Python Developer (m/f)

We are currently looking for a Junior Python Engineer (1–2 years of experience) to join one of our client projects. In this role, you will support the development of Python-based tools and help maintain platforms used by data science teams.

You’ll work alongside more experienced engineers, data scientists, and DevOps teams while continuing to grow your technical skills in a real-world environment.

THE WORK:

• Assist in designing, developing, and maintaining Python libraries and APIs using frameworks such as FastAPI, Flask, or Django.
• Support data science platforms and environments (such as Anaconda Enterprise or similar tools) under the guidance of senior engineers.
• Help manage and integrate Python packages and dependencies used for data science and machine learning workflows.
• Contribute to infrastructure automation and CI/CD pipelines, with exposure to tools like Terraform and Azure DevOps.
• Monitor applications and platforms, help investigate issues, and support platform stability and performance.
• Collaborate with data scientists, DevOps, and infrastructure teams to understand requirements and improve tooling.
• Participate in continuous improvement initiatives to enhance reliability, scalability, and developer experience.
• Onsite at client site: This role requires onsite collaboration with clients and partners to support delivery, learning, and relationship-building. Flexibility will be provided where possible to support work/life balance.

HERE’S WHAT YOU’LL NEED:

• 1–2 years of experience in Python development (commercial or equivalent project experience).
• Basic experience with Python frameworks such as FastAPI, Flask, or Django.
• Familiarity with Python package management (e.g., pip or Conda).
• Exposure to cloud platforms (preferably Azure, but others are acceptable).
• Understanding of core data libraries such as pandas and NumPy.
• Willingness to learn infrastructure and DevOps practices.
• Strong problem-solving skills and ability to work in a collaborative team environment.
• Good communication skills and a proactive, learning-oriented mindset.

NICE TO HAVE:

• Experience with Anaconda Enterprise or other data science platforms.
• Exposure to SAP BusinessObjects (SAP BO).
• Familiarity with Terraform, CI/CD pipelines, or Kubernetes.
• Basic knowledge of containers (e.g., Docker).

As part of our security and compliance procedures, candidates will be required to undergo a criminal background check prior to employment.