Data Engineers - Remote Poland or Romania

We are seeking a highly skilled Senior Data Engineer / ML Engineer with expertise in building scalable ELT/ETL pipelines, cloud-native data architectures, and API-driven integrations using GCP.

• 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 (IAM, VPC Service Controls, encryption, service accounts).
• Optimize SQL queries and data performance in BigQuery.
• Support reporting and analytics solutions (Power BI preferred).

• 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 (Kafka, Pub/Sub).
• Working knowledge of GKE, Spark, and Java-based data processing solutions.
• Familiarity with MCP integration and TMF protocols.
• Strong 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.