[Job-31906] Senior Data Developer
ciandt
Posted Sep 25, 2026
- Other
- Remote
- Lovelace
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. #Midsenior #Li-mg04