About the role

Data Engineer building and maintaining data platforms for Alberta's energy infrastructure. Responsible for managing data quality and evolving data architecture in a hybrid work environment.

Responsibilities

Design, build, and maintain ETL and ELT pipelines in Databricks and Delta Lake.
Manage batch and near-real-time ingestion from operational and enterprise systems.
Build reliable APIs, connectors, and integrations that do not silently fail when source systems change.
Clean, standardize, validate, and define data during ingestion.
Implement automated data-quality checks, monitoring, and alerts.
Diagnose pipeline failures, resolve root causes, and prevent recurring issues.
Build and evolve Enfinite’s Bronze and Silver architecture.
Design schemas and data models that can scale across additional sites and asset types.
Document data lineage, architecture, integrations, and dependencies.
Apply data-governance, access-control, security, metadata, and cataloguing standards.

A bachelor’s degree in computer science, data engineering, electrical engineering, or a related field.
At least three years of hands-on data engineering experience.
Strong Python skills, including pandas, PySpark, or similar technologies.
Hands-on experience with Databricks, Delta Lake, notebooks, and job orchestration.
Strong SQL and data-modelling skills.
Experience building and supporting production data pipelines.
Knowledge of data quality, lineage, access control, metadata, and governance.
Understanding of medallion architecture and Bronze, Silver, and Gold data layers.
Comfort taking ownership when a pipeline breaks.