Hybrid Subsurface Data Engineer - QA & Automation

Placements24; Sandton; Hybrid; ZAR 720,000 - 1,100,000; Full time

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

PowerShell

Data quality

Communication

Education

Bachelor's degree in Computer Science/Engineering/Geoscience

Tools

SQL Server

Oracle

Subsurface software

Job description

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