Data Engineer (Databricks)

Location: Amsterdam, Netherlands; hybrid

Salary: €65,000–€80,000 gross per year, including holiday allowance

Company

hirify.global operates a digital B2B auction platform for used industrial equipment across nine brands and 175 countries, using auction technology, AI, and automation to support the circular economy.

What you will do

• Build and maintain Python ETL pipelines orchestrated with Airflow and processed in Databricks on Azure.
• Provision infrastructure with Terraform and deliver it through Azure DevOps pipelines and shared package artifacts.
• Build and integrate APIs with FastAPI or similar technologies for internal teams and services.
• Containerize workloads with Docker and operate them reliably in production.
• Document architecture, participate in RFC reviews, and translate stakeholder needs into technical specifications.
• Own monitoring, cost management, data quality, and incident response for delivered systems.

Requirements

• Strong Python skills with experience writing maintainable, tested, and reviewed code.
• Experience with Airflow or a comparable orchestration tool, Azure, Azure DevOps, and Databricks or a similar data platform.
• Experience with Terraform or another infrastructure-as-code tool, Docker, and dbt best practices.
• Knowledge of API design, data extraction from databases and services, Git, shell environments, debugging, and production containers.
• Working knowledge of networking concepts including DNS, TLS, firewalls, private endpoints, and VNets.
• Comfortable written English communication with colleagues across several countries.

Nice to have

• Experience in multi-brand, multi-country, or post-merger environments.
• Knowledge of analytical data modelling, Medallion architecture, or dimensional modelling.
• Experience with streaming or event-driven systems such as Kafka or Event Hubs.
• Experience with data governance, lineage, or cataloguing tools.

Culture & Benefits

• Established data platform with room for growth and meaningful ownership.
• Collaboration with data professionals from varied backgrounds and direct exposure to the business.
• Bonus scheme and pension scheme.
• 25 vacation days, laptop, and iPhone.
• Training opportunities.