Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development.

Arηs Group was acquired by Accenture in July 2024.

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.