Data Engineer (REF5482T)

Stack

Responsibilities

• ▹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

Requirements

• ▹Bachelor or Master's degree in 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
• ▹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
• ▹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
• ▹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, including RBAC, IAM, encryption, anonymization, and adherence to regulations such as GDPR and CCPA
• ▹Excellent written and verbal communication competences in English
• ▹Proficiency in Jira & Confluence

Nice to have

• ▹Experience working in a SAFe environment
• ▹German language knowledge

Soft skills

What we offer

• ▹Remote work possibility within Hungary

About the company

Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group with more than 5,300 employees, providing a wide portfolio of IT and telecommunications services to large corporate customers in Germany and other European countries. Ranked Hungary's most attractive employer in 2025 according to Randstad's representative survey, the company received the Best in Educational Cooperation award from HIPA in 2019 and is recognized as one of the most ethical multinational companies. It continuously develops its four Hungarian sites in Budapest, Debrecen, Pécs and Szeged. This position is within the Tolling Services team, which develops and operates intelligent, kilometer-based tolling systems for international customers (vehicle registrations, country booking, On-Board Units, position data transmission, charge calculation, and fleet billing), collaborating with T-Systems International.