Staff Data Engineer (Databricks) - Remote Portugal

ABOUT THE OPPORTUNITY

Join a dynamic technology consultancy where data engineering excellence drives business transformation. We're seeking an experienced Senior Data Engineer to architect and build robust data pipelines using cutting-edge Azure technologies. This role offers you the chance to lead the design of scalable data solutions that transform raw information into valuable business assets in a fast-paced, collaborative environment.

PROJECT & CONTEXT

You'll work on sophisticated data platforms built on Azure with Databricks at the core. The project involves designing end-to-end data pipelines handling complex ETL and ELT workflows, transforming raw data into analytics-ready datasets. You'll architect solutions using modern data modeling methodologies including Kimball, Inmon, and Data Vault, ensuring scalability and maintainability across multiple business domains.

WHAT WE'RE LOOKING FOR (Required)

• 9+ years of professional experience as a Data Engineer in fast-paced production environments
• Expert-level SQL proficiency with SQL and SQL-like query languages for complex data manipulation
• Advanced Python expertise with proven experience organizing Python-based data projects
• Azure Databricks mastery (mandatory): Vast hands-on experience building data solutions
• Data pipeline development with proven track record building scalable, reliable pipelines
• ETL/ELT expertise designing processes to transform raw data into golden datasets
• Azure cloud knowledge with strong experience across Microsoft Azure data services
• Data modeling expertise in Kimball, Inmon, and Data Vault 2.0 methodologies
• Language requirement: Fluent English (mandatory)

NICE TO HAVE (Preferred)

• Automated testing frameworks for data projects (unit and integration testing)
• Business Intelligence and Business Analyst background
• Infrastructure as Code experience with Terraform or CloudFormation
• Data visualization tools proficiency
• CI/CD automation using GitLab
• Team leadership and mentoring experience
• Data platform observability and monitoring integration
• Strong communication skills tailored for technical and business audiences