Middle/Senior Data Engineer (Databricks)

TL;DR

Middle/Senior Data Engineer (Python/Databricks): Developing and maintaining data pipelines and governance systems for a global mobility platform with an accent on data access, PII detection, and Infrastructure-as-Code. Focus on designing scalable data products, automating grant/rollback processes via Terraform, and optimizing lakehouse architecture.

Location: Must be based in Poland, Kazakhstan, EU, Georgia, Armenia, or Serbia. Working time zone: CET

Company

hirify.global is a recruitment and staffing agency providing technical talent for global mobility and transportation platforms.

What you will do

• Develop and maintain data pipelines and governance systems on Databricks using Unity Catalog and Delta Lake.
• Conduct in-depth data analysis and profiling to classify data by domain and detect personal data (PII).
• Design data access systems and automate grant/rollback processes as Infrastructure-as-Code with Terraform.
• Review access architectures and contracts to ensure flexibility and reusability across the platform.
• Monitor and support deployed pipelines and quality checks to ensure performance expectations are met.
• Maintain technical documentation for data contracts, access models, and governance processes.

Requirements

• 3+ years of professional experience in Data Engineering.
• Strong proficiency in Python and SQL.
• Experience with Spark/PySpark for streaming, batch, and asynchronous data processing.
• Knowledge of data warehouse/lakehouse architecture and data modeling.
• Hands-on experience with Databricks, GCP, or AWS.
• Proficiency with Terraform for infrastructure automation.
• English: Upper-Intermediate (B2) required.

Culture & Benefits

• Fully remote work arrangement.
• Opportunity to work with a global mobility platform.
• Provision of client equipment or access via virtual workstations.