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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data pipelines using Databricks and Azure Data Factory, with a strong focus on data modeling, governance, and quality. Proficient in creating and publishing APIs, and experienced in cloud environments, particularly Azure.

Highest-signal resume keywords

PythonSQLData Engineering (ETL/ELT)DatabricksAzure Data Factory

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingAPIs DevelopmentData GovernanceData QualityVersion ControlCI/CDDevOpsData IngestionData ProcessingFinancial Data Analysis

Tools & Technologies

Azure Data Lake Storage (ADLS)SQL ServerOracleSAP DatasphereTIBCO DatasphereKnimeInformatica PowerCenterSAP PowerDesigner

Certifications & Qualifications

Bachelor's Degree in ITPostgraduate Qualification (minimum 360 hours)

Industry Keywords

Data PipelinesCloud EnvironmentsFinancial ContractsPension DataDebt Contracts

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)