Senior Data Developer (Analytics Engineer), Colombia

CI&T; Colombia; Presencial; COP 9.000.000 - 18.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Premium Healthcare

Meal Voucher

Parental Leave

Mobile Subsidy

Sick Pay

CI&T University

Colombian Holidays

Paid Vacations

Descripción de la vacante

CI&T is seeking a Senior Data Developer (Analytics Engineer) who bridges business and technology, owning the complete lifecycle of data products—from ingestion and modeling through delivery—to ensure data is structured, validated, and ready for AI and analytics environments.

You will work with business stakeholders, translate complex requirements into robust pipelines using SQL and Python, and collaborate with AI teams to enable dashboards and intelligent reporting, while maintaining

Formación

• Senior level experience in data engineering or analytics engineering.
• Advanced SQL and Python for data analysis, transformation, and validation.
• Strong data modeling and data warehouse design experience.
• Hands-on with BigQuery or similar cloud data warehouse.
• Ability to translate business requirements into technical data solutions.
• Excellent English communication with international stakeholders.

Responsabilidades

• Translate business needs into technical data specifications.
• Own end-to-end data products from ingestion to delivery.
• Ensure data quality with validation and automated tests.
• Design transformation layers and pre-aggregations.
• Collaborate with AI teams to structure data for AI platforms.
• Build scalable data ingestion pipelines and ensure performance.
• Proactively identify improvements and opportunities.
• Deliver high-quality data solutions using agile methods.
• Communicate with non-technical stakeholders and document decisions.

Conocimientos

SQL

Python

Data modeling

BigQuery

Data warehousing

Data ingestion pipelines

English (advanced)

Herramientas

dbt

Airbyte

Airflow

Descripción del empleo

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).

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

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.