Python Data Engineer

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.

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.