[Job-32118] 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 2h 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 3d ago
The date the source published, not the day we noticed it (2026-10-07). Last seen at its source just now.
We have tracked this listing since 7 Oct 2026 (3 days). The employer's own board has carried it every time we have read it, most recently just now.
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 $93.8k–157.1k/yr
Middle 50% of 16 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 3d ago · last seen just now
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.
Main responsibilities
- Define, build, and deliver high-quality, high-performance data pipelines in Azure (ADF, Synapse, Databricks) and, when necessary, on on-premises platforms.
- Ensure continuous support and maintenance of existing data pipelines, including proactive monitoring and handling of complex incident and problem tickets, troubleshooting failures and fixing bugs, proposing and implementing architectural and code improvements.
- Participate in the Data Validation process.
- Ensure that all systems meet the business requirements and the non-functional requirements (performance, security, privacy, GDPR/LGPD).
- Integrate up-and-coming data management and software engineering technologies into existing data structures.
- Analyze and organize raw data, ingest, transform, and make data available in data lakes and data marts.
- Collaborate directly with BI, Data Science, and Software Engineering teams to document and deliver consistent data solutions.
Requirements
- Solid experience in Azure Cloud data ecosystem (focus on ADF, Synapse, Databricks/Spark, ADLS).
- Development of reports (Reporting Services) and dashboards (Power BI).
- Experience in designing, building, and testing data pipelines (ETL/ELT), ensuring performance and reliability.
- Comfort in learning and integrating new frameworks and cloud-native technologies.
- Ability to share your knowledge with more junior team members.
- Knowledge on Microsoft SQL Server tech stack.
- Robust experience in Dimensional Modelling and Strong domain knowledge of SQL for building Data Marts and Data Warehouses.
- Experience in contributing to technical reference, assisting in defining data standards, and participating in code reviews.
- Practical experience in applying Software Engineering principles, including advanced use of Git (branches, PRs) and implementing/maintaining CI/CD for data solutions.
Nice to have
- Knowledge of unit, integration and E2E testing.
- Cloud Certification (Azure or AWS)
- Knowledge of Data Catalog and Lineage processes and tools (e.g., Azure Purview).
- Experience with Python or Scala for scripting and data process automation.
- Experience with Orchestration tools like Airflow.
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