[Job-29213] Senior Data Engineer, Brazil

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.

==> Only CV in English will be consider

==> Only Fluent English - C1 or higher speakers will be consider  (you will have a lot of interaction with clients and stakeholders in US daily). 

We are looking for a skilled Senior Data Engineer with strong expertise in Databricks to join a global data transformation initiative.

In this role, you will support the evolution of an Enterprise Data Foundation, helping stabilize and standardize data ingestion processes while ensuring alignment with global data platform standards and best practices.

You will work closely with cross-functional and international teams, designing scalable ingestion pipelines and contributing to modern data architecture initiatives based on the Medallion Architecture framework.

Your Mission

• Collaborate with cross-functional teams to understand data ingestion and integration requirements
• Design, develop, and maintain scalable PySpark and SQL ingestion pipelines
• Build and optimize ETL/ELT workflows aligned with Medallion Architecture standards
• Integrate data from multiple sources into enterprise data lake environments
• Ensure data quality, integrity, reliability, and performance across ingestion processes
• Align local ingestion workflows with global platform standards and governance
• Monitor, troubleshoot, and improve ingestion pipelines and data workflows
• Document ingestion processes and technical implementations
• Support stakeholders and provide technical guidance when needed
• Stay updated on modern data engineering practices and technologies such as Delta Sharing, Lakeflow Connect, and REST APIs

Required Qualifications

• Proven experience as a Data Engineer or similar role focused on data ingestion and transformation
• Hands-on experience with Databricks and Medallion Architecture
• Strong proficiency in PySpark and SQL
• Experience working with Data Lakes and modern data platform concepts
• Strong analytical and problem-solving skills
• Ability to work both independently and collaboratively in global environments
• Advanced English communication skills (written and spoken)
• Experience with cloud platforms (Azure is a plus)

Nice to Have

• Databricks and/or cloud certifications
• Experience with data visualization tools such as Power BI
• Knowledge of modern data integration and governance practices

Why Join Us?

• Opportunity to work on a global enterprise-scale data transformation initiative
• Collaborative and multicultural environment
• Exposure to modern cloud and data engineering technologies
• Work alongside highly skilled data and platform teams

#LI-LL1

Our benefits:

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

-Profit Sharing and Results Participation (PLR);

-Life insurance

-Continuous learning platform (CI&T University);

-Discount club

-Free online platform dedicated to physical, mental, and overall well-being

-Pregnancy and responsible parenting course

-Partnerships with online learning platforms

-Language learning platform

And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.