ENGENHEIRO DE DADOS SR

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in Brazil.

This role sits at the core of a fast-growing data-driven organization, responsible for building and evolving the data foundation that powers business decisions and analytics at scale. You will design and maintain robust, high-performance data pipelines that ensure reliability, governance, and accessibility across multiple domains. Working in a modern cloud-based environment, you will contribute to architectural decisions and help shape scalable Lakehouse-style data platforms. The position requires close collaboration with analytics engineers and data analysts to ensure data models are consistent, reusable, and aligned with business needs. You will also play a key role in improving data quality, observability, and operational excellence across the entire data ecosystem. This is a highly technical and impactful role where your work directly enables product innovation, business insights, and organizational growth. You will also act as a technical reference point, supporting best practices and raising engineering standards within the team.

• Design, build, and maintain scalable and reliable data pipelines ensuring performance, integrity, and availability.
• Manage ingestion, transformation, and integration of structured and unstructured data from multiple internal and external sources.
• Contribute to the evolution of modern data architectures, including Lakehouse and distributed processing environments.
• Develop and maintain data infrastructure that supports analytics, reporting, and new product development with strong governance.
• Collaborate with analytics engineers and data analysts to build consistent, reusable, and high-quality data models.
• Ensure data quality, traceability, and reliability across all analytical datasets consumed by the business.
• Implement monitoring, validation, and troubleshooting mechanisms for data pipelines and workflows.
• Apply engineering best practices including testing, versioning, documentation, and CI/CD for data workflows.
• Act as a technical reference, supporting team members and contributing to engineering standards and practices.

Requirements:

• Solid experience in data engineering, working with relational and non-relational databases in production environments.
• Strong expertise in SQL and Python for data manipulation, processing, and pipeline development.
• Hands-on experience with PySpark and cloud data platforms such as Databricks or equivalent Lakehouse architectures.
• Proven ability to design, build, and optimize scalable and reliable data pipelines.
• Strong analytical mindset with ownership attitude and focus on delivering results.
• Experience working in cross-functional teams in agile and fast-paced environments.
• Degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, or related fields.

Benefits:

• Meal or food allowance (R$45 per working day)
• Transportation or fuel allowance
• Health insurance (Unimed) with co-participation and no monthly fee
• Dental plan (OdontoPrev) with fixed monthly cost
• Mental health support with free therapy sessions per month
• Home office assistance
• Access to online learning platforms and professional development courses
• English language training program
• Flexible perks and employee discounts across wellness, education, and services
• Birthday day off
• Childcare assistance and dependent support benefits
• Discounts and partnerships with multiple service providers and education institutions
• Additional wellness and lifestyle benefits (gym, culture, leisure partnerships)