HoneyWell

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"><html><body><table> <tbody> <tr> <td>Roles & Responsibilities </td> <td> We are seeking a results-driven Process Engineering & Automation Engineer to enhance refinery processes through advanced simulation tools and hydrocarbon accounting systems integration.    This role is critical for improving energy efficiency, minimizing operational waste, and ensuring the accuracy of material and energy balances through robust data validation and reconciliation practices.    As a key contributor, you will drive process improvements, implement real-time monitoring solutions, and ensure the integrity of production data, ultimately enabling more efficient and flexible refinery operations.   Hydrocarbon Accounting (Data Validation & Reconciliation): <ul> <li>Implement and manage hydrocarbon accounting systems, such as Belsim Vali, to accurately track and validate material flows throughout the refinery. This includes establishing protocols for data collection, validation, and reporting to ensure compliance with industry standards and regulations.</li> <li>Perform comprehensive reconciliations of operational data with financial and production reports, addressing any discrepancies and ensuring that all mass and energy balances are accurately recorded. This process is crucial for maintaining the integrity of financial reporting and operational performance metrics.</li> <li>Work closely with accounting and finance teams to ensure that production data aligns with financial reports, facilitating accurate forecasting and budgeting processes.</li> </ul>   Data Analysis and Process Improvements: <ul> <li>Analyze process data to identify trends, inefficiencies, and opportunities for improvement. Utilize statistical and computational methods to assess process performance and develop actionable recommendations.</li> <li>Lead initiatives aimed at optimizing energy consumption and improving process efficiency, focusing on minimizing downtime and maximizing throughput. This may involve implementing new technologies or refining existing processes based on data-driven insights.</li> <li>Conduct regular reviews of data validation and reconciliation processes to identify areas for enhancement, ensuring continuous improvement in material balance accuracy and operational reliability.</li> </ul></td> </tr> </tbody> </table></body></html>

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