Data Architect

Data Architect

Jelentkezési határidő: 2025-08-15

Budapest Magyar Telekom Nyrt. Teljes munkaidő- határozatlan idejű

What we are looking for:

• Strong expertise in enterprise data architecture and data ingestion design, preferably in a cloud environment (e.g., GCP).
• Deep understanding of data engineering practices, ETL/ELT processes, and real-time data streaming.
• Proficiency in SQL, Python, with Scala being a plus.
• Solid knowledge of Apache Spark, Apache Kafka, and other big data technologies.
• Familiarity with data governance principles, metadata management, and data quality frameworks.
• Experience with CI/CD pipelines and automation for data operations.
• Expertise in operational excellence including monitoring, alerting, and incident management for data pipelines.
• Ability to navigate complex international and multi-cultural environments, driving architectural consistency across countries.

General Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Telecommunications, or a related field, or equivalent work experience.
• At least 5 years of experience in data architecture, data engineering, or related roles.
• Experience in working within multinational or European-wide programs.
• Strong learning mindset to keep up with rapidly evolving data technologies and practices.
• Collaboration and cross-functional teamwork skills.
• Fluent English – excellent verbal and written communication skills.

 

• It’s a plus if you have experience with:

• Ceph storage system
• MinIO
• Apache Iceberg
• Trino
• Apache Flink
• DataRobot
• Grafana
• Telecommunications systems and data

Benefits and training opportunities:

• Flexible working hours with partial home office options.
• Comprehensive benefits package (laptop, mobile phone, cafeteria, insurance).
• Employee discount rates on Telekom services.
• Modern, multinational working environment with amenities like a sky bar and rooftop gym.
• Access to our Employee Assistance Program.
• Comprehensive Healthcare Package
• You will receive a minimum of 25 days of basic vacation per year (based on age)
• We offer 15 days of additional vacation if you become a father, with 100% pay
• You'll have access to thousands of professional and skills development materials from our extensive digital training palette
• We offer regular internal training sessions and workshops
• You can learn English and German, even with a native speaker
• You’ll have access to Percipio and Coursera courses

 

Position overview:

• The Data Architect is responsible for designing, governing, and continuously improving the data ingestion architecture across Deutsche Telekom Group’s European footprint. The role ensures that data ingestion solutions are harmonized, scalable, secure, and efficient across multiple national companies (natcos) within the group.

  In this position, you will lead the architectural design of data ingestion frameworks, define and enforce group-wide standards, and enable consistent monitoring, alerting, and operations across both cloud-native and legacy platforms. The Data Architect works closely with cross-functional teams to support data-driven transformation across Deutsche Telekom's international operations.

Tasks, Roles and Responsibilities:

• Define and govern the data ingestion architecture, ensuring standardized, reusable, and efficient solutions across multiple European national companies.
• Design, develop, and maintain reference architectures, blueprints, and standards for data ingestion pipelines.
• Provide guidance on the selection of technologies and tools to support ingestion processes, ensuring interoperability across platforms.
• Collaborate with data engineers and platform teams to ensure the robustness, security, and scalability of ingestion pipelines.
• Establish and oversee monitoring, alerting, and operational standards for ingestion pipelines across cloud and legacy infrastructures.
• Ensure compliance with data governance, data quality, and data security requirements, including adherence to GDPR and other regulatory frameworks.
• Support the integration of data from a variety of source systems including Kafka, MQ, SFTP, APIs, databases, and file shares.
• Engage with stakeholders across different countries to harmonize ingestion approaches and resolve architectural challenges.
• Continuously explore emerging technologies and trends to enhance data ingestion capabilities.

 

When?

• Whenever you can join us!

Where?

• Flexible, hybrid working method (3 days from home and 2 days from Magyar Telekom HQ)

 

Ha további kérdésed van erről a pozícióról...

Hegyi-Sági Adrienn
Recruitment Specialist
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