Our Analytics & AI team supports organizations in unlocking the value of their data by designing, building, and maintaining scalable data and AI solutions. We help our clients and internal teams transform raw data into meaningful insights by developing robust backend systems, streamlining data pipelines, and ensuring data quality and reliability. From structuring and organizing codebases to optimizing data workflows, we focus on delivering efficient, maintainable, and future-ready analytics environments that enable better decision-making and innovation.
In an increasingly data-driven world, organizations rely on strong analytics and AI capabilities to remain competitive, efficient, and compliant. Our team works across the full data lifecycle—processing, cleaning, storing, and managing data—while supporting cloud-based infrastructures and modern development practices. We collaborate closely with cross-functional teams, contributing to internal initiatives and helping shape scalable solutions that can adapt to evolving business and technological needs.
If you are a curious and detail-oriented problem solver who enjoys working with data and building reliable systems, and you are eager to grow within a collaborative and forward-thinking environment, join our Analytics & AI team and accelerate your professional development within a leading international organization.
Key responsibilities include:
Backend development in Python
Database support and data management
Data processing and data cleaning
Codebase organization and optimization
Supporting internal team initiatives and coordination
Prerequisites:
Strong knowledge of Python
Exposure to relational databases
Experience with Git and version control practices
Familiarity with cloud services
Understanding of ETL processes and data pipelines
Strong English communication skills