← back to jobs
> job detail
C
⚙️Data Engineer

[Job-30295] Senior Data Engineer (DataBricks & Data Privacy-LGPD ), Brazil

Ciandt · Brazil
// classified as
Data Engineer (Pipelines, infra, ingestion, ETL.)
posted
4d ago
location
Brazil
languages
sql
tools
azure, databricks, delta
> stack
sqlazuredatabricksdelta
> description

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.

 

#LI-LL1

Apply at Ciandt →