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Salary
≈ $87k – $212k per year (Estimated)
Location
Remote (Colombia)
Seniority
Senior

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 23, 2026. CI&T scores B on the Alion truth index.

Overview
Company
Impact
Profile match
CI&T is a Brazilian digital services company founded in Campinas in 1995 that builds software, data platforms and artificial intelligence systems for large enterprises. It works mainly with banks, retailers, consumer goods companies and healthcare providers in Brazil, the United States and Europe, taking on product engineering, cloud modernisation and experience design as long-running delivery engagements. The company listed on the New York Stock Exchange in 2021 and employs several thousand people across delivery centres in Latin America, North America, Europe and Asia.

As a Senior Data Developer, you will design and implement scalable data solutions that drive business value for our global clients. Working with modern data stacks in cloud environments, you'll develop robust data pipelines, ensure data quality, and implement effective data governance practices. Your expertise will be crucial in transforming raw data into actionable insights.

Key Responsibilities:

Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently

Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability

Implement and maintain data quality measures throughout the data lifecycle

Create and optimize dimensional data models to support analytical needs

Develop and maintain Data Lake/Data Warehouse solutions for our clients

Implement data governance practices including cataloging and lineage tracking

Configure and manage CI/CD pipelines for ETL processes

Requirements:

Advanced English communication skills (reading, writing, and speaking)

Experience working with international clients

Strong coding experience with Python

Hands-on experience with Snowflake and DBT

Proven background in data engineering with modern data stacks

Experience in Azure cloud environments using SQL and/or Spark (with Apache Airflow and Dataforms)

Knowledge of data quality practices and implementation methods

Familiarity with CI/CD pipelines for ETL processes

Expertise in dimensional data modeling

Experience implementing and working with Data Lake/Data Warehouse solutions

Understanding of Data Governance principles

Must: Azure Data Factory, Azure DevOps, SQL, Experience with data cleansing, transformation, and integration.

Nice: Snowflake, Python

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