**Data Engineer – Data** A data engineer focused on oil and gas (O&G) onshore production, with strong hands-on experience in **production operations**, and analytical capabilities to serve as a **bridge between the operational area and Information Technology (IT/Data)**. The core objective of this role is to transform technical production knowledge into **structured information, analyses, and insights**, enabling understanding of bottlenecks, failures, and root causes related to **production stagnation or decline**, thereby supporting strategic decision-making through data and management dashboards. This is a strategic position with high impact on operational efficiency and the company’s analytical maturity. **Key Responsibilities** **Operations and Production** * Develop deep understanding of **oil and gas production processes**, including wells, surface facilities, artificial lift systems, separation, treatment, and flow assurance. * Analyze production data (oil, gas, water), operational losses, and factors affecting recovery factor. * Identify operational bottlenecks, recurring failures, and opportunities for production optimization. * Support root cause analyses related to lack of production increase, unplanned shutdowns, accelerated decline, or operational inefficiencies. **Interface with IT, Data, and Analytics** * Translate operational area needs and questions into **clear, structured data requirements** for the IT team. * Collaborate with IT to define which data must be collected, integrated, and processed (e.g., SCADA, historians, production systems, maintenance systems, etc.). * Act as the **functional product owner** for operational dashboards, reports, and dashboards. * Validate data models, KPIs, and operational metrics. * Support development of **analytical and management dashboards**, ensuring alignment with operational reality. **Analysis and Insights** * Conduct exploratory and interpretive analyses of production data. * Support definition of KPIs such as: operational efficiency, production losses, uptime, OPEX per barrel, lift efficiency, among others. * Generate actionable insights for managers and executive leadership. * Support continuous improvement initiatives, digitalization, and advanced data usage (analytics, predictive analytics, AI). **Technical Requirements** **Education** * Bachelor’s degree in **Petroleum Engineering** or **Data Engineering** (mandatory). * Postgraduate degree or specialization in Production, Reservoir Engineering, Data Analytics, or related fields (preferred). **Experience** * Solid experience in **oil and gas production engineering**. * Practical experience handling operational production data. * Experience in onshore and/or offshore environments. * Prior experience interfacing with IT, automation, data, or digital engineering teams (preferred). **Technical Knowledge** * Production systems, artificial lift, and surface facilities. * Reading and interpretation of production data and time-series data. * Operational KPIs and performance indicators. * Familiarity with SCADA systems, data historians (e.g., AVEVA PI, Ignition, etc.), and production systems (e.g., OpenWells and others). * Advanced proficiency in BI and data visualization tools (e.g., Power BI, Tableau, Grafana, or similar). * Understanding of data quality, integration, and data governance concepts (advantageous). **Behavioral Competencies** * Strong analytical ability and critical thinking. * Excellent communication skills, with ability to translate technical language for non-operational stakeholders. * Systemic vision and results orientation. * Proactivity and intellectual curiosity. * Ability to collaborate effectively with IT, operations, and management teams. * Consulting mindset and problem-solving focus. **Differentiators** * Experience in **digital transformation** or analytics projects within oil and gas. * Knowledge of industrial automation, IIoT, or edge computing. * Experience applying predictive models to production. * Experience in low-data-maturity environments, helping build data capabilities from scratch. **Expected Role Outcomes** * Greater clarity on how to present information, indicators, and improvement insights—or where major losses occur. * Reliable dashboards and analyses actively used by management. * Improved alignment between Production and IT. * Creation of a robust data foundation supporting operational and strategic decision-making. **Position Level** * Senior (5 years). ### **Employment Type:** CLT ### **Benefits:** Transportation Allowance, Meal Voucher, Life Insurance, Health Plan ### **Department:** Corporate