Senior Python Software Engineer

The Role

Herzum is looking for a talented and proactive Senior Python Software Engineer to join our team and support one of our Clients on data-driven projects led by ECAT scientific staff. The successful candidate will be responsible for the development, maintenance, and documentation of software applications, with a strong emphasis on data analytics, data engineering, and data collection tools. This role covers the full software development lifecycle, including requirements gathering, development, testing, and deployment.

Key Responsibilities:

• Design, develop, maintain, and document software solutions—primarily in Python—for data analytics, data engineering, and data collection.
• Collaborate closely with ECAT scientific staff on data science projects by managing software engineering tasks such as requirements analysis, implementation, testing, and documentation.
• Participate in project update meetings, stakeholder reviews, and technical discussions.
• Build and maintain robust data pipelines to handle data ingestion, transformation, and storage from various sources.
• Apply best practices in software testing, including unit testing, regression testing, negative testing, and stress testing, to ensure high-quality and reliable software.
• Define APIs and deploy tools and services using DevOps practices and CI/CD pipelines (e.g., GitLab or similar platforms).
• Debug complex Python systems and resolve deployment-related issues, such as environment configuration, dependency management, network analysis, and GPU integration.
• Utilize containerization and orchestration tools such as Docker and Kubernetes for efficient deployment and scalability of data science applications.
• Stay current with emerging technologies and libraries in machine learning and data science.
• Produce clear, concise, and user-friendly technical documentation for both end-users and developers.
  
  
  

Required Skills & Experience:

• Solid experience in software development, particularly using Python.
• Strong understanding of software testing methodologies and experience with test automation.
• Proficient in DevOps tools, CI/CD workflows, and version control systems.
• Skilled in debugging and deploying complex software applications.
• Hands-on experience with Docker and Kubernetes (or equivalent technologies).
• Excellent technical writing skills in English.
• Nice to have: certifications or formal training in Data Science, Machine Learning, or related fields.
  
  
  

Specific Expertise:

• Proven experience in designing and developing scalable data pipelines.
• Deep knowledge of test-driven development and hands-on experience with software testing frameworks.
  
  
  

Non-Technical Skills:

• Strong analytical thinking and problem-solving capabilities.
• Proactive mindset with a strong sense of ownership and responsibility.
• Excellent time management and the ability to handle multiple projects with overlapping deadlines.
• Comfortable working in international, multicultural, and remote team environments.
• Strong communication skills in English (C1 level or higher).
• High level of discretion and integrity, particularly when handling confidential or personal data.
  
  
  

Work mode: full remote.

Join Us! Become part of a team driven by innovation, belief in talent, and a commitment to excellence. Your next career step starts here.

This announcement is addressed to both sexes, in accordance with Laws 903/77 and 125/91, and to people of all ages and nationalities, in accordance with Legislative Decrees 215/03 and 216/03.