Data Engineer (REF5482T)

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 Masters degree in the following areas: Computer science Engineering Information Technology natural science mathematics business or equivalent work experience in IT
• Strong expertise in modern data engineering tools and technologies including DeltaLake SQL Python Tableau QuickSight Kafka Apache Flink Apache Doris Superset and Schema Registry for data processing analytics and visualization.
• Experience designing and building scalable ETL/ELT data pipelines that extract transform and load data from multiple systems into centralized data warehouses or data lakes while ensuring reliability and performance.
• 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 for CDC and real-time data streaming.
• Ability to automate and optimize data workflows monitor pipeline health and troubleshoot infrastructure or processing issues to ensure continuous efficient and high-performing data operations.
• Strong data modeling and data architecture skills including designing schemas maintaining data consistency and implementing scalable storage solutions for large-scale analytics environments.
• Expertise in data quality management including validation cleansing harmonization and governance practices to ensure accurate compliant and trustworthy datasets across systems.
• Solid understanding of cloud and infrastructure engineering especially AWS-based compute and storage environments with experience optimizing scalability reliability security and cost efficiency.
• Practical experience with containerization and Infrastructure as Code technologies such as Docker Kubernetes and Terraform to deploy manage and automate scalable infrastructure environments.
• Knowledge of security compliance and access management practices including RBAC IAM encryption anonymization and adherence to regulations such as GDPR and CCPA.
• Strong collaboration and operational skills including working closely with analysts data scientists and stakeholders while managing multiple priorities and staying updated on emerging trends and best practices in data engineering.
• Excellent written and verbal communication competences in English language.
• Proficiency in Jira & Confluence.

Advantage:

• Experience working in SAFe environment.
• German language knowledge

Additional Information :

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

Remote Work :

No

Employment Type :

Full-time