Senior Data Engineer

📋 Description

• Develop unified data platform on Databricks with Bronze/Silver/Gold via Medallion architecture.
• Build batch and real-time data pipelines from various sources in Azure using Databricks Workflows.
• Replicate data from Databricks to Snowflake and create a low-latency query endpoint.
• Establish data quality, integrity, and observability with automated checks and tests.
• Design security model, manage PII, and implement RBAC through IaC.
• Collaborate with AI engineers, analysts, and developers to deliver data products.

🎯 Requirements

• 5+ years as a data engineer, building and scaling data platforms.
• Experience with Databricks.
• ETL/ELT data migration patterns; strong proficiency in DLT.
• Experience scaling data pipelines in a multi-cloud environment.
• Strong Python proficiency.
• Strong SQL skills and relational DBMS knowledge.
• DevOps experience including CI/CD and infrastructure-as-code (Terraform).

🎁 Benefits

• Gain global experience across USA, Australia, New Zealand, UK, Canada and the Philippines.
• 4 weeks annual leave plus 5 extra "Karbon Days" off per year.
• Flexible working environment.
• Work with a high-performing team.
• Growing company promoting high performers from within.
• Collaborative culture with diversity, development, and feedback.
• Generous parental leave.