Senior Data Engineer

📋 Description

• Design and build a scalable customer data mart that consolidates loyalty attributes, wishlist and
• Set up real-time data streaming between backend systems, the CDP (Zeotap) and the CEP (Responsys).
• Build and maintain robust backend APIs that give product teams access to customer data for
• Model and transform data in BigQuery and Dataform, and orchestrate pipelines with Cloud Workflows
• Manage infrastructure as code with Terraform and ship through CI/CD pipelines in GitHub Actions.

🎯 Requirements

• Expert Python and SQL skills in production data engineering.
• Hands-on experience with GCP data services, in particular BigQuery, Pub/Sub, Cloud Run and Cloud
• Experience with Dataform, Datastore, Cloud Workflows, Eventarc and Cloud Scheduler.
• Experience building real-time or event-driven data pipelines.
• Experience designing data models and data marts for analytical and operational use.
• Experience building REST APIs in Python, ideally with Flask.

🎁 Benefits

• Physical Wellbeing: medical benefits, gym support, personalised fitness options, team events
• Work-Life Fusion: one-size-fits-one approach for work-life dynamic.
• Emotional Wellbeing: investment in mental wellbeing.
• Social Wellbeing: hybrid environment with connections through passions and interests.