Principal Data Engineer - English Required

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

This role is a senior technical leadership position focused on designing and scaling modern data platforms that power analytics, machine learning, and data-driven decision-making across global clients. You will act as a key architect of enterprise-grade data ecosystems, ensuring high performance, scalability, security, and reliability across complex data environments. Working in a highly collaborative and international setup, you will partner with data scientists, engineers, product teams, and business stakeholders to transform raw data into strategic business value. The role combines deep hands-on engineering with architectural leadership, requiring the ability to define standards, guide technical direction, and elevate engineering maturity across teams. You will also play a critical mentoring role, supporting engineers of varying seniority while shaping best practices across data engineering initiatives. This is a high-impact position where your decisions directly influence platform efficiency, data quality, and business outcomes at scale.

Design, build, and evolve large-scale, cloud-based data platforms that support analytics, machine learning, and business intelligence use cases

• Lead the development and optimization of scalable ETL/ELT pipelines for batch and near real-time data processing
• Define and implement data architecture standards, modeling approaches, and governance frameworks across projects
• Architect and maintain cloud-native data solutions using platforms such as AWS, Azure, or GCP
• Establish best practices for data quality, observability, monitoring, lineage, and security across data systems
• Collaborate closely with data scientists, analysts, and product teams to deliver reliable, production-ready datasets
• Lead technical discussions, conduct code reviews, and mentor data engineers across different levels of experience

Requirements:

8+ years of experience in data engineering, data architecture, or data platform roles, with exposure to enterprise-scale systems

• Strong expertise in SQL and advanced Python development for data processing and pipeline engineering
• Proven experience designing and implementing scalable ETL/ELT pipelines in cloud-based environments
• Deep knowledge of data modeling techniques such as Star Schema, Snowflake, or Data Vault
• Hands-on experience with orchestration tools such as Airflow, dbt, or equivalent technologies
• Strong experience with cloud platforms including AWS, Azure, or GCP, and modern data warehouse/lake architectures
• Solid understanding of CI/CD practices, data governance, security, and compliance standards
• Strong leadership, communication, and mentoring skills with the ability to influence technical decisions
• Advanced English proficiency for collaboration with international stakeholders

Benefits:

• Fully remote work with international project exposure
• Opportunity to work with global brands and high-growth startups
• Access to diverse and complex data engineering challenges across multiple industries
• Flexible work arrangements aligned with project needs
• Paid time off including birthday leave
• Learning and development support, including courses, certifications, and English classes
• Multicultural and collaborative work environment
• Participation in tech meetups, events, and knowledge-sharing initiatives
• Career growth opportunities across multiple technical and leadership paths