Data Engineers - Remote Poland or Romania

• Strong experience building scalable ELT/ETL pipelines, ML engineering workflows, and API integrations (REST/SOAP).
• Hands-on expertise within the GCP ecosystem: Dataform, Cloud Run, Pub/Sub, BigQuery (advanced SQL), GCS, and Firestore.
• Solid understanding of Data Vault modeling and enterprise data architecture principles.
• Experience designing event-driven and streaming architectures with Kafka and Pub/Sub.
• Working knowledge of GKE, Spark, and Java-based data processing solutions.
• Familiarity with MCP integration and TMF protocols.
• Ability to translate business requirements into scalable data models and engineering pipelines.
• Experience implementing cloud security best practices including IAM, VPC Service Controls, service accounts, and encryption.
• Exposure to Power BI for reporting and analytics is an added advantage.

• Design, develop, and maintain scalable ELT/ETL data pipelines on GCP.
• Build and optimize data engineering pipelines for structured, semi-structured, and streaming data.
• Implement and manage ML engineering workflows for production deployment.
• Develop and maintain REST/SOAP APIs for system integrations.
• Architect and implement Data Vault models for enterprise data warehousing.
• Design event-driven architectures using Pub/Sub and streaming frameworks.
• Integrate third-party systems into enterprise data ecosystems.
• Collaborate with business stakeholders to translate business requirements into scalable data models and pipelines.
• Ensure adherence to security best practices including IAM, VPC Service Controls, encryption, and service accounts.
• Optimize SQL queries and data performance in BigQuery.
• Support reporting and analytics solutions with Power BI.

Please be informed that the data controller is strategicsIQ_ (hereinafter "controller"). You have the right to request access to your personal data, their rectification, erasure or restriction of processing, the right to object to processing, as well as the right to data portability and to lodge a complaint to the supervisory authority. Personal data will be processed for the purpose of the recruitment process. Provision of data to the extent resulting from the Act of 26 June 1974 Labour Code is mandatory. In the remaining scope, providing data is voluntary. Refusal to provide mandatory data may result in the impossibility to carry out the recruitment process. The Administrator processes mandatory data on the basis of a legal obligation incumbent upon him/her, while with regard to additional data, the basis for processing is consent. Personal data will be processed until the recruitment procedure is completed and for the period of the possibility of asserting potential claims, and in the case of consent to participate in future recruitment procedures - until the withdrawal of such consent. Consent to the processing of personal data can be withdrawn at any time. The recipient of the data is the Just Join IT service and other entities to whom we have entrusted the processing of data in connection with recruitment.