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Senior Data Engineer - Data Governance & DataOps - Pattison Food Group
Data Engineer
Senior Data Engineer leading enterprise‑wide data quality measurement, monitoring, and automation. Designs, builds, and operationalizes data pipelines using Python, SQL, Snowflake and Airflow while establishing governance frameworks and supporting DataOps practices.
About the role
Key Responsibilities
- Design and implement enterprise‑wide data quality measurement and monitoring solutions.
- Lead the development, deployment, and maintenance of scalable data pipelines using Python, SQL, Snowflake and Apache Airflow.
- Establish and enforce data governance policies, standards, and metadata management across the organization.
- Collaborate with data architects, analysts, and business stakeholders to translate requirements into robust data solutions.
- Automate data validation, testing, and CI/CD processes to support DataOps initiatives.
- Mentor junior engineers and promote best practices for data engineering, security, and compliance.
Requirements
- 5+ years of hands‑on experience in data engineering, with a focus on data quality, governance, and operationalization.
- Proficiency in Python and SQL for building and optimizing data pipelines.
- Strong experience with cloud data warehouses (e.g., Snowflake) and workflow orchestration tools such as Apache Airflow.
- Demonstrated knowledge of data governance frameworks, metadata management, and data lineage tracking.
- Excellent problem‑solving skills, ability to work cross‑functionally, and a track record of delivering production‑grade data solutions.