Senior Python Developer & Data Engineer

Quick Facts

• Location: Kraków, Poland (Hybrid: 3 days per week in the office)
• Experience: 10+ years

Description

Senior Python Developer & Data Engineer role focused on designing, developing, and optimizing large-scale data processing solutions and ETL/ELT pipelines. You will work with PySpark, Databricks, Oracle databases, and Unix/Linux environments to ensure performance, scalability, reliability, and data quality. The work includes batch job scheduling, production troubleshooting, and collaboration with cross-functional stakeholders.

Role Responsibilities

• Design, develop, and maintain scalable data processing applications using Python and PySpark
• Build, enhance, and optimize ETL/ELT pipelines for large-scale data integration and transformation
• Develop and maintain data engineering solutions using Databricks
• Work with Oracle databases, including complex SQL queries and performance optimization
• Develop and maintain Unix/Linux shell scripts for data processing and automation
• Schedule, monitor, and troubleshoot batch jobs and workflows using AutoSys
• Analyze technical requirements and translate them into maintainable solutions
• Optimize pipeline performance to ensure data accuracy, consistency, and reliability
• Troubleshoot production issues, perform root cause analysis, and implement permanent fixes
• Participate in code reviews, technical design discussions, testing, and documentation
• Follow software development best practices, coding standards, and delivery processes

Requirements

• 10+ years of overall experience in software development, data engineering, or a related technical role
• Strong hands-on experience in Python development
• Solid experience with PySpark and distributed data processing
• Proven experience developing and maintaining ETL pipelines and data integration solutions
• Practical experience with Databricks and large-scale data processing
• Strong knowledge of Oracle databases and SQL
• Experience working in Unix/Linux environments, including shell scripting
• Hands-on experience with AutoSys job scheduling and workflow monitoring
• Previous software development experience in Java or C#, with knowledge of OOP and software engineering principles
• Strong analytical, problem-solving, and debugging skills
• Experience working in Agile teams and collaborating with cross-functional stakeholders
• Excellent communication skills and ability to work independently in a senior engineering role

Preferred Qualifications

• Experience optimizing Spark jobs and processing large volumes of data
• Knowledge of data modeling, data warehousing, and data quality practices
• Experience with production support, incident management, and performance tuning
• Familiarity with CI/CD, Git, automated testing, and code review practices
• Experience working on enterprise-scale data platforms