[Job - 30340] Senior Data Developer (Analytics Engineer), Colombia

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. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. We are seeking a highly motivated Senior Data Developer (Analytics Engineer) who serves as a bridge between business and technology — someone who not only masters the technical stack but also brings strategic vision, deep understanding of business logic, and a proactive approach to solution design. This professional will own the complete lifecycle of data products — from ingestion and modeling through final delivery — ensuring that data is structured, validated, and ready for consumption in AI and analytics environments. We need someone who communicates confidently with business stakeholders (both technical and non-technical), deeply understands the requirements behind requests, and translates them into robust, scalable technical solutions. Responsibilities: Business Translation & Requirements Definition : Actively engage with business stakeholders to understand context, challenges, and underlying needs; translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms. End-to-End Product Ownership : Take full responsibility for the data products you build — from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring. Data Quality Assurance & Validation : Implement and maintain rigorous validation processes, automated testing, and quality checks; act as guardian of data accuracy and integrity, ensuring metrics and KPIs accurately reflect business reality. Data Modeling & Transformation : Design and implement data transformation layers that pre-aggregate business information, apply consistent business rules, and deliver datasets ready for consumption in dashboards and AI applications. AI Enablement & Data Structuring : Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities. Full-Stack Data Development : Build and maintain data...

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