Senior Data Engineer – Cloud Data Platform (Azure Databricks)

Location: Amsterdam, North Holland, Netherlands

Salary: Negotiable EUR per year

Company

hirify.global is hiring for a role within a Data Engineering organization focused on modern cloud data platforms.

What you will do

• Design, develop, and maintain scalable data pipelines and data products.
• Build and optimize data ingestion, transformation, and storage solutions for analytics, reporting, and operational use cases.
• Develop and support ETL/ELT processes integrating multiple data sources into trusted and governed data platforms.
• Implement source control, CI/CD pipelines, and deployment automation using Git and Azure DevOps.
• Ensure data quality, reliability, scalability, monitoring, and operational excellence across the data ecosystem.
• Collaborate with business and technical stakeholders, troubleshoot production issues, and contribute to data architecture and engineering standards.

Requirements

• 5+ years of experience in data engineering.
• Hands-on experience with Azure Databricks, Apache Airflow, Azure Data Lake Storage, and Azure Functions.
• Strong proficiency in Python with object-oriented programming, PySpark, and SQL.
• Experience with Apache Spark performance tuning and ETL/ELT pipeline development.
• Knowledge of dimensional modelling and modern cloud data platforms.
• Experience working in Agile/Scrum, DevOps, and DataOps environments, preferably in financial services or another highly regulated environment.

Nice to have

• Experience with monitoring, observability, logging, and data lineage.
• Knowledge of data governance, metadata management, and data quality frameworks.
• Azure and/or Databricks certifications.

Culture & Benefits

• Collaborative Agile environment with strong engineering and data practices.
• Opportunity to contribute to architecture, standards, and continuous improvement.
• Role combining hands-on engineering with influence over how data solutions are designed and delivered.