[Job-31421] Senior Data Engineer, Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 14d ago
The date the source published, not the day we noticed it (2026-09-01). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $95.9k–157.1k/yr
Middle 50% of 8 listings that do state pay — Engineering · Senior · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 14d ago · last seen 1h ago
The listing
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.
** Must have good English => C1 or above
At CI&T, we're growing fast and looking for a talented, motivated Data Engineer to join our team. You'll play a crucial role in designing, developing, and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our global clients.
Key Responsabilities
- Design, develop, and maintain scalable data pipelines and infrastructure.
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Collaborate with cross-functional teams to ensure data integrity and usability.
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Document data workflows, processes, and architectures.
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Integrate data quality into data pipelines.
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Develop CI/CD pipelines for ETL processes.
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Implement dimensional data modeling.
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Implement Data Lake/Data Warehouse solutions.
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Implement Data Governance practices (catalog, lineage, etc).
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Provide technical support and troubleshooting for data-related issues.
Qualifications
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Good English communication skills is mandatory (reading, writing, and speaking).
- Proven experience working with modern data engineering stacks in the cloud.
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Experience with the Databricks platform is a must-have for this position.
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Strong knowledge of Spark, Python, and SQL.
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Knowledge of CI/CD pipelines for ETL processes.
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Expertise in dimensional data modeling.
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Experience with Data Lake/Data Warehouse implementations.
Nice to Have
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Databricks certification is a plus.
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Experience working with international clients.
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Experience working with Azure and AWS.
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Experience with Power BI.
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Familiarity with Data Quality practices.
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Familiarity with Data Governance using Unity Catalog.
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Knowledge of FinOps as applied to the data space.