Data Engineer (Databricks)

Quick Facts

• Role: Data Engineer focused on Databricks
• Location: Warsaw (Hybrid: 2 days/week in office)
• Work model: B2B (full-time agreement)
• Budget: 140–153 PLN net/hour
• Project duration: until end of 2026 (possible extension)
• Start: ASAP
• Eligibility: EU citizenship and residence in Poland

Description

You will build and optimize modern data platforms on Azure and Databricks. The role includes designing, developing, and maintaining scalable data pipelines and data lakehouse solutions that support analytics, reporting, and regulatory needs. You will also support production environments and contribute to performance optimization and data governance compliance.

Responsibilities

• Design, develop, and maintain scalable data pipelines
• Build and optimize data lakehouse solutions for analytics, reporting, and regulatory requirements
• Implement data ingestion from multiple sources (databases, APIs, files, messaging/event streams)
• Perform data transformation, validation, and quality checks across end-to-end flows
• Collaborate with Business Analysts and stakeholders to translate requirements into data solutions
• Support production environments, perform incident analysis, and optimize performance
• Ensure compliance with data governance, security, and regulatory standards

Requirements

• Minimum 4 years of data engineering experience
• 2+ years of hands-on Databricks and Delta Lake experience in production environments
• 2+ years of experience developing and maintaining Azure Data Factory (ADF) pipelines
• Strong Python, Spark SQL, and PySpark experience
• Experience with Azure Data Lake Storage Gen2 (ADLS Gen2)
• Knowledge of Medallion architecture and dimensional models
• REST APIs plus batch and streaming ingestion experience
• Strong understanding of data quality, performance tuning, and scalability
• Strong understanding of data modeling, ETL/ELT processes, and modern data architecture principles
• Very good English skills
• EU citizenship and residence in Poland

Benefits

• Hybrid working model
• Dynamic and innovation-driven engineering environment
• Private medical care with dental care (70% cost coverage)
• Multisport card (also for accompanying person)
• Life insurance