Data Engineer, Digital Systems

EnfiniteCalgary, AB
Hybrid

About The Position

Build the data foundation behind Alberta’s evolving energy infrastructure. Enfinite is looking for a hands-on Data Engineer to build and maintain the data platform supporting decisions across our battery energy storage and power-generation portfolio. You will own the Bronze and Silver layers of our Databricks lakehouse, ensuring operational, financial, market, and business data is reliably ingested, cleaned, defined, secured, and ready to use.

Requirements

  • 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.

Nice To Haves

  • Power, utilities, renewable energy, or another asset-intensive industry.
  • SCADA, historian, telemetry, or operational technology data.
  • Microsoft Azure, Fabric, or Power BI.
  • Databricks or Azure data-engineering certifications.

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.

Benefits

  • Health and wellness spending account
  • Hybrid Flexible Work Program
  • Training and development opportunities
  • Volunteer initiatives and team-building events
  • Opportunities to support a more reliable and resilient energy future
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