About the Role We are urgently seeking an experienced Senior Data Engineer for a 6-month contract to lead critical Databricks to Snowflake migration and data platform modernization initiatives. This is a high-priority contract role requiring immediate availability. Key Responsibilities Design, develop, and optimise Azure Data Factory (ADF) pipelines for ingestion, transformation, and orchestration. Lead end-to-end Databricks to Snowflake migration projects (code conversion, performance tuning, cost optimisation & validation). Implement advanced Snowflake features (Snowpark, Dynamic Tables, Streams & Tasks, RBAC, Resource Monitors, etc.). Develop containerised data workloads using Docker + Kubernetes . Ensure pipelines are production-grade, scalable, observable, and cost-efficient. Collaborate with stakeholders and mentor team members.



Must-Have Skills & Qualifications Solid hands-on experience with Azure Data Factory (ADF) – Pipelines, Mapping Data Flows, Linked Services, CI/CD. Proven expertise in Databricks (Spark, Delta Lake) and successful Databricks Snowflake migrations. SnowPro Core or SnowPro Advanced certification (highly preferred). Solid experience in Containerisation – Docker, Kubernetes, Helm. Advanced SQL, Python, and PySpark skills. Excellent communication & stakeholder management skills. Citizen or Permanent Resident (PR) only – No sponsorship available. Must be able to join within 15 days (Immediate joiners preferred).

📌 Senior Data Engineer – ADF | Databricks to Snowflake(Contract) (Victoria)
🏢 The HR Ally
📍 Victoria