SLB Graduate Data and Infrastructure Engineer 2026: Entry-Level Technology Opportunity in Cape Town
SLB is hiring a Graduate Data and Infrastructure Engineer in Cape Town, offering graduates in IT, Computer Science, Data Science and related fields an opportunity to build experience in cloud, data and infrastructure engineering.
SLB Opens Graduate Data and Infrastructure Engineer Opportunity in Cape Town
SLB is inviting talented graduates to apply for its Graduate Data and Infrastructure Engineer position in Cape Town, South Africa.
The opportunity is aimed at early-career technology professionals who want to develop practical experience across data engineering, cloud infrastructure, databases, application support and digital technologies.
The role is particularly suited to graduates with backgrounds in Computer Science, Information Technology, Software Engineering, Data Science, Information Systems, Computer Engineering or a related discipline.
With an experience requirement of 0–2 years, the position provides an entry point for candidates whose experience may have been gained through internships, industrial attachments, university projects, hackathons, research initiatives or graduate programmes.
About SLB
SLB is a global technology company focused on developing solutions for the energy sector and supporting energy innovation.
The company operates internationally while emphasizing local talent development and professional growth. SLB also promotes a diverse and inclusive workplace, stating that innovation and success are strengthened by differences in backgrounds, experiences and perspectives.
For graduates joining the organization, the role can therefore provide exposure to a global technology environment and opportunities to collaborate with professionals from different disciplines and locations.
What the Graduate Data and Infrastructure Engineer Will Do
The Graduate Data and Infrastructure Engineer will work across several interconnected areas of technology.
A central responsibility will involve organizing, collecting, processing and storing data from multiple sources and transforming raw or unstructured information into usable formats for analysis.
The engineer will also contribute to technologies and architectures such as databases, servers and large-scale processing systems.
On the infrastructure side, the role will support the design, planning, management, maintenance and operation of cloud computing environments and applications hosted on company-supported cloud platforms.
This combination makes the position broader than a traditional data engineering role, with responsibilities spanning data, infrastructure, cloud technologies and technical support.
Cloud and Infrastructure Responsibilities
Cloud computing will be an important part of the position.
The successful candidate will help manage cloud environments in accordance with company security guidelines and collaborate with engineering teams to ensure digital applications operate efficiently on cloud infrastructure.
The role may involve working with technologies including Microsoft Azure, OpenStack, Linux/UNIX, Rackspace and Docker.
The engineer will also assist with infrastructure systems and hardware, with an emphasis on automation.
Candidates will therefore have opportunities to develop practical knowledge of cloud infrastructure, virtualization, containers and modern technology environments.
Data Engineering and Management
The position includes significant data-related responsibilities.
The Graduate Data and Infrastructure Engineer will be expected to handle data loading, data migration and data retrieval, while assembling complex datasets that meet both functional and non-functional business requirements.
The role will also involve data mapping and data quality control across one or more data sources.
A working knowledge of SQL and NoSQL databases will be important, as the engineer will help maintain existing databases and related data stores.
The successful candidate will also provide guidance to customers and stakeholders on data governance, policies, roles and data flows.
APIs and Application Integration
Another technical component of the position involves application integration.
The engineer will use knowledge of APIs and RESTful services to design and integrate services with existing data providers.
Understanding technologies such as JSON and XML will help the successful candidate work with data exchanged between different applications and systems.
This experience can be particularly valuable for graduates seeking careers in data engineering, backend development, cloud engineering or systems integration.
Technical Support and Troubleshooting
The role also includes a substantial technical support component.
The Graduate Data and Infrastructure Engineer will provide technical support throughout the Sales and Product and Service Delivery process and handle incoming incidents and change requests as part of first-line support.
The engineer will be expected to troubleshoot technical problems within complex technology stacks involving areas such as virtualization, containers and microservices.
The role will also involve supporting existing on-premises applications, including licensing, installation and configuration.
Strong analytical and problem-solving skills will therefore be essential.
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IoT and Digital Technologies
The position also provides exposure to Internet of Things (IoT) technologies.
The successful candidate will be responsible for installing and configuring IoT Agora solutions, including infrastructure, network setup and SDK implementation.
This provides graduates with an opportunity to gain experience beyond traditional databases and cloud environments and understand how connected technologies can operate within enterprise systems.
OSDU and Enterprise Data Management
Another specialist area mentioned in the position is exposure to OSDU community code and Enterprise Data Management (EDM) workflows.
Graduates will have the opportunity to build experience in data management practices and technology ecosystems relevant to the energy industry.
This exposure could help candidates understand how large organizations manage complex data environments and develop digital solutions around enterprise data.
Educational Requirements
Applicants should hold a Bachelor’s or Master’s degree in one of the following fields or a closely related discipline:
- Computer Science
- Information Technology
- Software Engineering
- Data Science
- Information Systems
- Computer Engineering
The role is designed for candidates at an early stage of their careers, with 0–2 years of relevant experience accepted.
Relevant experience can include internships, industrial attachments, academic projects, hackathons, research initiatives and graduate trainee programmes.
Skills and Experience
Candidates should have a basic understanding of cloud computing technologies, as well as knowledge of SQL databases and data management concepts.
Exposure to Linux/Unix environments is also expected.
Familiarity with programming or scripting languages such as Python, Java or C# will be useful, alongside an understanding of APIs, REST services, JSON and XML.
SLB is also looking for graduates who can demonstrate strong analytical, problem-solving and communication skills.
The ability to collaborate effectively within a team is important because the role involves working with data teams, design teams, engineering teams, application owners and other stakeholders.
Benefits and Development Opportunities
SLB highlights several benefits associated with working for the organization.
Employees can access health, vision and dental insurance for themselves and eligible dependents from day one.
The company also promotes learning and professional development, with employees gaining exposure to international opportunities and a multicultural workforce.
For graduates, this global environment can provide opportunities to learn from experienced professionals and develop technical and professional skills through practical workplace exposure.
SLB also emphasizes diversity and inclusion, with the organization seeking to create an environment where different perspectives, creativity and experiences are valued.
Location
The Graduate Data and Infrastructure Engineer position is based in:
Cape Town, South Africa
The opportunity is particularly relevant to recent graduates and early-career professionals who are seeking to establish themselves in the country’s technology and engineering sector.
An Opportunity for Aspiring Data and Cloud Engineers
The SLB Graduate Data and Infrastructure Engineer opportunity provides an entry point into a career combining data engineering, cloud computing, infrastructure management, application support and digital technologies.
The broad technical scope means successful candidates can develop experience with databases, APIs, cloud platforms, containers, Linux environments, programming, IoT and enterprise data management.
For graduates with qualifications in computer science, IT, data science, software engineering or related disciplines, the role offers an opportunity to move from academic learning into a professional technology environment.
Candidates with relevant university projects, internships, industrial attachments or other early-career experience are encouraged to consider the opportunity and submit their applications through SLB’s recruitment platform.
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