Cloud Data Engineer

In this role, you'll work across the full data lifecycle-from ingestion and transformation to governance and consumption-while partnering closely with supply chain, analytics, and global market teams. The work blends project-based cloud migration with operational data ingestion support, offering both ownership and variety.

What your day-to-day may include:

• Designing, building, and maintaining ETL/ELT data pipelines using Python and SQL
• Migrating legacy on-premise data warehouses and BI datasets to cloud platforms
• Supporting BI and data warehouse migration initiatives, including large-scale supply chain data
• Responding to and resolving data ingestion tickets from global markets
• Collaborating with analysts, data scientists, and business partners to understand data requirements
• Implementing data quality, monitoring, and reliability practices
• Leveraging modern developer tools, including AI-assisted coding tools, to improve efficiency
• Contributing to governance activities such as metadata management, tagging, and lineage tracking

This role balances heads-down engineering work with collaboration and cross-functional problem solving., Our platform serves as a single source of truth for enterprise data, delivering governed, reliable, and high-quality datasets that power:

• Operational and executive reporting
• Advanced analytics and data science initiatives
• Analytical products used across global markets

The team partners closely with center-led functional groups (ABO, Customer, Product) and Market Analytics teams worldwide. You'll join a collaborative group of experienced engineers working on high-impact modernization efforts, with opportunities to influence platform standards, tooling, and best practices while continuing to grow your technical skills.

Do you have experience in SQL?, Do you have a Bachelor's degree?, We are seeking an experienced Data Engineer to support the modernization of our enterprise data platform as we continue migrating from on-premise systems to a cloud-native architecture on Google Cloud Platform (GCP). This is a hands-on, individual contributor role focused on building scalable, reliable data pipelines that power analytics, reporting, and data products across the organization., * 2+ years of hands-on experience as a Data Engineer or similar role

• Bachelor's degree in Computer Science, Data Engineering, or a related technical field (or 5+ years of equivalent experience)
• Advanced proficiency in SQL, including query optimization and data modeling
• Strong programming experience in Python for data pipelines and automation
• Experience designing and building ETL/ELT pipelines for enterprise data platforms
• Hands-on experience with at least one cloud platform (GCP preferred; AWS or Azure acceptable)
• Experience with distributed or big-data processing frameworks (e.g., Spark, Beam, Hadoop)

Skills to Be Successful in the Role:

• Familiarity with Google Cloud Platform services such as BigQuery, Dataflow, or Dataplex.
• Experience with modern data warehousing concepts (partitioning, clustering, performance tuning).
• Exposure to orchestration tools (Airflow / Cloud Composer or similar).
• Understanding of streaming or event-driven data architectures (Pub/Sub, Kafka)
• Knowledge of data governance practices including metadata, lineage, and quality checks.
• Experience working in Agile/Scrum environments.
• Strong communication skills and ability to collaborate with technical and non-technical partners.
• Comfort navigating ambiguity and learning complex enterprise data ecosystems quickly.

The Data Engineering team is leading the transformation of our global data platform, moving from fragmented, localized, on-premise systems to a unified, cloud-native ecosystem on Google Cloud Platform.