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Team: IT
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Pessoa Engenheira de Dados Pleno based in Brazil.
This role is focused on building and evolving a modern data and analytics ecosystem that supports strategic decision-making across the business. You will work at the intersection of data engineering and business intelligence, designing scalable data pipelines, robust data models, and executive-level dashboards. The position involves handling large and complex datasets, ensuring data quality, governance, and performance across all analytics solutions. You will collaborate closely with cross-functional teams, translating business needs into reliable data products. Beyond technical execution, you will contribute to architecture decisions and best practices, helping shape the organization’s data maturity. This is a highly collaborative environment where analytical thinking, autonomy, and continuous improvement are strongly valued.
Accountabilities:
- Develop and maintain ETL/ELT pipelines integrating data from multiple systems and sources
- Design and structure analytical data models optimized for reporting and BI consumption (Power BI and related tools)
- Build scalable, high-performance data models using dimensional modeling techniques (Star Schema, Snowflake)
- Create dashboards, KPIs, and executive reporting frameworks to support business decision-making
- Investigate and resolve data quality issues, inconsistencies, and pipeline failures through root cause analysis
- Work with large datasets and optimize queries and data workflows for performance and reliability
- Develop data transformations using SQL, Power Query, and Python when needed
- Contribute to semantic layer modeling and analytics architecture (including Azure Analysis Services when applicable)
- Participate in defining data architecture standards, governance practices, and modeling guidelines
- Document data pipelines, business rules, and analytical models to ensure clarity and maintainability
- Collaborate with multidisciplinary teams in strategic analytics and BI initiatives
- Support and mentor junior professionals, sharing technical knowledge and best practices
- Solid experience in Data Engineering and Business Intelligence roles
- Advanced SQL knowledge and strong experience with data manipulation and querying
- Experience building and maintaining ETL/ELT pipelines
- Knowledge of infrastructure deployment using Terraform
- Strong understanding of dimensional modeling (Star Schema and Snowflake)
- Hands-on experience with Power BI and dashboard development
- Experience with Power Query for data transformation
- Proficiency in Python for data processing and automation
- Experience with Git for version control
- Knowledge of Data Warehouse architecture and large-scale data environments
- Strong analytical and troubleshooting skills for data pipelines and systems
- Ability to document technical and functional processes clearly
- Strong communication skills and ability to work with both technical and business stakeholders
- Proactive mindset with ability to propose improvements in tools, architecture, and processes
- Bachelor’s degree completed (all fields accepted)
- Flexible benefits package adaptable to your lifestyle and needs
- Health and dental insurance coverage
- Life insurance
- Pet insurance assistance
- Mobility support (fuel, ride apps, transport options depending on project)
- Flexible reimbursement program (education, wellness, leisure, and more)
- Meal or food allowance
- Birthday day off
- Gympass access
- Financial advisory services and facilitated credit options
- Annual bonus program and referral commissions
- Parental leave (extended maternity and paternity benefits)
- Childcare assistance during the first year
- Discounts and partnerships with retail and pharmacy networks
- Professional development programs, mentorship, and continuous learning opportunities
- Structured career growth pathways in a global consulting environment.
Requirements:
Benefits:
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