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.
We are seeking a Mid-Level Data Engineer to support the build and operation of Azure-based data pipelines. This role focuses on execution, working under the guidance of a Senior Data Engineer and Data Architect to deliver reliable, business-ready datasets.
Responsibilities:
– Build and maintain Azure Data Factory (ADF) pipelines
– Implement SQL-based transformations and data cleansing logic
– Ingest data from APIs, flat files, and relational databases
– Perform data validation, reconciliation, and issue remediation
– Monitor pipeline executions and resolve routine failures
– Document pipelines, transformations, and data logic
– Participate in code reviews and design walkthroughs
Requirements:
– Advanced English level
– Years of data engineering experience
– Hands-on experience with Azure Data Factory
– Solid SQL skills (joins, aggregations, basic performance awareness)
– Experience working with APIs or structured data ingestion
– Familiarity with Azure Data Lake or similar cloud storage
– Ability to follow defined patterns and engineering standards
Nice to Have
– Exposure to financial or operational reporting data
– Experience supporting BI or analytics use cases
– Familiarity with data quality or testing frameworks
– Success Indicators
– Reliable delivery of assigned pipelines and transformations
– Low-defect, well-documented implementations
– Effective collaboration with senior engineers
– Steady ramp-up with decreasing oversight over time
#LI-LO1
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.
Apply info ->
To apply for this job, please visit jobs.lever.co

