GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our client’s success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions. 

We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. That’s just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference. GEP is a place where individuality is prized, and talent respected. We’re focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. We’re a learning organization, actively looking for people to help shape, grow and continually improve us.

Are you one of us?

GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team.

For more information please visit us on GEP.com or check us out on LinkedIn.com.

• Assist in the creation, maintenance, and optimization of data pipelines.
• Develop Python scripts and programs for data transformation and cleansing.
• Collaborate with the Data Science team to understand data requirements and provide technical solutions.
• Contribute to the integration of new data sources.
• Monitor and troubleshoot issues related to data pipelines.
• Document data processes and flows.

• Strong knowledge of Python programming.
• Enrolled in a bachelor's program in Data Science, Computer Engineering, Software Engineering, or related fields.
• Passion for data and a keen interest in learning about Data Engineering.
• Strong problem-solving skills.
• Effective communication and teamwork skills.
• Proactive and results-oriented mindset.