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.