[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.

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  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.

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  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.

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  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.

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  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.

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  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.

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  Full-Stack Data Development: Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python, and ensure performance and scalability of solutions.

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  Proactive Problem Solving: Go beyond fulfilling requirements — proactively identify improvement opportunities, anticipate internal customer needs, propose innovative solutions, and challenge approaches when necessary.

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  Agile & High-Quality Delivery: Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with the highest quality standards.

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  Stakeholder Communication: 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 BigQuery (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 build tool) for transformation and orchestration of analytical pipelines

• Familiarity with data ingestion tools such as Airbyte or Airflow

• Knowledge of automated testing best practices and CI/CD for data pipelines

• Prior experience in Supply Chain, Retail, or Consumer Goods industries

• Experience in projects involving data preparation for consumption via generative AI or conversational analytics platforms

• Experience building business-oriented analytical reports (web reporting, custom visualizations)
  
  
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