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Compass

Senior Data Engineer – Data & Analytics

Compass

Data Engineer responsible for developing ETL/ELT data pipelines at Compass UOL. Collaborating on Azure Data projects and managing data modeling and governance processes.

Posted 7/1/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
AzureETLInformaticaOraclePythonSQL

About the role

Key responsibilities & impact
  • Develop and maintain data pipelines (ETL/ELT) using Databricks, Azure Data Factory and other components of the Azure ecosystem
  • Model and structure data in Data Lakes (ADLS), ensuring data quality, traceability and governance
  • Ingest and process data from multiple sources (APIs, monthly files, corporate systems)
  • Implement data solutions for:
  • PETROS Database (extraction and organization of pension data)
  • Structuring RAG for analysis of debt contracts
  • Processing quotation/price data (integration with external APIs such as CXL)
  • Collateral projects (judicial deposits, financial and real guarantees)
  • Reconcile purchases and sales with analysis of structured and unstructured data
  • Support architects in defining solutions and designing data architecture
  • Participate in gathering and detailing technical and functional requirements
  • Develop and publish APIs to expose data
  • Ensure best practices for versioning, CI/CD and DevOps
  • Work with relational databases (SQL Server, Oracle, among others)

Requirements

What you’ll need
  • Bachelor's degree in IT or a postgraduate qualification in the area (minimum 360 hours)
  • Strong experience with:
  • Python
  • SQL
  • Data Engineering (ETL/ELT)
  • Databricks
  • Azure Data Factory
  • Azure Data Lake Storage (ADLS)
  • Experience with data modeling
  • Knowledge of DevOps and best practices for version control
  • Experience creating and publishing APIs
  • Experience working in cloud environments (preferably Azure)
  • Differentials:
  • Experience with SAP Datasphere or TIBCO Datasphere
  • Knowledge of ETL tools such as Knime, Informatica PowerCenter
  • Experience with SAP PowerDesigner
  • Knowledge of AI solutions applied to data (e.g., RAG, analysis with LLMs)
  • Experience with financial data or contracts (experience in a Petrobras context is a plus)

Benefits

Comp & perks
  • Bachelor's degree in IT or a postgraduate qualification in the area (minimum 360 hours)
  • Strong experience with:
  • Python
  • SQL
  • Data Engineering (ETL/ELT)
  • Databricks
  • Azure Data Factory
  • Azure Data Lake Storage (ADLS)
  • Experience with data modeling
  • Knowledge of DevOps and best practices for version control
  • Experience creating and publishing APIs
  • Experience working in cloud environments (preferably Azure)
  • Differentials:
  • Experience with SAP Datasphere or TIBCO Datasphere
  • Knowledge of ETL tools such as Knime, Informatica PowerCenter
  • Experience with SAP PowerDesigner
  • Knowledge of AI solutions applied to data (e.g., RAG, analysis with LLMs)
  • Experience with financial data or contracts (experience in a Petrobras context is a plus)

ATS Keywords

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Hard Skills & Tools
Data ModelingAPIs DevelopmentData GovernanceData QualityVersion ControlCI/CDDevOpsData IngestionData ProcessingFinancial Data Analysis
Certifications
Bachelor's Degree in ITPostgraduate Qualification (minimum 360 hours)