Data Engineer (Databricks/PySpark)

Location: Remote, Poland

Company

hirify.global is an IT consulting company delivering software development and IT consulting services worldwide. The project supports a global AdTech and data analytics customer developing high-load platforms for large-scale marketing and advertising data processing.

What you will do

• Develop and maintain batch and near real-time data pipelines for large data volumes.
• Use Databricks, PySpark, and SQL to transform, validate, and optimize data.
• Implement and support scalable Data Lakehouse solutions using engineering standards.
• Build, test, and automate ETL processes and data workflows.
• Improve data quality, organization, and reliability across platforms.
• Collaborate with engineers, analysts, and stakeholders; troubleshoot, optimize, and monitor pipelines.

Requirements

• 2+ years of experience in Big Data development and database design.
• Strong hands-on SQL and Python development skills.
• Hands-on experience with PySpark.
• Experience developing and maintaining data pipelines in Databricks.
• Experience with Delta Lake and Medallion Architecture, including Bronze, Silver, and Gold layers.
• Strong analytical and problem-solving skills.
• Intermediate or higher English level.

Nice to have

• Experience with AWS services, including S3.

Culture & Benefits

• Remote work from Poland.
• Work with modern Data Lakehouse architecture, high-load distributed systems, and cloud-native technologies.
• Opportunity to deepen expertise in Databricks, PySpark, Delta Lake, and scalable data platforms.
• Collaboration with experienced data engineering professionals on enterprise-scale solutions.