Senior Data Engineer (Databricks & PySpark)

Location: 100% remote from Warsaw, Poland

Rate: Up to 38 EUR per hour

Company

hirify.global is a recruitment and consulting company providing project-based and permanent opportunities for clients in Poland and abroad.

What you will do

• Design, build, and operate the Sustainability Data Foundation on Databricks.
• Develop scalable data products and pipelines with Databricks, Delta Lake, and PySpark.
• Process complex data from ERP, procurement, sustainability, and external systems.
• Optimize workloads for performance, scalability, and cost efficiency.
• Implement automated data quality controls, CI/CD pipelines, testing, deployments, and Infrastructure as Code.
• Collaborate with sustainability experts, business analysts, and reporting teams on requirements, solution design, and production releases.

Requirements

• 5–7 years of experience designing, developing, and operating data platforms and pipelines.
• Extensive production experience with Databricks, including Azure Databricks and Databricks Workflows.
• Expert proficiency in PySpark, Python, Spark SQL, data modeling, and data pipeline design.
• Experience with Git-based development, version control, CI/CD, data lineage, metadata management, governance, auditing, and validation frameworks.
• Fluent English required in written and spoken communication.
• Proactive approach with strong troubleshooting and root-cause analysis skills.

Nice to have

• Experience with sustainability reporting, ESG data, and regulatory reporting.
• Knowledge of procurement, supplier, finance, and ERP data domains.
• Experience developing Databricks applications, dashboards, or user-facing data tools.

Culture & Benefits

• Full-time schedule of 40 hours per week.
• B2B cooperation agreement signed directly with hirify.global.
• Focus on reliability, operational excellence, and practical solutions.
• Opportunity to work on sustainability data, regulatory compliance, and advanced analytics.