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.

• Business Translation & Requirements Definition
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  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
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  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
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  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
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  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
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  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
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  Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python, and ensure performance and scalability of solutions.
• Proactive Problem Solving
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  Go beyond fulfilling requirements — proactively identify improvement opportunities, anticipate internal customer needs, propose innovative solutions, and challenge approaches when necessary.
• Agile & High-Quality Delivery
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  Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with the highest quality standards.
• Stakeholder Communication
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  Articulate technical concepts clearly to non-technical audiences; facilitate alignments, present solution proposals, and document modeling and architecture decisions.

• Proven experience in a Data Engineering or Analytics Engineering role at senior level.
• Advanced proficiency in SQL and Python for data analysis, transformation, and validation.
• Solid experience in data modeling and data warehouse design.
• Hands‑on experience working with Big Query (or other cloud-based data warehouse platform).
• Demonstrated ability to understand complex business logic and validate results from a business perspective, not just technical.
• Strong sense of ownership and proactive mindset — a professional who proposes improvements, challenges requirements when necessary, and doesn't wait to be asked to act.
• Experience specifying and preparing data requirements for AI or machine learning applications.
• Advanced/fluent English (reading, writing, and conversation) — constant communication with international stakeholders is required.
• Track record of delivering high-impact projects quickly and with quality.

• Experience with dbt (data…