[Hiring] Senior Data Developer @CI&T

Role Description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. Our client's Digital Supply Chain Analytics team is scaling how artificial intelligence and modern data platforms support day-to-day decisions across manufacturing, logistics, planning, procurement, and operations. The team is running multiple parallel initiatives and needs additional hands-on developers to keep pace.

The Senior Data Developer joins an existing team and contributes to established code repositories, with work scoped to the individual's strongest skills — whether that's database and pipeline development, application and UI development, or machine learning.

• Contributes to existing code repositories by extending and maintaining code according to established patterns and conventions.
• Follows Git best practices, including branching, commit hygiene, code review, and merge processes.
• Communicates progress, blockers, and technical decisions clearly and consistently with the broader team.
• Collaborates within a larger cross-functional team accountable for the overall success of each project.

Data Pipelines & Integration

• Builds data pipelines that feed downstream applications, including AI agents that manage purchase orders, by integrating and transforming data from sources such as Google BigQuery and SAP.
• Develops and maintains ETL/ELT (Extract, Transform, Load / Extract, Load, Transform) processes to ensure reliable, accurate data flow between systems.
• Designs and maintains database structures that support operational and analytical workloads.

Application & UI Development

• Builds and extends front-end interfaces for internal applications, including a SaaS replacement for forecasting and inventory management.
• Develops backend features and administrative functionality that support day-to-day application operations.
• Builds and maintains scheduled jobs (cron jobs) that automate recurring application or data processes.

Machine Learning

• Supports the development of machine learning models for use cases such as computer vision and forecasting.
• Assists in preparing data and features required to train and evaluate models.

Qualifications

• Demonstrated experience contributing to and extending existing code repositories in a team environment.
• Strong working knowledge of Git and collaborative version control practices.
• Clear, consistent communication skills, comfortable working closely with a distributed team.
• Depth in at least one of the following areas, with working familiarity in others: database development and SQL, front-end/application development, ETL and data pipeline development, or machine learning.
• Comfort working across a range of tasks as scoped by the team, rather than a single fixed role.
• Experience with Google BigQuery, SAP, or similar enterprise data platforms is a plus where relevant to assigned tasks.

Requirements

• Experience with SAP integrations.
• Experience building or maintaining SaaS-style applications (forecasting, inventory management, or similar).
• Experience with machine learning for computer vision or time-series forecasting.
• Experience with scheduled/automated jobs (cron) and lightweight administrative tooling.
• Experience in supply chain, manufacturing, logistics, or procurement contexts.

Benefits

• Premium Healthcare
• Meal voucher
• Maternity and Parental leaves
• Mobile services subsidy
• Sick pay-Life insurance
• CI&T University
• Colombian Holidays
• Paid Vacations
• And many others.