Data Engineer
Core
Design, develop, and maintain unified, high-performance data pipeline solutions across multiple countries for the Telekom organization.
Role type
Data Engineer
Builds
Data ingestion and processing pipelines, reusable components, and frameworks
Domain
Telecommunications / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, Apache Spark (PySpark), ETL/ELT pipeline design, workflow orchestration (Apache Airflow), data lake/warehouse concepts, Git
Preferred skills
Delta Lake, Apache Iceberg, Trino, ClickHouse, GCP, Kafka, Apache NiFi, Flink, Data Mesh concepts, TELCO technical knowledge
Responsibilities
Design and develop data ingestion and processing pipelines; Integrate data from databases, APIs, Kafka, SFTP, and file-based sources; Implement automated testing, data quality checks, and monitoring; Troubleshoot pipeline issues and optimize performance; Collaborate with data scientists and subject-matter experts across multiple countries