Engenheiro de dados Senior

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Engenheiro de Dados Sênior in Brazil.

This role is part of a data-driven environment focused on building, evolving, and optimizing modern data platforms that support business intelligence and analytics at scale. You will act as a key technical reference in end-to-end data architecture, ensuring reliable, high-performance data pipelines and well-structured analytical models across cloud and hybrid environments. The position requires strong ownership of data flows, from ingestion to consumption, working closely with business and analytics teams to translate requirements into scalable technical solutions. You will contribute to the design of modern lakehouse and data warehouse architectures, ensuring governance, quality, and performance standards. The environment is highly technical and collaborative, involving multiple cloud platforms and evolving data technologies. It is a great opportunity to work on complex, large-scale data ecosystems with direct impact on business decision-making.

• Analyze business requirements and data flows to understand end-to-end processes and translate them into scalable data solutions.
• Design, develop, and maintain data pipelines across cloud and hybrid environments, ensuring reliability and performance.
• Define and evolve data models (dimensional and relational), supporting analytics and BI consumption needs.
• Implement and optimize data ingestion and transformation processes using tools such as AWS, Azure, and Microsoft Fabric.
• Ensure data quality, governance, lineage, and integrity across all stages of the data lifecycle.
• Collaborate with BI and analytics teams to enable efficient data consumption through Power BI and semantic models.
• Support integration between on-premise systems (e.g., Teradata) and cloud-based architectures.
• Contribute to best practices, standards, and continuous improvement of the data platform ecosystem.

Requirements:

• Strong experience as a Data Engineer, with senior-level expertise in data architecture and pipeline development.
• Advanced knowledge of SQL, including query optimization, performance tuning, and data modeling (relational and dimensional).
• Experience with cloud platforms such as Azure (Microsoft Fabric) and AWS (Glue, Lambda, S3).
• Proficiency in Python for data processing and pipeline development, including handling JSON and semi-structured data.
• Experience designing and maintaining Data Lake architectures, including layered structures (Landing, Raw, Trusted).
• Familiarity with infrastructure as code tools such as Terraform.
• Knowledge of BI tools such as Power BI, including semantic modeling and performance optimization.
• Strong analytical mindset, autonomy, ownership, and ability to work in complex, data-intensive environments.
• (Nice to have) Experience with GCP, ODI/Teradata, data governance tools like Purview, Airflow, CI/CD, DataOps, and observability practices.

Benefits:

• Competitive compensation aligned with senior technical responsibilities.
• Fully remote work model within Brazil.
• Opportunity to work with modern cloud data architectures (Lakehouse, Data Lake, and hybrid systems).
• Exposure to multiple cloud ecosystems including AWS, Azure, and potentially GCP.
• Participation in large-scale data engineering initiatives with real business impact.
• Collaborative and technically advanced environment focused on continuous learning.
• Flexibility and autonomy in a senior-level engineering role.