Anaconda Enterprise Engineer / Python Engineer (m / f)

ARHS Group Part of Accenture; Menningen; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading technology consultancy in Germany is seeking a skilled Python Engineer to join client projects. You will develop tools and support the data science infrastructure, ensuring operational performance and scalability. Key requirements include experience in Python development, proficiency with frameworks like FastAPI, Anaconda Enterprise knowledge, and familiarity with Azure cloud platforms. This role requires onsite presence for collaboration and project delivery, emphasizing the importance of in-person engagement with clients and teams.

Qualifikationen

• Solid experience in Python development and ecosystem.
• Proficiency with Python frameworks such as FastAPI, Flask, or Django.
• Hands-on experience with Anaconda Enterprise or similar platforms used in data science environments.
• Familiarity with package management tools (e.g., Conda).
• Strong understanding of cloud platforms, preferably Azure.
• Experience with Infrastructure as Code (Terraform) and CI/CD pipelines.
• Knowledge of data science libraries (e.g., pandas, NumPy, SciPy).
• Understanding of container technologies like Docker and Kubernetes.
• Strong problem-solving mindset and ability to work across multidisciplinary teams.

Aufgaben

• Design, develop, and maintain Python libraries and APIs using FastAPI, Flask, or Django.
• Administer and support Anaconda Enterprise environments, including user and permission management.
• Support the integration of packages and dependencies required for data science and machine learning workflows.
• Implement and maintain infrastructure automation using Terraform, and CI/CD pipelines in Azure DevOps.
• Monitor system performance, diagnose platform-related issues, ensure platform responsiveness.
• Work closely with data scientists, DevOps, and infrastructure teams.
• Contribute to continuous improvements in reliability, scalability, and user experience.

Kenntnisse

Python development

FastAPI

Flask

Django

Anaconda Enterprise

Azure

Terraform

CI/CD

Docker

Kubernetes

Tools

Conda

pandas

NumPy

SciPy

Jobbeschreibung

We are currently looking for a skilled Python Engineer with strong experience in Anaconda Enterprise to join one of our client’s projects. You will play a key role in developing tools and supporting the data science infrastructure, ensuring performance, scalability, and smooth operations across environments used by data teams.

THE WORK :

• Design, develop, and maintain Python libraries and APIs using FastAPI, Flask, or Django.
• Administer and support Anaconda Enterprise environments, including user and permission management, environment customization, and platform optimization.
• Support the integration of packages and dependencies required for data science and machine learning workflows.
• Implement and maintain infrastructure automation using Terraform, and CI / CD pipelines in Azure DevOps.
• Monitor system performance, diagnose platform-related issues, and ensure platform responsiveness and reliability.
• Work closely with data scientists, DevOps, and infrastructure teams to align the platform with user needs and security requirements.
• Contribute to continuous improvements in reliability, scalability, and user experience of the platform.

Onsite at client sit e : This role requires an onsite presence with our clients and partners to support project delivery and strengthen client relationships. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work / life needs.

HERE’S WHAT YOU’LL NEED :

• Solid experience in Python development and ecosystem.
• Proficiency with Python frameworks such as FastAPI, Flask, or Django.
• Hands-on experience with Anaconda Enterprise or similar platforms used in data science environments.
• Familiarity with package management tools (e.g., Conda).
• Strong understanding of cloud platforms, preferably Azure.
• Experience with Infrastructure as Code (Terraform) and CI / CD pipelines.
• Knowledge of data science libraries (e.g., pandas, NumPy, SciPy).
• Understanding of container technologies like Docker and Kubernetes.
• Strong problem-solving mindset and ability to work across multidisciplinary teams.

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