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.

Accountabilities:

• 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)

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