specialists across geographies in a collaborative, innovation-driven environment. It’s a role that not only sharpens your technical expertise but also provides long-term visibility and growth within a global organization.

Key Responsibilities

• Develop and maintain ETL/ELT pipelines on GCP.
• Work with BigQuery datasets for transformation and analytics workloads.
• Implement batch and near real-time data ingestion pipelines.
• Collaborate with senior engineers and architects to implement best practices.
• Monitor data pipelines and ensure data quality and reliability.
• Support BI and analytics teams with curated datasets.

Requirements & Skills

• 2-4 years of experience in Data Engineering.
• Hands-on experience with Google Cloud Platform (GCP): BigQuery, Dataflow or Dataproc, Cloud Storage
• Strong proficiency in Python and SQL.
• Experience building ETL pipelines and working with structured/unstructured data.
• Familiarity with Airflow or Cloud Composer.
• Understanding of data warehousing concepts.
• Experience with Azure Data Factory (ADF).
• Knowledge of Spark or PySpark.
• Exposure to Git, CI/CD pipelines, and Agile workflows.
• Understanding of streaming concepts (Pub/Sub or Kafka).
• Strong analytical and problem-solving mindset.
• Good communication and collaboration skills.
• Willingness to learn new cloud technologies.