Python Data Engineer

Candidate Profile

• Level of Experience: Mid-Senior / Senior level with strong commercial experience as a Python Developer / Python Engineer. 
• Python: Strong hands-on experience with Python in production environments. 
• Database: Very good knowledge of SQL and PostgreSQL, including experience with complex queries and large databases. 
• Data Processing: Strong practical experience with Pandas, PySpark, and/or Apache Spark when working with large datasets. 
• Large-Scale Data: Proven experience working with high-volume data and complex data structures. 
• Performance: Practical experience optimizing data processing, application performance, and database queries. 
• Data Migration: Experience with data migration, transformation, or large-scale data movement. 
• Education: University degree in Computer Science, Software Engineering, or another relevant technical field. 
• Languages: Very good English required for daily communication within an international environment. 

Nice to Have

• Knowledge of FastAPI, Flask, or Django. 
• Experience with Docker and Kubernetes. 
• Familiarity with Apache Kafka or other messaging technologies. 
• Knowledge of Apache Airflow or similar workflow orchestration tools. 
• Exposure to AWS, Azure, or GCP. 
• Experience with CI/CD pipelines. 
• Previous experience in financial services, asset management, or investment fund environments, particularly ETFs. 

Python Engineer

About the Role

We are looking for an experienced Python Engineer to join a large-scale, technically demanding project within the financial technology sector. The role will involve developing and maintaining backend and data-intensive solutions using Python and PostgreSQL, working with complex systems, large datasets, and performance-critical applications.

You will work within an international engineering environment and contribute to the development, optimization, and maintenance of scalable software solutions.

Key Responsibilities

• Develop and maintain backend applications and services using Python. 
• Design, implement, and optimize solutions based on PostgreSQL. 
• Work with large datasets and complex database structures. 
• Develop and maintain data processing and transformation components. 
• Optimize application performance, database queries, and data processing workflows. 
• Support system integrations and data migration initiatives. 
• Troubleshoot, debug, and resolve technical issues across backend environments. 
• Collaborate with international engineering teams on technical requirements and solution design. 
• Maintain, refactor, and enhance existing applications and services. 

Working Model & Logistics

• Location: Warsaw, Poland – hybrid model 
• Start Date: ASAP. 

,[] Requirements: Python, PostgreSQL, System integration, SQL, pandas, PySpark, Spark, Data structures, Data migration, FastAPI, Flask, Django, Docker, Kubernetes, Apache Airflow, CI/CD Pipelines, Logistics