Data Engineer

The ideal candidate will have a solid foundation in SQL, proficiency in Python.

Data Management & Analysis:
Utilize SQL and programming skills to manage, analyse, and extract insights from large datasets. Ensure data integrity and accuracy across all platforms.

Programming & Automation:
Develop and maintain scripts using Python or other programming languages to automate repetitive tasks, optimize processes, and support data-related projects.

Cloud Exposure:
Leverage cloud technologies (e.g., AWS, Azure, GCP) to design, implement, and manage data storage and processing solutions. Prior cloud experience is an advantage, but not mandatory.