Engenheiro de Dados

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Engenheiro de Dados based in Brazil. We are seeking a Data Engineer to help build, evolve, and maintain a scalable, reliable data architecture that supports strategic decision-making across the business. In this role, you will design and optimize data pipelines, develop ETL/ELT processes, and contribute to modern data warehouse, data lake, and lakehouse solutions. You will work with cloud infrastructure and data orchestration tools to ensure data availability, quality, and performance. Collaborating with teams across marketing, sales, technology, and business operations, you will translate business needs into effective technical solutions. This opportunity is ideal for someone who enjoys solving complex data challenges, improving engineering practices, and creating meaningful business impact in a technology-driven environment. The position offers a fully remote working arrangement and opportunities to contribute to the evolution of data infrastructure and governance.

Design, build, and evolve data architectures across data warehouses, data lakes, and lakehouse environments to support current and future business needs. Develop, maintain, and optimize robust, scalable ETL/ELT workflows for data ingestion, transformation, and delivery. Design and implement reliable data pipelines, ensuring efficient processing and consistent access to high-quality data. Model databases using established design principles and dimensional modeling techniques, including the Kimball methodology. Configure, maintain, and improve data infrastructure within AWS cloud environments, supporting the stability and evolution of existing systems. Orchestrate data workflows using dbt and Prefect, improving automation, maintainability, and operational efficiency. Work with database and data warehouse technologies, including PostgreSQL, Amazon Redshift, and Snowflake, as applicable to the architecture. Monitor and improve the availability, performance, reliability, and quality of data systems. Establish and maintain data governance practices, promote engineering standards, and implement processes that strengthen data quality. Support governance and back-office teams by maintaining dependable data structures and facilitating access to relevant information. Collaborate with marketing, sales, technology, and other business functions to understand requirements and deliver appropriate data solutions. Develop automations, dashboards, and metrics that address business needs and help teams make informed decisions. Translate business rules and operational requirements into effective technical data models and engineering solutions. Requirements: A completed or ongoing university degree in Computer Science, Computer Engineering, Mathematics, Engineering, or a related field. Solid experience with SQL and programming, preferably Python, to develop and maintain data processing solutions. Practical experience working with PostgreSQL, including database operations and data modeling. Knowledge and experience with AWS infrastructure in data engineering environments. Proficiency with data workflow orchestration and transformation tools, particularly Prefect and dbt. Understanding of data pipeline development, ETL/ELT processes, and scalable data engineering practices. Familiarity with data warehouse, data lake, and lakehouse architectures, including the design and modeling of data structures. Knowledge of database modeling principles and dimensional modeling methodologies, particularly Kimball, is an advantage. Experience with cloud data warehouse platforms such as Snowflake or Amazon Redshift is desirable. Understanding of data solution architecture and the ability to contribute to reliable, maintainable, and scalable systems. Strong analytical and problem-solving skills, with attention to data quality, performance, and technical reliability. Effective communication and collaboration skills, including the ability to work with technical teams and non-technical stakeholders. Ability to translate business requirements into practical technical solutions and contribute to continuous improvement. Benefits: Fully remote work: Work remotely from Brazil. Home office allowance: Financial support for working from home. Meal and food allowances: Access to meal and food benefits. Healthcare coverage: Medical and dental insurance premiums fully paid by the company. Wellhub membership: Access to a fitness and wellness network offering more than 250 activity types across a broad network of gyms. Results-sharing program: Participation in a program linked to the achievement of objectives and business goals. Birthday leave: One day off during your birthday month. Education assistance: Financial support for undergraduate studies, language courses, and postgraduate education, along with discounts at partner institutions. Life insurance: Coverage provided as part of the benefits package. Salary: No salary range was disclosed in the provided job description.