Data Engineer with GCP

6 godzin temu

Warszawa, Mazovia, Polska Square One Resources Sp. z o.o. Pełny etat

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.

Data Engineer with GCP

Your 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

Our requirements

  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Advanced knowledge of SQL and PL/SQL
  • Proficiency in Python
  • 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
  • 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

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