[Hiring] Senior Data Developer (Analytics Engineer) @CI&T

Role Description

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.

• 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 ingestion pipelines from multiple sources, implement transformations in SQL and Python, and ensure performance and scalability of solutions.
• Proactive Problem Solving: Go beyond fulfilling requirements — proactively 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 the need for rapid iteration with the highest quality standards.
• Stakeholder Communication: Articulate technical concepts clearly to non-technical audiences; facilitate alignments, present solution 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 — 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

Requirements

• 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)

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.