Engenheiro(a) de Dados

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro(a) de Dados based in Brazil.

This is an exciting opportunity for a data engineering professional to play a strategic role in the evolution and reliability of a modern data platform. In this position, you will work across the entire data lifecycle, building scalable pipelines, improving data governance practices, and delivering critical information that supports business decision-making. You will collaborate with multidisciplinary teams in technology, analytics, and business functions, contributing to innovative and high-impact initiatives. The environment values technical excellence, knowledge sharing, continuous improvement, and a strong culture of collaboration, making it an ideal opportunity for professionals who thrive in dynamic and data-driven ecosystems.

• Design, build, and maintain scalable and resilient data pipelines for ingestion, transformation, and orchestration of critical business data.
• Collaborate with engineering teams, external data providers, and business stakeholders to understand requirements and translate them into efficient data solutions.
• Develop and optimize data models to improve storage efficiency, query performance, and data accessibility.
• Implement and promote engineering best practices, including code versioning, automated testing, metadata documentation, and data quality validation.
• Ensure data consistency, reliability, and governance through robust monitoring, security controls, and lifecycle management processes.
• Act as a bridge between engineering, analytics, data science, and business teams, fostering collaboration and enabling data-driven initiatives.
• Document processes, workflows, and technical solutions to facilitate transparency and knowledge sharing across teams.
• Identify opportunities for continuous improvement in platform architecture, scalability, and operational efficiency.

Requirements:

• Solid experience in Data Engineering, with hands-on expertise in building and maintaining end-to-end data pipelines.
• Advanced proficiency in SQL, including the ability to create complex and high-performance queries.
• Strong knowledge of data modeling principles and best practices for analytical and operational environments.
• Experience with orchestration tools such as Airflow, Prefect, Dagster, or similar technologies.
• Familiarity with Delta Lake and data versioning strategies for historical data management.
• Practical experience with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Knowledge of data security practices, including governance, anonymization, masking, and compliance requirements.
• Experience with Git, CI/CD practices, and agile methodologies.
• Strong communication and stakeholder management skills, with the ability to work effectively in cross-functional teams.
• Nice to have: experience with NoSQL databases (MongoDB, Cassandra, DynamoDB) and exposure to Generative AI, LLMs, or agent-based platforms applied to data solutions.

Benefits:

• Profit Sharing Program (PLR).
• Medical and dental insurance.
• Life insurance coverage.
• Flexible meal and food allowance package.
• Optional transportation voucher.
• Childcare assistance.
• Extended parental leave policies.
• Wellness and quality-of-life partnership programs.
• Birthday day off.
• Discounts and benefits related to education, food, and lifestyle services.
• Opportunity to grow in a dynamic and innovative environment alongside highly skilled professionals.
• Inclusive workplace committed to diversity and equal opportunities.