Subsurface Data Engineer

Placements24; Sandton; Híbrido; ZAR 720.000 - 1.100.000; Jornada completa

Descripción de la vacante

Placements24 seeks a Subsurface Data Engineer in Sandton to manage and improve subsurface data assets across seismic, well logs, core and production data. You will implement QA/QC, build data workflows, and support geologists, geophysicists and reservoir engineers with reliable data for interpretation and modeling.

The role blends on-site collaboration with remote data processing, requiring strong database skills, scripting ability, and a pragmatic, data-driven mindset to drive efficiency and

Formación

• Bachelor's degree in Computer Science, Geoscience, Engineering, or related field.
• 4+ years of subsurface data management experience in Oil & Gas.
• Proficient with database systems (SQL Server, Oracle).
• Experience with data management software and platforms for O&G.
• Familiar with LAS and SEG-Y formats.
• Scripting in Python or PowerShell for automation.
• Strong data quality knowledge and analytical skills.
• Ability to work in a hybrid environment and collaborate effectively.

Responsabilidades

• Manage subsurface databases (seismic, well logs, core, production data).
• Implement QA/QC procedures for data quality.
• Develop data workflows for ingestion, processing and distribution.
• Support subsurface teams with reliable data access.
• Create scripts/tools to automate data tasks.
• Ensure data security, integrity and accessibility.
• Evaluate new subsurface data management technologies.
• Prepare data reports and documentation.
• Support data loading into interpretation/modeling software.

Conocimientos

SQL

Python

PowerShell

Data quality

Communication

Educación

Bachelor's degree in Computer Science/Engineering/Geoscience

Herramientas

SQL Server

Oracle

Subsurface software

Descripción del empleo

About the Role

Our client, a forward-thinking exploration and production company operating in the Oil & Gas sector, is seeking a skilled Subsurface Data Engineer to join their team in Sandton. This role is pivotal in managing, integrating, and ensuring the quality of the vast amounts of subsurface data generated from exploration and production activities. You will be responsible for developing and maintaining robust data management systems, implementing data quality control processes, and supporting subsurface teams (geologists, geophysicists, reservoir engineers) with reliable and accessible data. This is a hybrid role, offering the convenience of remote work for data processing and analysis, alongside essential on-site collaboration to understand team needs and ensure seamless integration. The ideal candidate will possess a strong technical background in data management, databases, and relevant software, combined with an understanding of subsurface workflows. We are looking for an organized, detail-oriented individual who can ensure data integrity and enhance the efficiency of subsurface decision-making. Your contribution will be critical in enabling effective subsurface characterization and resource development. The company values data-driven insights and provides a supportive environment for technical growth.

Key Responsibilities

• Manage and maintain subsurface databases (seismic, well logs, core, production data).
• Implement and enforce data quality assurance and quality control (QA/QC) procedures.
• Develop and manage data workflows for data ingestion, processing, and distribution.
• Collaborate with subsurface disciplines to understand their data requirements and provide support.
• Develop scripts and tools to automate data management tasks.
• Ensure data security, integrity, and accessibility.
• Assist in the evaluation and implementation of new subsurface data management technologies.
• Prepare data reports and documentation.
• Support data loading into interpretation and modeling software.

Requirements

• Bachelor's degree in Computer Science, Geoscience, Engineering, or a related field with a strong data focus.
• Minimum of 4 years of experience in subsurface data management within the Oil & Gas industry.
• Proficiency in database management systems (e.g., SQL Server, Oracle).
• Experience with data management software and platforms relevant to the O&G sector.
• Familiarity with common subsurface data types and formats (e.g., LAS, SEG-Y).
• Skilled in scripting languages (e.g., Python, PowerShell) for data manipulation and automation.
• Strong understanding of data quality principles.
• Excellent problem-solving and analytical skills.
• Ability to work effectively in a hybrid environment.
• Good communication and teamwork skills.

Benefits

• Competitive salary and benefits package.
• Flexible hybrid working model.
• Opportunity to work with cutting-edge subsurface data technologies.
• Contribute to a dynamic E&P company.
• Professional development and training.
• Collaborative team environment.