Data Engineer

• Design, build and own production pipelines end to end, including batch and streaming ingestion from DZ services and third-party providers
• Implement idempotent loads and safely rerunnable backfills
• Model data for the warehouse and semantic layer using tested and documented metric definitions
• Implement data quality tests, freshness SLAs, lineage and alerting
• Participate in the team's on-call
• Partner with data science to move models from notebook to production, including feature pipelines, training datasets, deployment, serving and monitoring
• Collaborate with product and engineering teams on event tracking and data contracts
• Implement access control, masking and retention for sensitive PII across markets
• Balance warehouse compute, storage and tooling costs against value
• Review AI-generated SQL and pipeline code against real data
• Mentor teammates and maintain runbooks, ADRs and documented models

Explore Senior Data Engineer at Digital Zone. Review requirements and application details.