Data Engineer SR (Databricks | ADF | AI) | SR

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer SR (Databricks | ADF | AI) | SR based in Brazil.

This senior data engineering role sits at the heart of modern data-driven transformation initiatives, where you will design and build scalable data pipelines and architectures that enable advanced analytics and AI use cases.
You will work with large-scale cloud data ecosystems, integrating structured and unstructured data from multiple enterprise sources into robust data platforms.
The role has a strong focus on Databricks and Azure-based services, supporting the development of high-performance ETL/ELT pipelines and data products.
You will contribute directly to critical business solutions such as credit analysis, financial guarantees, and document intelligence using RAG and AI-driven approaches.
Working in a highly technical and collaborative environment, you will partner with architects and stakeholders to translate complex requirements into scalable solutions.
You will also play a key role in modernizing legacy reporting systems and enabling real-time, data-powered decision-making across the organization.

Accountabilities:

• Design, build, and maintain scalable data models and pipelines using Databricks, Azure Data Factory, and Azure Data Lake Storage (ADLS).
• Develop and optimize ETL/ELT processes to integrate structured and unstructured data from APIs, files, and enterprise systems.
• Work with SAP Datasphere and relational databases (SQL Server, Oracle) to support enterprise data integration and modeling.
• Structure and implement RAG solutions for contractual, financial, and document-based datasets supporting AI-driven analysis.
• Build data pipelines to process external API data (including CXL systems), transforming it into analytics-ready datasets.
• Develop and maintain datasets for financial domains such as judicial deposits, guarantees, and credit-related structures.
• Support the creation of data products such as Position Manager and reporting layers replacing legacy BI tools.
• Collaborate with architects and stakeholders to refine requirements and ensure scalable, high-quality data solutions.
• Create and expose APIs for data consumption and integration across systems.
• Apply DevOps practices to ensure reliable deployment, monitoring, and version control of data workflows.

Requirements:

• Strong hands-on experience with Databricks, Azure Data Factory, ADLS, and cloud-based data architectures.
• Solid knowledge of SQL (SQL Server, Oracle) and data modeling concepts.
• Proven experience in Python for data engineering and pipeline development.
• Experience with ETL/ELT tools and building scalable data integration solutions.
• Ability to analyze business requirements and support architects in solution design.
• Experience in API development and integration.
• Familiarity with DevOps practices applied to data engineering environments.
• Minimum 4 years of professional experience in IT, supported by a relevant degree or postgraduate qualification (minimum 360h).
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders.

Differentials:

• Experience with SAP Datasphere.
• Knowledge of tools such as TIBCO, Knime, PowerCenter, or SAP PowerDesigner.
• Exposure to data cataloging, governance, or advanced data platform ecosystems.

Benefits:

• Competitive compensation package
• Health and dental insurance
• Flexible work arrangements (remote/hybrid depending on project)
• Meal and food allowance
• Access to cutting-edge AI and data technologies
• Continuous learning and upskilling programs
• Career development in global transformation projects
• Participation in innovative AI and data initiatives
• Life insurance and wellness benefits
• Corporate partnerships and employee support programs.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1