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

CI&T· Data/Analytics Engineering
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RemoteHomeofficePosted 3mo ago

About the role

Senior Data Developer (Analytics Engineer) responsible for end-to-end data products, from ingestion and modeling to delivery, with strong business understanding and collaboration with AI teams to enable analytics and AI platforms.

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; guardian of data accuracy and integrity, ensuring metrics and KPIs 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 ingestion pipelines from multiple sources, implement transformations in SQL and Python, ensuring performance and scalability.
  • Proactive Problem Solving: Identify improvement opportunities, anticipate internal customer needs, propose innovative solutions, and challenge approaches when necessary.
  • Agile & High-Quality Delivery: Deliver reliable data solutions with speed and precision, balancing rapid iteration with high-quality standards.
  • Stakeholder Communication: Articulate technical concepts to non-technical audiences, facilitate alignments, present proposals, and document modeling and architecture decisions.

Qualifications

  • 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 — proposes improvements and challenges requirements when necessary
  • Experience specifying and preparing data requirements for AI or machine learning applications
  • Advanced/fluent English (reading, writing, and conversation) — constant communication with international stakeholders
  • Track record of delivering high-impact projects quickly and with quality

Skills

Required:SQLPythonData Modeling

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.
Last updated Oct 21, 2026. Interested? Apply on the company site.

About CI&T

Technology Transformation Specialists

A global technology consulting and digital transformation firm that combines human expertise with AI to develop innovative solutions.

Technology transformationAISoftware developmentCloud servicesDigital experienceData analyticsApplication modernizationConsulting
Company profileWebsite

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