# [Job - 30340] Senior Data Developer (Analytics Engineer), Colombia at CI&T

[Job - 30340] Senior Data Developer (Analytics Engineer), Colombia at CI&T in Colombia. Remote. Posted July 7, 2026.

- Company: CI&T
- Location: Colombia
- Workplace: Remote
- Experience: 30+ years
- Posted: 2026-07-07
- Apply: https://jobs.lever.co/ciandt/1b334619-f3c5-4b1f-a1a8-2a0aee627a91/apply
- Source: https://jobmagic.ai/jobs/job-30340-senior-data-developer-analytics-engineer-colombia-cit-1rb0t6

## Requirements

- 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

## Description

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 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.

 

 

### **Requirements:**

- 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

 

 

### **Nice to Have:**

- 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)

#LI-JP3

**Our benefits include:**
 
- 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. 
 
 
Collaboration is our superpower, diversity unites us, and excellence is our standard. 
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
