Data Engineer (Databricks)

Location: Bulgaria, Moldova, Romania, or another European Union country; work from the European Union region and a work permit are required.

Company

hirify.global is a global AI-first digital transformation and engineering partner delivering scalable products, platforms, data solutions, and AI services.

What you will do

• Build, maintain, and optimize batch and real-time data pipelines using Python, Databricks, and PySpark.
• Integrate internal and external data sources into analytical platforms and maintain the surrounding data ecosystem.
• Design ETL and ELT pipelines, Databricks Workflows, PyFunc models, and event-driven data flows.
• Implement Azure services including Key Vault, Logic Apps, Service Bus, and Azure DevOps CI/CD automation.
• Govern data assets using Unity Catalog and Data Lakehouse principles while improving reliability, maintainability, performance, testing, and monitoring.
• Collaborate with architects, analysts, data scientists, business stakeholders, and engineering teams; take ownership of technical areas and mentor less experienced engineers depending on seniority.

Requirements

• At least 3 years of commercial experience in software engineering, data engineering, or a related field.
• Experience in senior engineering, technical leadership, or highly autonomous delivery roles.
• Strong hands-on Python skills and production experience with Databricks and PySpark.
• Experience building modern data analytics platforms in Azure or similar cloud environments.
• Knowledge of scalable system design, data engineering best practices, Medallion Architecture, Azure DevOps, CI/CD, and Agile delivery.
• Work from the European Union region and hold a valid work permit.

Nice to have

• Databricks certification and experience with Terraform or ARM templates.
• Experience with MLOps, Kubernetes, event-driven architectures, and distributed data processing.
• Requirements engineering or business analysis experience.
• Experience applying GenAI, agent-based workflows, or AI-augmented development in the SDLC.

Culture & Benefits

• Work in a global engineering organization with more than 5,000 professionals across 16 countries.
• Collaborate with teams delivering modern applications, data platforms, and AI solutions for international clients.
• Continuous professional development, knowledge sharing, and exposure to modern cloud and data technologies.

Hiring process

• CV review.
• HR call, interview, and client interview.
• Final decision.