A Deutsche Telekom IT Solutions (korábban IT Services Hungary, ITSH) Magyarország legnagyobb IKT-munkaadója, a Deutsche Telekom Csoport tagja. A 2006-ban alakult, több mint 5000 fős cég az informatikai és telekommunikációs szolgáltatások széles körét nyújtja. A vállalat 2019-ben elnyerte a Nemzeti Befektetési Ügynökség (HIPA) legjobb oktatási együttműködésért járó díját, a PwC Magyarország független felmérése alapján a legvonzóbb magyarországi munkahelyek közé tartozik, és a legetikusabb multinacionális vállalat címét is megkapta. A cég folyamatosan fejleszti négy – budapesti, debreceni, pécsi és szegedi – telephelyét, és várja képzett informatikai szakemberek jelentkezését a csapatába.

As the Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data infrastructure and pipelines that enable efficient data processing, storage, and analysis. With a focus on Google Cloud Platform (GCP) transformation, you will be responsible for driving the migration, modernization, and optimization of data infrastructure and workflows onto GCP. Your collaboration with other cross-functional teams will ensure the successful adoption of GCP services and enable data-driven decision-making across the organization. 

• Actively participate in the development of data-driven processes and solutions.
• Collaborate with Software & Data Engineers, Data Scientists and Architects to implement and maintain the standards and consistency for the data-pipelines and best practices.
• Actively collaborate in an agile environment with scrum masters, product owners, product managers, clients, business partners and technical teams (Daily Scrum, Program Increment Planning, Refinement, Retro etc.).
• Provide development estimates on projects and tasks.
• Participate in documentation (program documentation, user manual, administrator guide, etc.)
• Work on troubleshooting and problem fixing.
• Stay up to date with industry trends and state-of-the-art data analytics solutions.

• Ideally MSc in Computer Science, Mathematics, Engineering, or a related field. 
• Minimum 3 years experience in designing and implementing data solutions.
• Ideally 2 years of proven track record in architecting, designing, and operationalization of data and analytics solutions.
• Accepting DevOps as a working culture (end-2-end responsibility).   
• At least 1-3-year experience working in a DevOps environment (experience with CI/CD build and release automation tools)
• Solid knowledge of Big Data and BigQuery services 
• Programming skills in Python, and/or Java.
• Solid grasp of database engineering and design.
• Expertise in cloud technologies (GCP, AWS, Azure), preferably Google Cloud
• Ability to work in multicultural and geographically distributed teams.
• Fluent verbal and written English is a must.

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