[Freelance] Data Engineer with AI Focus

Company Overview : Kenz’up is a dynamic fintech startup launched in June 2020, funded and backed by a major Moroccan corporation.

We specialize in financial services and cashback solutions, with our flagship digital cashback application designed to enhance customer retention.

Kenz’up aims to support the national financial inclusion strategy and improve the daily lives of millions of Moroccans through a wide range of financial services.

Your Role : Assist in the design and implementation of data pipelines that power AI-driven financial solutions Collaborate with cross-functional teams to collect, process, and transform data to support AI models Work with large datasets to ensure they are clean, reliable, and optimized for analytical and machine learning purposes Contribute to the development and maintenance of scalable data infrastructure Support senior engineers in deploying AI models into production environments Document data processes, pipelines, and infrastructure to ensure reproducibility and efficiency Participate actively in team discussions throughout the data lifecycle with a focus on AI applications Required Technical Experience : Approximately 3 years of experience in data engineering or a related field Proficient in Python, with experience in data manipulation libraries such as Pandas and NumPy Extremely skilled in SQL for querying, managing, and transforming large datasets Experience building data pipelines and ETL processes Familiarity with data warehousing solutions Understanding of machine learning concepts and AI applications Exposure to machine learning frameworks such as TensorFlow or PyTorch is a plus Experience with cloud services for data and AI, like AWS, GCP, or Azure Knowledge of containerization tools such as Docker Experience with version control systems, predominantly Git Comfortable working in Agile environments and with continuous integration tools Strong problem-solving abilities and analytical skills Effective communication skills in English, both spoken and written Powered by JazzHR