Data Engineer - Oil & Gas

Responsibilities

• Ingest time-series data from SCADA and historians (OSIsoft PI, OPC UA) alongside ERP and production accounting sources
• Build batch and streaming pipelines on Databricks or Snowflake with Spark, Kafka and Airflow
• Model data in a medallion architecture for production, drilling and maintenance analytics
• Enforce data quality, lineage and access controls
• Work with reservoir and production engineers to turn their questions into datasets
• Optimize pipeline cost and performance
• What you bring
• 5+ years in data engineering
• Strong SQL and Python, plus Spark in production
• Experience on Azure or AWS data stacks

Languages