Petrotechnical Data Solutions Engineer (Upstream)

Responsibilities: Support delivery of data and analytics engagements for upstream oil and gas across exploration, appraisal, development, and production Integrate, profile, and analyze upstream data (seismic, logs, drilling, reservoirs, production histories) Develop data pipelines and models linking wells, formations, reservoirs, facilities, and production measures Apply data quality, governance, metadata, and lineage practices to improve trust in data products Build analytics and AI/ML solutions for well planning, production surveillance, reservoir management, and asset performance Develop dashboards and visualizations to enable data-driven decisions Collaborate with geoscientists, engineers, data specialists, and clients to shape solutions and delivery plans Document workflows, data definitions, assumptions, and analytical findings for technical and business audiences Prepare client-ready deliverables, workshop materials, and presentations Support pursuits and proposal content; contribute to practice assets and accelerators; mentor junior practitioners

Key requirements: 4+ years of consulting or industry tech experience delivering data, analytics, and AI solutions in Energy & Chemicals 2+ years hands-on experience with upstream workflows and data standards/platforms (WITSML, PRODML, RESQML, OSDU) Experience with well, log, seismic, drilling, completion, reservoir, or production data formats and applications 4+ years with SQL and Python (or R) for data analysis and modeling 2+ years leading project workstreams or teams across multiple locations Bachelor’s degree in relevant field Ability to travel up to 50% Limited immigration sponsorship may be available Independent work style and teamwork Strong written and verbal communication Meticulous attention to detail and quality SQL and Python (or R) for data analysis Data engineering and pipeline development Data governance, metadata, and lineage practices