Medior Python Data Engineer

Finalyse is a leading provider of financial risk management solutions specializing in risk modelling, valuation, and analytics. With over 30 years of experience in the financial industry, Finalyse has a proven track record of helping clients navigate complex financial landscapes and make informed decisions. We pride ourselves on our ability to provide customized solutions that meet each client's unique needs. Our team of experts has deep knowledge and expertise in a wide range of financial products, including derivatives, structured products, and alternative investments.

At Finalyse Managed Services, we have been valuing derivatives and structured products since 2008 and we are responsible for market data collection, products configuration in our internal solution and reporting to the clients.

Currently, we look for a Medior Python Data Engineer to strengthen our team and we propose a fixed-term B2B or Umowa o Pracę contract with potential conversion to a permanent contract.

ABOUT THE JOB

Project description: As a Python Data Engineer at Finalyse, you will be responsible for developing, maintaining, and optimizing our data infrastructure and data pipelines. You will work closely with quants, analysts, and other stakeholders to ensure that our data systems are robust, scalable, and efficient.

Responsibilities:

• Design, develop, and maintain data pipelines using Python and related technologies.
• Optimize and improve existing data workflows and infrastructure.
• Collaborate with quants and analysts to understand data requirements and deliver high-quality data solutions.
• Implement data quality checks and monitoring systems.
• Ensure data security and compliance with relevant regulations.
• Troubleshoot and resolve data-related issues and inconsistencies.
• Document data processes, workflows, and systems.

REQUIREMENTS

Required Technical Skills

• Proficiency in Python and its data processing libraries (preferred libraries include Pandas, NumPy, Airflow).
• Familiarity with database systems (preferably Microsoft SQL Server) and ORMs (e.g., SQLAlchemy).
• Experience with Git and collaborative development workflows.
• Experience with CI/CD (preferably with GitLab CI/CD).
• Understanding of ETL processes and data pipeline architectures.
• Experience in working with Docker.
• Solid knowledge of Domain Driven Design and best software development practices.
• Proficiency in OOP and test-driven development.

Nice to have (optional):

• Experience in working with and developing REST APIs (preferably via FastAPI library).
• Knowledge of cloud platforms like Azure (including Microsoft Azure DevOps Server) or AWS.
• Experience with ML models training and deployment.
• Familiarity with C#.
• Familiarity with Graylog or ELK.
• Experience with CI/CD for databases.
• Experience in working with financial market data or financial products, especially derivatives.        
• Familiarity with Agile development methodologies (e.g., Scrum, Kanban).

Education and Experience:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven at least 2-years experience as a Data Engineer or in a similar role.

Communication and Teamwork:

• Excellent communication skills, both verbal and written, to collaborate with team members and stakeholders effectively.
• The ability to work well in a team environment and participate in code reviews, discussions, and knowledge sharing sessions.
• Good knowledge of the English language. It is a must as it is our everyday language.

WE OFFER

• The opportunity to join a diverse, multinational, dynamic team of talented and passionate individuals with a broad range of analytical and technical skills.
• An excellent working environment with a space for defining your own specialization and career within our flat and flexible structure.
• The opportunity to take initiatives and responsibilities quickly in a fast growing company.
• Extensive training programs adapted to your personal needs, both on technical matters as well as on softs skills.
• Coaching and mentoring by more experienced colleagues.
• Possibility to work in a hybrid mode: both in our office in Warsaw, Rondo Wiatraczna and from home; however, we expect our resources to work in the office at least 2 - 3 days a week.