Digital Twin Simulation Engineer Job Vacancy in Gulu, Uganda – Oil & Gas Services

Job Description

Position: Digital Twin Simulation Engineer

Company: Schlumberger Uganda

Location: Gulu, Uganda

Experience: 5+ years in simulation engineering, preferably in oil & gas or related sectors

Education: Bachelor’s degree in Mechanical Engineering, Computer Science, or related field; Master’s preferred

Employment Type: Full-time

Industry: Oil & Gas Services

Department: Engineering

Salary: SSP 2,500,000 – 4,000,000 per month

Vacancies:1

Company Overview

Schlumberger is a world‑leading provider of technology, integrated project management and information solutions to the oil and gas industry. With a strong presence in Uganda, Schlumberger Uganda delivers cutting‑edge services that support exploration, production and sustainability initiatives across the region. The company’s commitment to innovation, safety and community development makes it a premier employer for professionals seeking challenging careers in the energy sector. As part of its growth strategy, Schlumberger Uganda continuously invests in advanced digital solutions, creating a vibrant environment for talent to thrive. This role contributes directly to the company’s vision of leveraging digital twins to optimize asset performance, reduce operational risk and enhance environmental stewardship, aligning with broader national goals for energy security and economic development.

Job Overview

The Digital Twin Simulation Engineer will design, develop and maintain high‑fidelity digital replicas of oilfield assets, enabling real‑time monitoring, predictive analytics and scenario testing. Working closely with multidisciplinary teams, you will translate complex physical processes into virtual models that support decision‑making across drilling, production and maintenance operations. This position offers a unique opportunity to apply cutting‑edge simulation technologies in a fast‑growing market, contributing to Uganda’s energy landscape while advancing your career in a globally recognized organization. For more information about our digital initiatives, visit https://ugandajobssearch.com/.

Key Responsibilities

• Develop and validate digital twin models for wells, pipelines and processing facilities using industry‑standard software.
• Integrate real‑time sensor data, historical performance records and engineering specifications into simulation environments.
• Collaborate with drilling engineers, reservoir specialists and operations teams to ensure model accuracy and relevance.
• Perform scenario analysis to predict equipment wear, fluid dynamics and production forecasts.
• Generate actionable insights and visualizations for senior management and field operators.
• Maintain documentation, version control and knowledge‑base articles for all digital twin assets.
• Support continuous improvement by evaluating emerging simulation tools and recommending upgrades.

Required Skills

• Proficiency in simulation platforms such as ANSYS, MATLAB, SimScale or equivalent.
• Strong programming skills in Python, C++ or Java for model development and data integration.
• Experience with IoT data streams, OPC-UA, and cloud‑based analytics platforms.
• Solid understanding of oilfield equipment, fluid mechanics and thermodynamics.
• Excellent problem‑solving abilities and attention to detail.
• Effective communication skills for cross‑functional collaboration.
• Ability to work independently and manage multiple projects under tight deadlines.

Education

A Bachelor’s degree in Mechanical Engineering, Computer Science, Electrical Engineering or a related discipline is required. A Master’s degree or relevant certifications in simulation, data analytics or digital twin technologies is highly desirable and will be considered an advantage during the selection process.

Experience

Applicants must have a minimum of five years of hands‑on experience developing and deploying simulation models in the oil & gas sector or a closely related industry. Experience with cloud platforms (AWS, Azure) and data visualization tools (Power BI, Tableau) will strengthen your application.

Salary

The competitive remuneration package ranges from SSP 2,500,000 to SSP 4,000,000 per month, commensurate with experience, qualifications and performance. Additional performance‑based incentives may be offered.

Benefits

• Comprehensive health insurance covering employee and dependents.
• Retirement savings plan with employer contributions.
• Annual leave, sick leave and paid public holidays in accordance with Ugandan labor law.
• Professional development allowance for certifications and conferences.
• Relocation assistance for candidates moving to Gulu.
• Employee assistance program and wellness initiatives.

Training

• On‑boarding program covering Schlumberger’s safety culture, digital twin framework and corporate values.
• Access to internal learning platforms and external courses on advanced simulation, AI and data analytics.
• Mentorship from senior engineers and participation in cross‑functional project teams.

Working Environment

Schlumberger Uganda offers a collaborative, safety‑first workplace that blends office‑based analysis with field exposure. Our Gulu office is equipped with modern workstations, high‑speed connectivity and dedicated labs for model testing. Employees enjoy a multicultural environment that encourages innovation, knowledge sharing and career progression.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online portal on our website. Applications will be reviewed on a rolling basis, and shortlisted candidates will be contacted for a virtual interview followed by an on‑site technical assessment.

Equal Opportunity Statement

Schlumberger Uganda is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, ethnicity, disability, religion or sexual orientation. All qualified applicants will receive consideration for employment without discrimination.