Deutsche Telekom IT Solutions
Information Technology And Services
DataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer at Deutsche Telekom IT Solutions. Skills: Data Pipeline Development, Data Integration, Data Warehousing, Data Modelling, Data Quality and Governance, Performance Optimization, SQL, Python, AWS. Data Pipeline Development. Data Integration”
Industry & Context.
troubleshoot infrastructure or processing issues
remote working possibility is only available within Hungary due to European taxation regulation
What They're Looking For.
Must Have
Bachelor or Master’s degree in Computer science, Engineering, Information Technology, natural science, mathematics, business or equivalent work experience in IT, expertise in modern data engineering tools and technologies, including DeltaLake, SQL, Python, Tableau, QuickSight, Kafka, Apache Flink, Apache Doris, Superset, and Schema Registry, Experience designing and building scalable ETL/ELT data pipelines, Hands-on knowledge of integrating data from diverse sources such as databases, APIs, streaming platforms, and NoSQL systems using tools like MongoDB Atlas, Debezium, and Kafka Connect, Ability to automate and optimize data workflows, monitor pipeline health, and troubleshoot infrastructure or processing issues, data modeling and data architecture skills, Expertise in data quality management, Solid understanding of cloud and infrastructure engineering, especially AWS-based compute and storage environments, Practical experience with containerization and Infrastructure as Code technologies such as Docker, Kubernetes, and Terraform, Knowledge of security, compliance, and access management practices, collaboration and operational skills, Excellent written and verbal communication competences in English language, Proficiency in Jira & Confluence
Nice to Have
Experience working in SAFe environment, German language knowledge
What You'll Do.
Data Pipeline Development
Data Quality and Governance
Performance Optimization
Security and Compliance
Monitoring and Troubleshooting
How You'll Work.
Team & Collaboration
Collaboration with Data Scientists/Analysts; collaboration and operational skills; working closely with analysts, data scientists, and stakeholders
Communication Scope
Excellent written and verbal communication competences in English language
Process & Methodology
Experience working in SAFe environment
Full Job Description
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. Department and Project This position is within the Tolling Services team of Deutsche Telekom IT Solutions Hungary. The team consists of IT professionals specializing in electronic road-charging solutions. Together with our partners, we develop and operate intelligent, kilometer-based tolling systems for international customers, covering the entire business process (vehicle registrations, country booking, providing On-Board Units, position data transmission, charge calculation, and fleet billing). Leveraging digital intelligence and advanced technology, our tolling solutions facilitate seamless mobility across Europe. The team aims to enhance existing services and expand into new domains. As part of an international team collaborating with T-Systems International, you will play a key role in supporting our customers with cutting-edge tolling solutions. Main tasks As a Data Engineer: * Data Pipeline Development * Data Integration * Data Warehousing * Data Modelling * Data Quality and Governance * Performance Optimization * Collaboration with Data Scientists/Analysts * Technology Selection * Security and Compliance * Monitoring and Troubleshooting ## Qualifications Background and required skills: * Bachelor or Master’s degree in the following areas: Computer science, Engineering, Information Technology, natural sc
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