Cloud Data Engineer

A career in our Tech & Data practice will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities.

The role

Responsibilities

As a Data Engineer, you will be implementing data engineering and BI projects using Microsoft services, in both cloud and on-prem client infrastructures. Your main responsibilities will include, but are not limited to:

• Build data pipelines to move and transform data across cloud and on‑prem systems
• Develop optimised data models ensuring performance, scalability and data quality
• Integrate data from multiple sources while applying governance and quality controls
• Implement optimised datasets for reporting and analytics
• Work with stakeholders to turn business needs into scalable data solutions.

Your profile

• BSc or MSc in Computer Science, Engineering or a related technical field
• At least 2 years of experience in ETL/ELT and data integration using Azure and/or Databricks
• Proficiency in SQL (T-SQL/KQL) and Python/PySpark for data transformation and processing, with hands-on experience in Azure Data Factory, ADLS, Microsoft Fabric and/or Databricks
• Strong understanding of data architecture and modelling (dimensional/relational), with experience in scalable cloud and on‑prem platforms (SSMS, SSIS, SSAS, SSRS)
• Know-how in data quality, governance and/or Power BI data modelling
• Fluent in both written and spoken English and Portuguese.

We believe that success lies in people and in your willingness to push boundaries. If this resonates with you, you've found your place. It's time to bring your expertise to the 'Team PwC' and drive impactful change.

We spark curiosity so you can do inspiring work.

Grow here. Go further.