Data Engineer
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 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.
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
Essential Requirements:
- Minimum 3+ years of professional experience as a Data Engineer with proven expertise in big data pipelines and data processing
- Advanced proficiency in SQL, Python, and PySpark for hands-on data transformation and pipeline development
- Demonstrated experience with Git version control and CI/CD practices
- Strong capability to design, build, operate, and troubleshoot data pipelines in production environments
- Proven ability to understand complex data structures and transform them into required structural formats
- Business-fluent English language skills
Desirable Qualifications:
- Senior-level experience or equivalent seniority in data engineering
- Hands-on experience with Google Cloud Platform (GCP) technology stack
- Familiarity with Hadoop ecosystem and related big data technologies
- Experience with data modelling, exploration, and architecture within enterprise environments
- German language proficiency
Key Competencies:
- Practical, hands-on approach to problem-solving (not purely conceptual or advisory)
- Ability to quickly assimilate complex data environments and deliver solutions
- Experience integrating data preparations into managed processes and implementing Data Vault integrations
- Familiarity with data visualisation libraries such as Pandas, Matplotlib, Seaborn, Bokeh, and Plotly