HumanIT Digital ConsultingStaff Data Engineer (Databricks) - Remote Portugal
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Staff Data Engineer (Databricks) - Remote Portugal
Porto, Portugal
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Job Openings Staff Data Engineer (Databricks) - Remote Portugal
About the job 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
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ABOUT THE OPPORTUNITY
\nJoin 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.
\nPROJECT & CONTEXT
\nYou'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.
\nWHAT WE'RE LOOKING FOR (Required)
\n- \n
- 9+ years of professional experience as a Data Engineer in fast-paced production environments \n
- Expert-level SQL proficiency with SQL and SQL-like query languages for complex data manipulation \n
- Advanced Python expertise with proven experience organizing Python-based data projects \n
- Azure Databricks mastery (mandatory): Vast hands-on experience building data solutions \n
- Data pipeline development with proven track record building scalable, reliable pipelines \n
- ETL/ELT expertise designing processes to transform raw data into golden datasets \n
- Azure cloud knowledge with strong experience across Microsoft Azure data services \n
- Data modeling expertise in Kimball, Inmon, and Data Vault 2.0 methodologies \n
- Language requirement: Fluent English (mandatory) \n
NICE TO HAVE (Preferred)
\n- \n
- Automated testing frameworks for data projects (unit and integration testing) \n
- Business Intelligence and Business Analyst background \n
- Infrastructure as Code experience with Terraform or CloudFormation \n
- Data visualization tools proficiency \n
- CI/CD automation using GitLab \n
- Team leadership and mentoring experience \n
- Data platform observability and monitoring integration \n
- Strong communication skills tailored for technical and business audiences