Data Engineer Senior (FICO)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer Senior (FICO) based in Brazil.

This role sits at the core of large-scale data transformation initiatives, focusing on building and optimizing robust, cloud-based data ecosystems that support enterprise decision-making. You will work in a highly collaborative, multidisciplinary environment where data engineering, analytics, and business needs converge to deliver scalable and intelligent solutions. The position involves designing end-to-end data pipelines and ensuring data reliability across complex architectures leveraging modern cloud and big data technologies. You will play a key role in shaping data platforms that enable performance, governance, and innovation at scale. This is a hands-on, senior-level engineering role with strong influence on architecture, standards, and delivery quality. You will collaborate closely with technical and business stakeholders to translate complex requirements into efficient data solutions.

Accountabilities

In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines that support enterprise-grade analytics and operational needs. You will work across ingestion, transformation, and modeling layers while ensuring data quality, consistency, and usability throughout the lifecycle of data processing. You will also contribute to the evolution of modern data platforms, supporting CI/CD practices for ETL workflows and maintaining reliable Data Lake and Data Warehouse architectures.

• Design, build, and maintain scalable and robust data pipelines using tools such as Databricks, Spark/PySpark, Azure Data Factory (ADF), and Cloudera
• Develop and optimize ETL/ELT processes, ensuring high performance, reliability, and data accuracy
• Implement and maintain CI/CD pipelines for data engineering workflows
• Ensure data quality, integrity, governance, and compliance across all stages of data processing
• Work with Data Lake and Data Warehouse architectures, including Bronze/Silver/Gold layers and dimensional modeling (Star Schema, Delta Tables)
• Troubleshoot and resolve technical issues across data pipelines and cloud infrastructure
• Collaborate with cross-functional teams to align data solutions with business and technical requirements
• Contribute to roadmap planning, technical decision-making, and architecture evolution for data platforms
  
  

Requirements

This role requires strong experience in data engineering within cloud and big data environments, along with deep technical expertise in modern data processing frameworks. You should be comfortable working in complex, fast-changing environments and capable of translating business needs into scalable data solutions. Strong communication skills and the ability to collaborate across teams are essential.

• Degree in Computer Science, Engineering, IT, or related fields
• Solid experience as a Data Engineer or in a similar senior data-focused role
• Strong proficiency in SQL and Python/PySpark
• Hands-on experience with Azure Databricks (workflows, jobs, Delta Lake, queries)
• Experience with Azure Data Factory (ADF) and Cloudera ecosystem (Hive, Impala, HDFS)
• Strong knowledge of ETL/ELT pipelines and dimensional data modeling
• Experience designing and working with Data Lake and Data Warehouse architectures
• Familiarity with CI/CD practices applied to data engineering workflows
• Knowledge of data governance, data quality, and cloud cost optimization (FinOps concepts)
• Ability to work in dynamic environments with evolving or unclear requirements
• Strong communication and collaboration skills with multidisciplinary teams
  
  

Benefits

• Health and dental insurance
• Meal and food allowances
• Childcare assistance
• Extended parental leave
• Gym and wellness partnerships (Wellhub / TotalPass)
• Profit sharing (PLR)
• Life insurance
• Continuous learning platform (CI&T University)
• Discounts platform and online learning resources
• Language learning support
• Additional wellness, health, and professional development programs
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.