Company Overview:
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.
What you will do:
Design, develop, and maintain robust data pipelines and ETL processes to support analytics and reporting for Generative AI and LLM-based solutions.
Collaborate with cross-functional teams to integrate AI-driven insights into business processes, ensuring the delivery of high-quality, data-driven reports.
Leverage Databricks and other cloud-based platforms to optimize data workflows, ensuring scalability and performance in handling large datasets.
Implement best practices in data management, including data governance, security, and compliance, within the context of Generative AI and LLM platforms.
Stay updated with the latest advancements in Generative AI, LLMs, and related technologies, and apply this knowledge to improve the efficiency and effectiveness of analytics projects.
What you should bring:
Proven experience in data engineering, with a focus on analytics and reporting in a SaaS environment.
Hands-on experience with Databricks and other big data technologies.
Strong understanding of Generative AI, LLMs, and their applications in data-driven projects.
Proficiency in SQL, Python, and other programming languages used in data engineering and analytics.
Excellent problem-solving skills, with a keen eye for optimizing data workflows and processes.
