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.
📍 Remote
🌎 Advanced English (C1 or above) – mandatory
About the Role
CI&T is looking for a Senior Data Engineer to join a strategic initiative focused on Data Privacy and Governance for a global client.
In this role, you will act as a technical consultant, supporting the integration between Databricks and data privacy/governance solutions to ensure the client’s Data Lake complies with LGPD requirements. You will work closely with cross-functional teams, helping design secure, scalable, and compliant data solutions.
Responsibilities
- Act as a technical advisor for the integration between Databricks and data privacy/governance tools.
- Support the configuration of connectivity, access permissions, metadata, and security requirements within Databricks.
- Guide and validate data discovery, classification, and scanning processes across the Data Lake.
- Provide expertise on Databricks data structures, access patterns, and security models.
- Collaborate with engineering and business teams to ensure data integrity, usability, and compliance.
- Document data architectures, workflows, and technical processes.
- Support troubleshooting and provide technical guidance on data-related challenges.
- Contribute to Data Lake and Data Warehouse architecture discussions and best practices.
Required Qualifications
- Experience in Data Engineering or related roles.
- Advanced English (C1 or above), both written and spoken- mandatory
- Hands-on experience with Databricks (required), including:
- Data structures and Delta tables
- Access control and security model
- Connectors and metadata management
- Strong knowledge of SQL and Apache Spark.
- Experience with modern cloud-based data engineering environments.
- Experience with Data Lake and Data Warehouse architectures.
- Knowledge of dimensional data modeling.
- Experience with CI/CD pipelines for data and ETL processes.
- Familiarity with data privacy and compliance concepts such as LGPD and GDPR.
Nice to Have
- Databricks certification.
- Experience with Azure and/or AWS.
- Experience with Unity Catalog and Data Governance practices.
- Knowledge of Data Quality frameworks and processes.
- Experience with data privacy, governance, discovery, or classification platforms.
- Experience supporting scanning and classification tools integrated with cloud data platforms.
- Experience working with international clients.
- Knowledge of Power BI.
Why Join CI&T?
You’ll have the opportunity to work on a highly strategic data initiative, helping organizations build secure, scalable, and compliant data platforms while collaborating with global teams and leveraging modern technologies such as Databricks and cloud-native data solutions.
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To apply for this job, please visit the application page
