Data Engineers - Remote Poland or Romania

Role Overview

We are seeking a highly skilled Senior Data Engineer / ML Engineer with strong expertise in building scalable ELT/ETL pipelines, cloud-native data architectures, and API-driven integrations. The ideal candidate will have hands-on experience in Google Cloud Platform (GCP), Data Vault modeling, and the ability to translate complex business logic into robust engineering pipelines and data models.

Key Responsibilities

• 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).

Required Skills & Expertise

• 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.