Data Engineer (Databricks)

Location: Hoofddorp, North Holland, Netherlands; partially remote

Company

hirify.global runs and reimagines mission-critical technology systems for leading businesses, using AI-powered insight to support smarter decisions and faster innovation.

What you will do

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and semi-structured data.
• Build data-processing workloads with Databricks, PySpark, Python, and SQL.
• Implement Delta Lake and Bronze/Silver/Gold Medallion Architecture patterns.
• Perform data transformation, validation, reconciliation, and data-quality checks.
• Integrate multiple source systems into enterprise data platforms and optimize Databricks, Spark, and SQL workloads.
• Develop orchestration, scheduling, monitoring, logging, exception handling, recovery, CI/CD, and automated deployment for data-engineering workloads.

Requirements

• 4–8 years of Data Engineering experience.
• Hands-on experience with Databricks and PySpark.
• Proficiency in Python, SQL, ETL/ELT, Delta Lake, and data pipeline development.
• Experience building and supporting production-grade ETL/ELT pipelines.
• Understanding of Lakehouse architecture, data modelling, performance optimization, and data-quality practices.

Nice to have

• Azure Data Factory, ADLS Gen2, Azure Databricks, Airflow, Unity Catalog, CI/CD, Git, Terraform, and data-quality frameworks.

Culture & Benefits

• Partially remote, hybrid-friendly work environment.
• Support for financial, mental, physical, and social well-being through Be Well programs.
• Personalized development goals, continuous feedback, coaching, and career-path support.
• Learning opportunities and certifications with Microsoft, Google, and Amazon.
• Inclusive culture focused on belonging, empathy, continuous learning, and shared success.

Hiring process

• If applying through an employee referral, select “Employee Referral” and enter the referring contact’s hirify.global email address when asked how you heard about the company.