Informacje o stanowisku

Join T‑Mobile’s data transformation program and help shape the way we work with data every day. Work with cutting‑edge technologies, make a real impact on data strategy and develop future‑ready skills in a culture that embraces innovation. Create with us a space for experimentation, rapid prototyping and building solutions that define the future of data‑driven telecommunications.

• 3+ years of experience as a Data Engineer in a data‑driven environment.
• Experience in large‑scale data migration or cloud transformation projects.
• Experience with modern data platform patterns, including data lakehouse architectures on GCP (Cloud Storage + BigQuery).
• Hands‑on experience with GCP data services (BigQuery, Cloud Storage, Pub/Sub, Dataflow/Dataproc, Composer, Looker, Vertex AI)
• Hands-on experience with infrastructure as code IaC(Terraform+).
• Strong SQL skills and experience with large‑scale data processing (Spark as must, batch and streaming).
• Proficiency in Python and/or Scala, Java.
• Experience with Linux, Docker/Kubernetes, and CI/CD pipelines.
• Very good command of English (spoken and written).
• Strong communication skills with the ability to explain complex technical concepts to business.

Nice to have

• Degree in Computer Science, Data Science or related field.
• Experience with data governance, metadata and data quality tools.
• Experience collaborating with business stakeholders

Join T‑Mobile’s data transformation program and help shape the way we work with data every day. Work with cutting‑edge technologies, make a real impact on data strategy and develop future‑ready skills in a culture that embraces innovation. Create with us a space for experimentation, rapid prototyping and building solutions that define the future of data‑driven telecommunications.

,[Develop reusable frameworks for data processing and testing on GCP (e.g. BigQuery, Dataflow/Dataproc, Composer)., Support building and maintaining batch and streamings data ingestion pipelines from various sources (databases, Kafka/MQ, APIs, files) into GCP., Implement automated tests and data quality checks for pipelines., Collaborate with analysts and data scientists to deliver reliable, well‑documented datasets., Monitor, optimise and secure data pipelines in line with data governance and compliance standards. Requirements: Data migration, Cloud, Data Lake, GCP, Storage, BigQuery, PUB, Looker, AI, Infrastructure as Code, SQL, Spark, Python, Scala, Java, Linux, Docker, Kubernetes, Communication skills, CD pipelines, Degree

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