[Hiring] Senior Python Developer - Dataspaces Project @Deutsche Telekom IT Solutions

Role Description

We are actively seeking a proficient Python Developer specializing in Python, Data Orchestration, Kubernetes, database technologies, and with experience in Agile methodologies to play a pivotal role in our Dataspaces project. This role involves expertise in relational databases, SQL, object storage (S3), a strong commitment to unit testing as well as understanding of Kubernetes.

• Python Development: Architect, implement, and maintain backend services for our Dataspaces project, following Agile best practices in Python development.
• Data Orchestration: Implement example data services and workflows using native python code in our orchestration engine.
• Database Management: Design and optimize both relational SQL databases, and access to Object Storage (S3), and ensure seamless integration within the Dataspaces framework, all while adhering to Agile methodologies.
• Unit Testing: Develop and implement robust unit tests to ensure the reliability and accuracy of backend systems within the Dataspaces project, following Agile testing principles.
• Orchestration with Kubernetes: Orchestrate containerized applications using Kubernetes to automate deployment, scaling, and management across various environments, ensuring high availability and resilience in line with Agile deployment practices.
• Agile Methodology: Collaborate effectively within an Agile development team, participating in sprint planning, stand-ups, and retrospectives to deliver high-quality software iteratively.

Qualifications

• Must have: Python, pyunit/pytest, Docker, Kubernetes, CI/CD, GitHub, Jira, Confluence
• Nice to have: SCRUM, DevOps, SonarQube, Postman, OpenAPI/Swagger, Object Storage (S3)
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience: 5+ years in backend or data engineering development with expertise in Python.
• Technical Skills:
  • Proficiency with relational databases and Object Storages
  • Strong experience with microservices, API design, and event-driven architecture
  • Experience with data orchestration engines (Airflow, Dagster, Databricks)
  • Hands-on experience with container orchestration using Kubernetes
• Agile Proficiency: Proven experience working within Agile teams, including familiarity with sprint cycles and iterative development practices.
• Additional Qualifications: Familiarity with Java and Data Spaces is a strong plus.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and skill development.
• Collaborative and innovative work environment focused on Dataspaces technology.
• Exposure to the latest advancements in cloud computing and Dataspaces projects within an Agile development framework.