Data Engineer GCP

Client: An international product company operating in the agribusiness and new technologies sector. The organization is developing a global data platform supporting key business processes such as supply chain management, market analysis, and risk management. Position. Data Engineer with GCP (Senior). Office location: Warsaw. Work model: Hybrid (1-2 days a week from the office). Team: 5-6 Data Engineers. The team is distributed, located in Poland and Spain. Scope of responsibilities: Designing, developing, and maintaining modern data pipelines in the Google Cloud Platform environment. Building and developing Data Lake and Lakehouse platforms supporting analytical and Machine Learning solutions. Creating efficient data processing solutions using streaming technologies and CDC pipelines. Designing and developing Data Warehouse solutions and data models supporting business analytics. Solving complex data processing problems and delivering solutions that support business decision-making. Collaborating with Data Scientists, Business Analysts, Architects, and Product Owners on global initiatives. Implementing good Data Engineering practices and participating in the selection and implementation of new tools and technologies. Mentoring less experienced team members and sharing knowledge regarding Data Engineering standards. Ensuring the quality, performance, and stability of developed solutions through analysis, testing, and maintenance of existing processes. Main requirements: minimum 5 years of experience as a Data Engineer or Data Platform Engineer, minimum 2 years of experience with Google Cloud Platform (GCP), very good knowledge of SQL, programming experience in Python or Scala, practical experience with Google Cloud services, specifically BigQuery, Datastream, Dataproc, DataPlex, and Dataform, experience in building and maintaining Data Lake or Lakehouse platforms, experience in creating Data Warehouse solutions using cloud MPP engines (BigQuery preferred), experience in building data pipelines using stream processing and Change Data Capture (CDC), knowledge of data modeling, ETL processes, Data Governance, and reporting issues, experience working with relational, NoSQL, and cloud databases, good knowledge of the Linux system, experience working in Agile teams, very good knowledge of English (minimum B2, C1 preferred) enabling smooth collaboration with an international team. Nice to have: experience in Risk projects, interest in Data Science, Machine Learning, or Artificial Intelligence solutions. The company offers: Stable employment based on an employment contract, Possibility of using increased costs of obtaining revenue (KUP) after the probationary period, Participation in the development of a global data platform used by an international organization, Work in an international environment and collaboration with Data Engineering experts, Opportunity to work with a modern Google Cloud Platform ecosystem and technologies used in Data Engineering and Analytics, Real impact on solution development and technology selection used in projects, Hybrid work model (1-2 days a week from the office), Opportunity for technical and mentoring development, Organizational culture based on quality, collaboration, and continuous improvement, Flexible working hours, Private medical care, Multisport card, life insurance. Please submit CVs exclusively in English.