Data Engineer with GCP

Our Client is one of the leading telecommunications operators in Poland, providing mobile telephony, internet, and advanced digital solutions. As part of a large international group, the company focuses on innovation, digital transformation, and continuous technology development to stay competitive in a rapidly evolving market.

Long-term project focused on the migration of an Oracle Data Warehouse to Google Cloud Platform (GCP).

You will join a data-focused team responsible for building modern, scalable data pipelines and ensuring high data quality in a cloud-based environment.

Responsibilities

• Build and maintain data ingestion processes from various source systems into a Data Lake
• Design, develop, and optimize complex data pipelines ensuring reliable and efficient data flow
• Create, enhance, and maintain frameworks supporting data pipeline development
• Implement comprehensive testing frameworks for data pipelines
• Collaborate closely with data analysts and data scientists to deliver high-quality, trusted data
• Ensure strong data governance, security, and compliance practices
• Research and implement new technologies to improve pipeline performance
• Integrate data from diverse source systems such as Kafka, MQ, SFTP, databases, APIs, and file shares

Must-Have Requirements

• Strong hands-on experience with Google Cloud Platform (GCP) – mandatory
• Advanced knowledge of SQL and PL/SQL
• Proficiency in Python (Scala is a plus)
• Minimum 3 years of experience in a data-focused role (Data Analyst / Data Quality Analyst / Data Engineer)
• Solid understanding of data quality management and data governance practices
• Experience with ETL processes and real-time data processing
• Hands-on experience with Linux and bash scripting
• Practical knowledge of Apache Spark and Apache Kafka (Cloudera stack)
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related field

Nice to Have

• Experience with CI/CD pipelines and automation tools
• Knowledge of metadata management and data quality frameworks
• Experience working with complex, multi-source data environments
• Background in international or multi-country data projects
• Strong communication skills and ability to translate technical topics into business language
• Fluent English (spoken and written)
• Proactive mindset, attention to detail, and willingness to continuously learn