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 received the Best in Educational Cooperation award from HIPA in 2019, acknowledged as 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.
Senior Python Developer - Dataspaces Project
Location
Hungary
Posted
75 days ago
Salary
0
Seniority
Senior
No structured requirement data.
Job Description
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.
Job Requirements
- 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.
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