[Job-31906] Senior Data Developer
At a glance
Senior Data Engineering role at CI&T. Remote, Brazil.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain scalable pipelines with Databricks, Spark, SQL, and Python or Scala
- Process large datasets, then tune pipeline performance, capacity, throughput, and reliability
- Turn data needs from technical teams and business stakeholders into working solutions
- Add checks and governance practices to protect data accuracy, consistency, and compliance
- Investigate pipeline failures, find underlying causes, and document solutions and engineering standards
What you bring
- You have professional data engineering experience, especially designing and building pipelines
- You have hands-on experience with Databricks and Apache Spark, plus strong SQL skills
- You can use Python or Scala for data engineering and have worked with Azure cloud data solutions
- You hold a degree in computer science, information technology, engineering or a related area
- You communicate confidently in both English and Portuguese with clients and stakeholders
Who this fits
This senior data engineering role suits someone who can build and troubleshoot data pipelines while working with technical teams and business stakeholders. It is remote and based in Brazil.
From the employer
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.
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