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 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.

• Bachelor's or Master's in Computer Science, Data Science, or related field
• Several years of Big Data engineering experience
• Strong SQL / T-SQL skills (MS SQL Server a plus)
• Expertise with Hadoop ecosystem (PySpark, Airflow, HDFS, Elasticsearch)
• Experience with ETL (SSIS), data modeling, warehousing, and BI (SSAS)
• Proficiency in Python; C# and BigQuery are advantageous
• Solid knowledge of CI / CD, automation, and agile / DevOps practices
• Hands-on experience with cloud platforms, especially GCP
• Proven track record in distributed data processing and scalable architectures
• Strong problem-solving, adaptability, and communication skills
• Fluent English (German is a plus)

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.

,(Responsibility for the (further) development of software in the Big Data environment, Development and optimization of data pipelines (batch and streaming processes), Design and implementation of scalable, production-ready data products, Optimization of PySpark code for high performance in distributed data processing, Ensuring code quality through clean, tested code and promoting CI / CD practices, Working in agile teams (Scrum, Kanban) with continuous improvement of processes and tools, Applying DevOps principles for seamless integration of development and operations, Using and further developing cloud-based solutions with a focus on Google Cloud Platform (GCP)) Requirements : Big data, SQL / T-SQL skills, Hadoop, ETL, Python, CI / CD, Agile / DevOps practices, GCP, MS SQL Server , C#, BigQuery Additionally : Sport subscription, Private healthcare, International projects, Training budget, Mobiltelefon, Free coffee, Canteen, Bike parking, Playroom, Shower, Free parking, In-house trainings, In-house hack days, Modern office, No dress code.