Data Engineer Sr

Jobgether·Lever
BrazilFull-timePosted Jul 3, 2026
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in Brazil.

This role sits at the core of a modern data engineering environment, focusing on designing and delivering scalable Snowflake-based data warehouse solutions that power enterprise analytics and decision-making. You will work closely with architects and cross-functional teams to translate business requirements into robust, high-performance data models. The position involves building and optimizing data pipelines, ensuring seamless integration with third-party ETL tools, and maintaining reliable CI/CD workflows using GitHub and Azure DevOps. You will play a key role in improving data performance, governance, and accessibility across the organization. This is an opportunity to work in a cloud-first, data-driven environment where engineering excellence and continuous improvement are highly valued. The role combines hands-on technical delivery with collaboration and problem-solving in a fast-paced setting. It is ideal for someone who enjoys working on complex data challenges with real business impact.

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

This role sits at the core of a modern data engineering environment, focusing on designing and delivering scalable Snowflake-based data warehouse solutions that power enterprise analytics and decision-making. You will work closely with architects and cross-functional teams to translate business requirements into robust, high-performance data models. The position involves building and optimizing data pipelines, ensuring seamless integration with third-party ETL tools, and maintaining reliable CI/CD workflows using GitHub and Azure DevOps. You will play a key role in improving data performance, governance, and accessibility across the organization. This is an opportunity to work in a cloud-first, data-driven environment where engineering excellence and continuous improvement are highly valued. The role combines hands-on technical delivery with collaboration and problem-solving in a fast-paced setting. It is ideal for someone who enjoys working on complex data challenges with real business impact.

Accountabilities:

    In this role, you will be responsible for delivering scalable and reliable data engineering solutions within a modern cloud data ecosystem:

    • Design, develop, test, and implement Snowflake data warehouse components based on business and technical requirements
    • Collaborate with data architects and stakeholders to build optimized, enterprise-grade data models
    • Develop and maintain data integrations with third-party ETL tools (cloud-to-cloud and on-premise-to-cloud)
    • Manage and optimize data pipelines using CI/CD practices with GitHub and Azure DevOps
    • Ensure performance tuning of SQL queries and database structures for efficiency and scalability
    • Support data pipeline reliability, monitoring, and troubleshooting across production environments
    • Apply best practices in data engineering, coding standards, and solution design
    • Requirements

      We are looking for a strong Senior Data Engineer with deep hands-on experience in cloud data platforms and enterprise data environments:

      • Strong hands-on experience with Snowflake architecture, administration, and data modeling
      • Proven experience working with Azure or other major cloud platforms
      • Solid understanding of enterprise data warehousing concepts and best practices
      • Strong SQL expertise including query optimization and performance tuning
      • Experience integrating Snowflake with ETL/ELT tools and managing complex data pipelines
      • Hands-on experience with ADF and CI/CD pipelines using GitHub and Azure DevOps
      • Strong problem-solving and root cause analysis skills in data models and pipelines
      • Ability to work independently while managing multiple priorities effectively
      • Excellent communication skills to interact with technical and business stakeholders
      • Advanced English proficiency (written and spoken)
      • Nice to have:

        • Experience with large-scale data analytics projects
        • Familiarity with BI tools such as Power BI or Tableau
        • Knowledge of programming languages such as Python, Java, or JavaScript
        • Understanding of Agile methodologies
        • Experience in test design and quality assurance for data systems
        • Strong analytical and innovative thinking mindset
        • Benefits

          • Competitive compensation aligned with senior-level expertise and market benchmarks in Brazil
          • Remote-friendly or hybrid flexibility depending on project and team needs
          • Opportunity to work on enterprise-scale Snowflake and cloud data architecture initiatives
          • Exposure to modern CI/CD, data engineering, and cloud-native technologies
          • Continuous learning and professional development opportunities
          • Collaborative and international work environment
          • Participation in impactful, large-scale data transformation projects
          • Comprehensive benefits package including healthcare and wellness support (based on local policies).
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?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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