Build cloud data platforms with Databricks, Azure Data Services, and DataOps practices as a Senior Azure Data Engineer for HM. Design scalable pipelines and integrations supporting up-to-date data environments.

This senior data engineering position focuses on implementing and supporting cloud-based data platforms and services. You will develop ETL and ELT processes, apply deployment automation, testing, monitoring, and operational support, and enable metadata, lineage, and data quality. The work includes collaboration with architects, modellers, and governance teams.

Key Responsibilities

Design and support cloud-based data platforms and services

Develop scalable ETL, ELT, and integration solutions

Implement DataOps automation, testing, monitoring, and support





Enable metadata collection, lineage, and data quality

Support migration, interoperability, and reusable data services

Requirements

Experience with Databricks, Delta Lake, and Databricks SQL

Knowledge of Medallion Architecture

Experience with Azure Data Services and Azure Data Factory

Experience with Informatica or equivalent integration platforms

Strong analytical, organizational, and communication skills

Apply cloud data engineering expertise across Databricks, Azure, scalable pipelines, metadata, lineage, and DataOps automation for HM.

📌 Senior Azure Data Engineer DataOps (Winnipeg)
🏢 FlexStaf IT
📍 Winnipeg