Knowledge of data handling principles, including ETL processes and real-time data processing.
Experience with CI/CD pipelines and automation tools.
Strong understanding of data governance principles, including metadata management and data quality frameworks.
Ability to work with and understand various source system types (Kafka, MQ, SFTP, databases, APIs, file shares).
General Requirements:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
Minimum 3 years of experience as a Data Analyst or Data Quality Analyst in a data-driven organization.
Proven experience in data quality management and data governance practices.
Experience in international or multi-country data projects is preferred.
Strong communication skills to translate technical findings into business-oriented insights.
Fluency in English and another European language (preferably Hungarian), both written and spoken, is required.
Self-starter with a continuous learning mindset and strong attention to detail.
It’s a plus if you have experience with:
Ceph storage system
MinIO
Apache Iceberg
Trino
Apache Flink
DataRobot
Grafana
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:
Data Engineer Responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to ensure seamless data ingestion, storage, and transformation. The role emphasizes the technical aspects of data engineering, including optimizing system performance and supporting robust data workflows.
Tasks, roles and responsibilities:
Build and maintain data ingestion processes from various sources into the Data Lake.
Design, develop, and optimize complex data pipelines for reliable data flow.
Build, develop, and maintain frameworks that facilitate the construction of data pipelines.
Implement end-to-end testing frameworks for data pipelines.
Collaborate with data analysts and scientists to ensure the delivery of quality data.
Ensure robust data governance, security, and compliance practices.
Explore and implement emerging technologies to improve data pipeline performance.
Utilize and integrate data from various source system types, including Kafka, MQ, SFTP, databases, APIs, and file shares.
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
Kérdezz a LinkedIn-en
Knowledge of data handling principles, including ETL processes and real-time data processing.
Experience with CI/CD pipelines and automation tools.
Strong understanding of data governance principles, including metadata management and data quality frameworks.
Ability to work with and understand various source system types (Kafka, MQ, SFTP, databases, APIs, file shares).
General Requirements:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
Minimum 3 years of experience as a Data Analyst or Data Quality Analyst in a data-driven organization.
Proven experience in data quality management and data governance practices.
Experience in international or multi-country data projects is preferred.
Strong communication skills to translate technical findings into business-oriented insights.
Fluency in English and another European language (preferably Hungarian), both written and spoken, is required.
Self-starter with a continuous learning mindset and strong attention to detail.
Position overview:
Data Engineer Responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to ensure seamless data ingestion, storage, and transformation. The role emphasizes the technical aspects of data engineering, including optimizing system performance and supporting robust data workflows.
Tasks, roles and responsibilities:
Build and maintain data ingestion processes from various sources into the Data Lake.
Design, develop, and optimize complex data pipelines for reliable data flow.
Build, develop, and maintain frameworks that facilitate the construction of data pipelines.
Implement end-to-end testing frameworks for data pipelines.
Collaborate with data analysts and scientists to ensure the delivery of quality data.
Ensure robust data governance, security, and compliance practices.
Explore and implement emerging technologies to improve data pipeline performance.
Utilize and integrate data from various source system types, including Kafka, MQ, SFTP, databases, APIs, and file shares.
It’s a plus if you have experience with:
Ceph storage system
MinIO
Apache Iceberg
Trino
Apache Flink
DataRobot
Grafana
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
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
Kérdezz a LinkedIn-en
