Data Engineer - Automation & Innovation Department

Data Engineer - Automation & Innovation Department

• 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
  what do you bring?

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• Minimum 3 years of experience in a Data Engineering role.
• Practical experience with Cloud (preferably GCP) services, including BigQuery, Dataflow, Google Cloud Storage (GCS), Data Catalog, and dbt.
• Advanced SQL proficiency, including writing complex queries, query optimization, Common Table Expressions (CTEs), window functions, and related advanced SQL techniques.
• Python coding skills (experience with Pandas and NumPy is a plus)
• Experience working with Apache Airflow for pipeline orchestration, workflow automation, monitoring, data quality validation, alerting, and troubleshooting.
• Experience with Apache Spark, Hadoop, and Hive for large-scale data processing.
• Experience designing, developing, testing, maintaining, and optimizing ETL/ELT pipelines for batch and streaming data processing, including Apache Kafka, API-based data ingestion.
• Experience designing and implementing data integration solutions, data warehouse architectures, data models, and data layers to support analytics and reporting.
• Experience implementing and maintaining CI/CD pipelines and using GitLab for version control and technical documentation.
• Experience working in Agile/Scrum
• Good command of English.

Nice to have:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
• Basic understanding of Machine Learning and MLOps principles
• Strong understanding of data governance principles, including metadata management and data quality frameworks.
• Experience in international or multi-country data projects is preferred.
• Strong communication skills to translate technical findings into business-oriented insights.
• Self-starter with a continuous learning mindset and strong attention to detail.

You will join a diverse, international team of data professionals working across multiple countries. In this role, you will collaborate with both local experts and international colleagues to build a unified, high-performance data infrastructure. We are looking for a Data Engineer who enjoys solving complex integration challenges and wants to have a real impact on how our organization uses data globally.

In our recruitment process, you can expect honesty and transparency. We consider each candidacy carefully and fairly, without any exceptions. We don’t look at your race, skin color, sexual orientation, gender identity, nationality, disability status, beliefs, appearance or religion. It’s your competencies that count.

We also guarantee that you will always receive feedback when participating in recruitment for #MagentaTeam.

We are a technology company, and our goal is to create innovative solutions for individual and business clients.

At T-Mobile, we all live in a magenta world! This color is close to our hearts and means faith in the success of undertaken actions, self-confidence, and endurance.

That’s who we are as a team.

At #MagentaTeam , we focus on exchanging experiences, agile work, and quick adaptation to changes! #MagentaTeam is, above all, a mix of different competencies, experiences, personalities, temperaments, and views. And this diversity is our greatest strength.