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.

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.

Working Model & Logistics

• Location: Warsaw, Poland – hybrid model

• Start Date: ASAP.