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.

Support the development and maintenance of web scraping scripts to extract structured data from public sources.

Collaborate on the standardization and normalization of collected data to feed our data pipelines.

Follow coding standards and structure guidelines defined by the team.

Assist with data validation and quality assurance, ensuring completeness, accuracy, and consistency.

Participate in code reviews and technical meetings to learn and align with the team.

Work with tools such as GitHub, Python, Notebooks.

Interest in data engineering, automation, and large-scale data collection.

Basic knowledge of Python, especially libraries like pandas, requests, and BeautifulSoup or similar

Curiosity and proactive attitude towards learning scraping, data structures, and coding best practices.

Good organization skills and attention to detail.

Clear communication skills and ability to work in a collaborative environment.

Basic technical English for reading documentation.