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.

We are looking for a skilled and motivated Data Engineer to join our data team with a primary focus on orchestrating and maintaining data workflows using Dagster. In this role, you will be responsible for designing, implementing, and managing scalable and reliable data pipelines across various environments. It will entail the development of data transformation tasks and pipelines. You will collaborate closely with business analyst, data architect and business stakeholders.

What You’ll Do:

• Orchestrate Data Pipelines:
  Design, build, and maintain robust data workflows using Dagster, ensuring reliable and observable data delivery across development, testing, and production environments.
• Pipeline Configuration & Deployment:
  Manage configuration-driven pipelines, support dynamic partitioning, and integrate Dagster with version control, CI/CD tools, and containerized environments (e.g., Kubernetes, Docker).
• Data Services Development
  Develop scalable configurable services for different common orchestration tasks like data profiling or aggregation.
• Data Quality and Testing:
  Implement data validation, unit and integration testing within Dagster workflows to ensure correctness and maintain trust in the data.
• Collaboration & Integration:
  Work closely with business analyst, data architect and business stakeholders.
• Monitoring and Observability:
  Set up logging, alerting, and monitoring for workflows using Dagster’s observability features and external tools (e.g., ELK Stack).
• Documentation & Best Practices:
  Document pipelines, configurations, and workflows thoroughly. Promote best practices for reproducibility, lineage, and maintainability.
• Platform & Tooling Development:
  Support improvements to our data platform by integrating new tools, automating deployment, and contributing to shared libraries and reusable components.

Must-Have:

• Solid knowledge of Python and experience with writing production-grade code in data workflows.
• Strong SQL skills and a solid understanding of relational databases and data warehouse concepts.
• Experience with ETL/ELT development using tools like Spark, Pandas, or custom scripts.
• Familiarity with data pipeline testing, quality gates, and configuration validation (e.g., Pydantic, Dagster config schemas).
• Understanding of data lineage, metadata tracking, and reproducibility in workflow systems.
• Strong collaboration and communication skills, with the ability to work cross-functionally.

Nice-to-Have:

• Hands-on experience with Dagster or a modern orchestration tool (e.g., Prefect, Airflow, Mage).
• Experience deploying Dagster with Kubernetes, Docker, and Helm.
• Familiarity with CI/CD for data workflows and automated testing (e.g., GitHub Actions, GitLab CI).
• Knowledge of data modeling and data warehouse design (e.g., dimensional modeling, star/snowflake schemas).
• Experience with data catalog tools and metadata APIs.

Language:

• At least B2 English, German is an advantage 

Senior

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

Budapest,Debrecen,Pécs,Szeged