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Avanade

Data Engineering Consultant

Avanade

Senior Data Engineer building Databricks cloud data solutions for Avanade clients. Developing scalable Lakehouse pipelines, governance, and analytics integrations with global teams.

Posted 9/2/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in developing and optimizing data pipelines using Databricks, with a strong focus on data engineering best practices, cloud environments, and data governance. Proficient in SQL, Python, and data orchestration tools, while effectively collaborating with global teams in English.

Highest-signal resume keywords
DatabricksData EngineeringSQLPythonMicrosoft Azure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentData TransformationData Processing SolutionsData ModelingData OrchestrationVersion ControlCI/CDData GovernancePerformance MonitoringTroubleshooting
Soft Skills
CollaborativeAnalyticalStrong Communication Skills
Tools & Technologies
PySparkGitDevOpsDataOps
Industry Keywords
Lakehouse ArchitectureCloud EnvironmentsData IntegrationData SecurityInternational Collaboration

Tech Stack

Tools & technologies
AzureCloudPySparkPythonSQL

About the role

Key responsibilities & impact
  • Develop, maintain, and optimize data pipelines using Databricks
  • Build ingestion, transformation, and processing solutions for large volumes of data
  • Work with Lakehouse architectures and cloud environments
  • Implement data engineering best practices, version control, and CI/CD
  • Monitor pipeline performance, quality, and reliability
  • Analyze and troubleshoot data- and performance-related issues
  • Participate in architectural decisions and the evolution of the data platform
  • Collaborate with global teams in technical and functional meetings conducted in English
  • Ensure data governance, security, and standardization
  • Support business teams with analytics solutions and data integration

Requirements

What you’ll need
  • Strong experience with Databricks
  • Experience in data engineering and distributed processing
  • Advanced knowledge of SQL
  • Experience with Python and/or PySpark
  • Experience working in cloud environments, preferably Microsoft Azure
  • Knowledge of data modeling and Lakehouse/Data Lake architecture
  • Experience with data orchestration and integration tools
  • Knowledge of Git and DevOps/DataOps practices
  • Experience helping resolve complex data issues and optimize performance
  • Experience working with international teams
  • Collaborative and analytical profile with strong communication skills
  • Advanced/fluent English required for verbal communication, global meetings, and technical documentation

Benefits

Comp & perks
  • Meal or food allowance
  • Multi-benefit card (up to Senior Consultant level)
  • Medical and dental insurance
  • Certifications and training
  • Life insurance
  • Private pension plan
  • Avababy: pregnancy support and kits for new parents
  • Company profit-sharing program
  • Wellhub
  • Childcare assistance
  • Career mentoring
  • Birthday Off policy (one day off during your birthday month)
  • Wellness sessions
  • For management positions: company vehicle, parking, and fuel allowance