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Senior Cloud Data Engineer: Azure & Databricks (12-month)

Summary

Design and build scalable Azure and Databricks data pipelines and warehouses, using PySpark, SQL, and CI/CD to modernize enterprise analytics and reporting.

Location: Sao Paulo

Duration: Initial 12-month contract with extension potential

Start Date: ASAP

Global Enterprise Partners is currently looking for Data Engineering & Analytics professionals with strong experience across Microsoft Azure, Databricks, Data Warehousing, and Modern Data Platforms for a large-scale data transformation programme.

Our client is investing heavily in modernising their enterprise data landscape and is looking for:

  • 2x Data Engineers
  • 1x Senior Data Engineer
  • 1x Technical Lead

to support the design, development, and delivery of scalable cloud-based data solutions.

Requirements

3-10+ years of experience within Data Engineering, Data Warehousing, Business Intelligence, or Analytics environments.

Strong hands‑on experience with:

  • Microsoft Azure
  • Azure Data Factory
  • Azure Synapse Analytics
  • Databricks
  • SQL
  • Python
  • PySpark
  • SAP Datasphere
  • Power BI
  • Experience building and maintaining cloud-based ETL/ELT data pipelines.
  • Strong understanding of data warehousing concepts, dimensional modelling, and data integration best practices.
  • Experience working with Azure DevOps, GitHub, and CI/CD practices.
  • Experience working within Agile, DevOps, or DataOps environments.
  • Strong problem‑solving skills with the ability to optimise data delivery, reliability, and performance.Excellent communication and stakeholder management skills.
  • Experience mentoring junior engineers or leading technical teams is highly desirable.

Key Responsibilities

  • Design, develop, and enhance enterprise‑scale data pipelines and analytics solutions.
  • Build scalable cloud data platforms supporting reporting, analytics, and data science initiatives.
  • Implement DataOps, DevOps, and MLOps best practices.
  • Deliver high‑quality, fault‑tolerant data solutions that improve performance and reduce operational costs.
  • Collaborate with Data Scientists, Architects, Business Users, and Analytics teams to deliver business value.
  • Support enterprise data governance, integration, and quality initiatives.
  • Mentor and support junior engineers and project teams.
  • Contribute to continuous improvement of data architecture, standards, and ways of working.

Role Levels

Data Engineer (2 Positions)

  • 3+ years of Data Engineering experience.
  • Experience developing Azure‑based data solutions and ETL pipelines.

Senior Data Engineer

  • 7+ years of Data Engineering experience.
  • Advanced Azure Data Platform expertise.
  • Experience leading deliveries and mentoring engineering teams.

Technical Lead

  • 9+ years of Data Engineering and Analytics experience.
  • Strong background delivering enterprise data warehouse and analytics projects.
  • Experience leading stakeholders, delivery teams, and multiple concurrent projects.
  • Expertise in data architecture, governance, modelling, and enterprise data integration.

See also