Deutsche Telekom IT Solutions HU Logo

Senior Python Developer - Dataspaces Project

Job Description

Company Description

As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

Job Description

The Position

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.

WHAT IS WAITING FOR YOU?

  • 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

WHAT IS YOUR STACK?

  • Must have: Python, pyunit/pytest, Docker, Kubernetes, CI/CD, GitHub, Jira, Confluence
  • Nice to have: SCRUM, DevOps, SonarQube, Postman, OpenAPI/Swagger, Object Storage (S3)

WHAT ARE WE LOOKING FOR?

  • 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 Pytho

  • 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.

If you are a passionate Backend Developer excited about contributing to Dataspaces innovation, possess the required technical skills, have experience with Agile methodologies, and are eager to make a significant impact, we encourage you to apply and join our dynamic team.

Additional Information

\* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

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