Data Engineer (REF2202S)

• Budapest, Debrecen, Pécs, Szeged, Hungary
• Full-time
• Company: Deutsche Telekom ITTC Hungary Kft.

The largest ICT employer in Hungary, Deutsche Telekom IT Solutions (formerly IT-Services Hungary, ITSH) is a subsidiary of the Deutsche Telekom Group. Established in 2006, the company provides a wide portfolio of IT and telecommunications services with more than 5000 employees. ITSH was awarded with the Best in Educational Cooperation prize by HIPA in 2019, acknowledged as one of the most attractive workplaces by PwC Hungary’s independent survey in 2021 and rewarded with the title of 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 Data Engineer who would team up with us  to transform every single process into a deeply data informed, AI- driven, digital first company. As part of the Data Tribe you would contribute to the creation of a world where our network data, our billing data and our customer experience data have met each other. 

As a seasoned Engineer, you will be involved in the establishment of our Data Ecosystem within Google cloud platform as part of our ambitious project to centralize our data assets. 

Your Task will be..

• Practicing End to End responsibility throughout the entire data lifecycle, from data ingestion to the creation of data products. 
• Discussing technical solutions with other developers and business partners 
• Take part in the design, development, and maintenance of our data products. We code it, and we run it. 
• Demonstrate strong communication skills while working effectively within an international team (in English) 
• Identify and resolve technical impediments and ensure stable operation 
• Advocate for the best technical practices 

• Minimum 3 years of experience in design and implementation (BIG) data solutions. 
• Proficiency with Big Data technologies like Hadoop, Apache Spark or BigQuery 
• Expertise in cloud technologies (GCP, AWS, Azure), preferably Google Cloud 
• Design, build, maintain ETL processes and data models behind Analytical Pipelines  
• Familiar with event based and streaming technologies