Data and Infrastructure Engineer Internship at SLB

SLB is offering a valuable Data and Infrastructure Engineer Internship opportunity for aspiring professionals in Cape Town. This program is designed to provide hands-on experience in organizing, collecting, processing, and storing data from various sources. Interns will learn to transform raw, unstructured data into usable formats for analysis, contributing to the development and maintenance of architectures such as databases, servers, and large-scale processing systems. The role also involves the design, planning, management, maintenance, and support of an organization’s cloud computing environment, including application support on company-supported clouds. This internship is an excellent entry point for individuals looking to build a career in data engineering and cloud infrastructure.

Key Responsibilities

• Provide technical support throughout the Sales and Product and Service Delivery process.

• Managing cloud environments in accordance with company security guidelines.

• Act as a focal point for gathering system requirements from application architects and owners to ensure seamless transformation and loading of data across different cloud vendors.

• Responsible for Data loading, data migration, and data retrieval.

• Serve as a customer advisor on data governance, policies, roles, and dataflow.

• Responsible for assembling large, complex sets of data that meet non-functional and functional business requirements.

• Perform data mapping and data quality control for one to multiple data sources.

• Run assessments of the company's data and infrastructure environment with proposed improvements and recommendations.

• Work with stakeholders, including data and design teams, and assist them with data-related technical issues.

• Utilize API knowledge to design RESTful services and integrate them with existing data providers using JSON or XML.

• Maintain existing company databases with a working knowledge of SQL and NoSQL, and related data stores.

• Responsible for debugging technical issues within a complex stack involving virtualization, containers, microservices, etc.

• Collaborate with engineering teams to ensure digital applications run correctly and efficiently on cloud infrastructure.

• Work with OpenStack, Linux/UNIX, Rackspace, Docker, and Microsoft Azure as applicable.

• Handle incoming incidents and change requests as a first line of support.

• Responsible for operating, designing, developing, testing, and implementing infrastructure systems and hardware with automation in mind.

• Responsible for maintaining accurate and up-to-date documentation on all activities.

• Responsible for installing and configuring IOT Agora solutions, including infrastructure, network setup, and SDK implementation.

• Maintain and support existing on-premises applications from licensing, installation, and configuration perspectives.

• Responsible for gathering/developing experience working on OSDU community code and Enterprise Data Management (EDM) workflows.

Why Join the Company

Joining SLB for this internship offers a unique opportunity to gain exposure to cutting-edge technologies in the energy and technology sectors. You will work in a dynamic environment that fosters learning and professional growth. SLB is committed to developing talent and provides a supportive culture where interns can contribute meaningfully and build a strong foundation for their future careers. Interns will have the chance to work on real-world projects, collaborate with experienced professionals, and develop critical skills in data engineering, cloud computing, and infrastructure management.

How to Apply

Interested candidates are invited to apply directly via the SLB careers portal. Please use the following link to submit your application:

Click here to apply for this role

• Bachelor's or Master’s Degree in Computer Science, Information Technology, Software Engineering, Data Science, Information Systems, Computer Engineering, or a related field.

• 0 - 2 years' relevant experience, including internships, industrial attachments, academic projects, or graduate trainee programs.

• Basic understanding of cloud computing technologies.

• Knowledge of SQL databases and data management concepts.

• Exposure to Linux/UNIX environments.

• Familiarity with programming or scripting languages such as Python, Java, C#.

• Understanding of APIs, REST services, JSON, and XML.

• Strong analytical, problem-solving, and communication skills.

• Experience gained through internships, university projects, hackathons, or research initiatives related to cloud, data, or infrastructure engineering.

• Exposure to data engineering and infrastructure support.

• Demonstrated ability to work effectively in a collaborative team environment.