Geoscience Technologist: Data & Automation for Energy in Abingdon

Geoscience Technologist: Data & Automation for Energy in Abingdon

Abingdon Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
Halliburton

At a Glance

  • Tasks: Apply advanced geoscience interpretations to well and seismic data for energy projects.
  • Company: Join Halliburton's Landmark division, a leader in energy solutions.
  • Benefits: Competitive salary, professional development, and a collaborative work environment.
  • Other info: Dynamic team-focused environment with opportunities for growth.
  • Why this job: Make a real impact on major energy projects with cutting-edge technology.
  • Qualifications: Honours degree with MSc in Geology, plus experience in seismic interpretation and coding.

The predicted salary is between 40000 - 50000 Β£ per year.

Halliburton's Landmark division in the United Kingdom seeks a geologist to join our data-driven teams.

You will apply advanced geoscience interpretations to well and seismic data, contributing to digital twin developments and decision support for major energy projects.

Candidates should hold an honours degree with MSc in Geology, plus experience in seismic interpretation and coding in Python/SQL.

Collaboration and clear communication are essential in a team-focused environment.

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Geoscience Technologist: Data & Automation for Energy in Abingdon employer: Halliburton

Halliburton is an excellent employer, offering a vibrant work culture that fosters creativity and collaboration among its teams in Abingdon, Oxfordshire. With opportunities for professional growth and the flexibility of hybrid working arrangements, employees can thrive in one of the world's leading energy services companies while contributing to innovative projects in geoscience and data analytics.

Halliburton

Contact Details:

Halliburton Recruitment Team

We think you need these skills to ace Geoscience Technologist: Data & Automation for Energy in Abingdon

Python
Problem-Solving Skills
SQL
Communication Skills
Data Engineering
Data Pipeline Development
API Integration