Senior Data Developer
Brazil
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, develop, and maintain scalable data pipelines using Databricks, Spark, SQL, and Python or Scala
Build solutions to process and transform large datasets efficiently
Implement data quality checks and governance practices
Troubleshoot complex data and pipeline issues and propose sustainable fixes
From the employer’s posting
Design, develop, and maintain robust and scalable data pipelines using Databricks, Apache Spark, SQL, and Python or Scala.
Build solutions to process and transform large datasets efficiently.
Implement data quality checks and governance practices to ensure data accuracy, consistency, and compliance.
Troubleshoot complex data and pipeline issues, identifying root causes and proposing sustainable solutions.
What you’ll bring
All qualificationsCore experience
- Hands-on experience with Databricks and Apache Spark.
- Strong knowledge of SQL and experience working with large datasets.
- Proficiency in Python or Scala for data engineering.
- Experience working with Microsoft Azure and cloud-based data solutions.
- Excellent communication skills in English and Portuguese, with confidence working in collaborative environments and interacting with clients and stakeholders.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
Qualification wording
Hands-on experience with Databricks and Apache Spark.
Strong knowledge of SQL and experience working with large datasets.
Proficiency in Python or Scala for data engineering.
Experience working with Microsoft Azure and cloud-based data solutions.
Excellent communication skills in English and Portuguese, with confidence working in collaborative environments and interacting with clients and stakeholders.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
Education & alternatives
- Excellent communication skills in English and Portuguese, with confidence working in collaborative environments and interacting with clients and stakeholders. - Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. #Midsenior
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Databricks
- Spark
Source — Tool mentions in context
We are looking for a Data Engineer to join our team and help design, build, and optimize scalable data solutions. In this role, you will work with modern data technologies such as Databricks, Apache Spark, SQL, Python, and Azure, collaborating with technical teams and business stakeholders to transform large volumes of data into reliable and efficient solutions. Your responsibilities
Your responsibilities - Design, develop, and maintain robust and scalable data pipelines using Databricks, Apache Spark, SQL, and Python or Scala. - Build solutions to process and transform large datasets efficiently.
- Strong knowledge of SQL and experience working with large datasets. - Proficiency in Python or Scala for data engineering. - Experience working with Microsoft Azure and cloud-based data solutions.
- Hands-on experience with Databricks and Apache Spark. - Strong knowledge of SQL and experience working with large datasets. - Proficiency in Python or Scala for data engineering.
- Proficiency in Python or Scala for data engineering. - Experience working with Microsoft Azure and cloud-based data solutions. - Strong analytical and problem-solving skills, including the ability to troubleshoot complex data issues.
- Solid professional experience in Data Engineering, particularly designing and developing data pipelines. - Hands-on experience with Databricks and Apache Spark. - Strong knowledge of SQL and experience working with large datasets.
Benefits in the posting
Full benefits wording- -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;
- -Life insurance
- -Discount club
- -Pregnancy and responsible parenting course
- -Partnerships with online learning platforms
- -Language learning platform
- 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.
- Employment type
- Homeoffice
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 7, 2026 · 22 days ago
- Recorded sightings
- 183
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Sep 25, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Job 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.
We are looking for a Data Engineer to join our team and help design, build, and optimize scalable data solutions.
In this role, you will work with modern data technologies such as Databricks, Apache Spark, SQL, Python, and Azure, collaborating with technical teams and business stakeholders to transform large volumes of data into reliable and efficient solutions.
Your responsibilities
- Design, develop, and maintain robust and scalable data pipelines using Databricks, Apache Spark, SQL, and Python or Scala.
- Build solutions to process and transform large datasets efficiently.
- Monitor and optimize existing data pipelines and workflows, improving performance, scalability, throughput, and reliability.
- Collaborate with data scientists, analysts, engineers, and business stakeholders to understand data needs and translate them into effective technical solutions.
- Implement data quality checks and governance practices to ensure data accuracy, consistency, and compliance.
- Troubleshoot complex data and pipeline issues, identifying root causes and proposing sustainable solutions.
- Maintain clear technical documentation and contribute to engineering standards and best practices across the team.
What we are looking for
- Solid professional experience in Data Engineering, particularly designing and developing data pipelines.
- Hands-on experience with Databricks and Apache Spark.
- Strong knowledge of SQL and experience working with large datasets.
- Proficiency in Python or Scala for data engineering.
- Experience working with Microsoft Azure and cloud-based data solutions.
- Strong analytical and problem-solving skills, including the ability to troubleshoot complex data issues.
- Excellent communication skills in English and Portuguese, with confidence working in collaborative environments and interacting with clients and stakeholders.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
Employment type
Homeoffice
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Brazil
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.