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ABOUT OUR CLIENT
Our Client is a leading private equity firm with a portfolio of upstream gas production companies. By combining petroleum engineering expertise with advanced data analytics, artificial intelligence (AI), and machine learning (ML), Our Client is driving the digital transformation of upstream operations. With a diverse set of assets and a strong focus on innovation, this role provides the opportunity to shape the future of gas production and forecasting through cutting-edge technology.
ABOUT THE ROLE The Petroleum Data Engineer will play a critical role in leveraging data to solve complex engineering challenges, optimize production, and drive operational efficiency across portfolio companies. This individual will build innovative data products, develop and deploy AI/ML models, automate workflows, and collaborate with engineering teams to unlock new insights. The role is ideal for a professional passionate about merging petroleum engineering expertise with modern data science to deliver measurable business impact.
RESPONSIBILITIES Develop, optimize, and maintain data pipelines to automate upstream gas production and forecasting workflows Implement scalable data solutions to support monitoring, reservoir management, and efficiency initiatives Integrate structured and unstructured data from sensors, logs, and well data into production systems Design and deploy AI/ML models for production forecasting, reservoir simulation, and failure prediction Analyze historical and real-time production data to identify trends and optimization opportunities Collaborate with domain experts to align AI/ML models with engineering principles and field use cases Build and deploy data products in partnership with digital and engineering teams across portfolio companies Serve as a technical advisor to portfolio companies on data analytics and digital transformation initiatives Develop user-friendly dashboards and interfaces for data visualization and stakeholder engagement Ensure data quality, accuracy, and consistency across all pipelines and products Implement governance policies to secure sensitive production data and meet industry regulations Stay current with emerging technologies in petroleum data analytics, AI, and ML to drive innovation
QUALIFICATIONS Bachelors, Masters, or PhD in Petroleum Engineering, Data Science, Computer Science, or related field Five or more years of experience in upstream oil and gas, with a focus on gas production and forecasting Proven track record applying AI and ML to solve petroleum engineering challenges Proficiency in Python, R, or similar programming languages for data analytics and ML Hands-on experience with frameworks such as TensorFlow, PyTorch, or scikit-learn Strong understanding of upstream workflows, including reservoir simulation and optimization Experience with cloud platforms such as Azure, AWS, or Google Cloud, and tools like Databricks or Synapse Ability to build dashboards and visualizations using Power BI, Spotfire, or similar platforms
PREFERRED QUALIFICATIONS Knowledge of digital oilfield technologies, IoT integration, and real-time data processing Experience with data governance frameworks and tools such as Microsoft Purview Familiarity with industry datasets and platforms including Enverus or IHS
SOFT SKILLS Strong problem-solving abilities and innovative mindset Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders Collaborative approach to working across diverse teams and organizations
WHAT YOU WILL ACHIEVE Deliver data-driven solutions that optimize gas production and forecasting across portfolio companies Enable portfolio companies to adopt AI/ML and advanced analytics as a competitive advantage Contribute to the digital transformation of upstream operations, shaping the future of the energy industry
ABOUT THE ROLE The Petroleum Data Engineer will play a critical role in leveraging data to solve complex engineering challenges, optimize production, and drive operational efficiency across portfolio companies. This individual will build innovative data products, develop and deploy AI/ML models, automate workflows, and collaborate with engineering teams to unlock new insights. The role is ideal for a professional passionate about merging petroleum engineering expertise with modern data science to deliver measurable business impact.
RESPONSIBILITIES Develop, optimize, and maintain data pipelines to automate upstream gas production and forecasting workflows Implement scalable data solutions to support monitoring, reservoir management, and efficiency initiatives Integrate structured and unstructured data from sensors, logs, and well data into production systems Design and deploy AI/ML models for production forecasting, reservoir simulation, and failure prediction Analyze historical and real-time production data to identify trends and optimization opportunities Collaborate with domain experts to align AI/ML models with engineering principles and field use cases Build and deploy data products in partnership with digital and engineering teams across portfolio companies Serve as a technical advisor to portfolio companies on data analytics and digital transformation initiatives Develop user-friendly dashboards and interfaces for data visualization and stakeholder engagement Ensure data quality, accuracy, and consistency across all pipelines and products Implement governance policies to secure sensitive production data and meet industry regulations Stay current with emerging technologies in petroleum data analytics, AI, and ML to drive innovation
QUALIFICATIONS Bachelors, Masters, or PhD in Petroleum Engineering, Data Science, Computer Science, or related field Five or more years of experience in upstream oil and gas, with a focus on gas production and forecasting Proven track record applying AI and ML to solve petroleum engineering challenges Proficiency in Python, R, or similar programming languages for data analytics and ML Hands-on experience with frameworks such as TensorFlow, PyTorch, or scikit-learn Strong understanding of upstream workflows, including reservoir simulation and optimization Experience with cloud platforms such as Azure, AWS, or Google Cloud, and tools like Databricks or Synapse Ability to build dashboards and visualizations using Power BI, Spotfire, or similar platforms
PREFERRED QUALIFICATIONS Knowledge of digital oilfield technologies, IoT integration, and real-time data processing Experience with data governance frameworks and tools such as Microsoft Purview Familiarity with industry datasets and platforms including Enverus or IHS
SOFT SKILLS Strong problem-solving abilities and innovative mindset Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders Collaborative approach to working across diverse teams and organizations
WHAT YOU WILL ACHIEVE Deliver data-driven solutions that optimize gas production and forecasting across portfolio companies Enable portfolio companies to adopt AI/ML and advanced analytics as a competitive advantage Contribute to the digital transformation of upstream operations, shaping the future of the energy industry