Czym będziesz się zajmować? 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.ResponsibilitiesBuild and maintain data ingestion processes from various source systems into a Data LakeDesign, develop, and optimize complex data pipelines ensuring reliable and efficient data flowCreate, enhance, and maintain frameworks supporting data pipeline developmentImplement comprehensive testing frameworks for data pipelinesCollaborate closely with data analysts and data scientists to deliver high-quality, trusted dataEnsure strong data governance, security, and compliance practicesResearch and implement new technologies to improve pipeline performanceIntegrate data from diverse source systems such as Kafka, MQ, SFTP, databases, APIs, and file shares

Kogo poszukujemy? Must-Have RequirementsStrong hands-on experience with Google Cloud Platform (GCP) – mandatoryAdvanced knowledge of SQL and PL/SQLProficiency 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 practicesExperience with ETL processes and real-time data processingHands-on experience with Linux and bash scriptingPractical 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 fieldNice to HaveExperience with CI/CD pipelines and automation toolsKnowledge of metadata management and data quality frameworksExperience working with complex, multi-source data environmentsBackground in international or multi-country data projectsStrong communication skills and ability to translate technical topics into business languageFluent English (spoken and written)Proactive mindset, attention to detail, and willingness to continuously learn