We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. As a Senior Data Engineer, 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 will develop robust data pipelines, ensure data quality, and implement effective data governance practices. Your expertise will be crucial in supporting a critical migration initiative that ensures business continuity throughout the migration process. You’ll work with cross‑functional teams to ensure successful data transformation and integration from stores across UK and USA regions. 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 Proven background in data engineering with modern data stacks Experience in Azure cloud environments using SQL and/or Spark Knowledge of data quality practices and implementation methods Familiarity with pipelines for ETL processes Experience with data orchestration Experience with data cleansing, transformation, and integration Experience implementing and working with Data Lake/Data Warehouse solutions Understanding of Data Governance principles Nice to have Coding experience with Python Hands‑on experience with Data Platforms (Snowflake, dbt, Alteryx, Databricks…) Interview Process Heads‑Up Specific examples of navigating organizational challenges Strategies to investigate and resolve pipeline failures and data quality issues How to redesign pipelines with high load time handling historical data and updated records Data Governance implementation strategies that are GDPR compliant Benefits Maternity and parental leaves Mobile services subsidy Sick pay – life insurance CI&T University Colombian holidays Paid vacations And many others 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. Referrals increase your chances of interviewing at CI&T by 2x. Bogota, D.C., Capital District, Colombia #J-18808-Ljbffr