Senior Data Engineer / ML Engineer - GCP

New

Poland or RomaniaFull-TimeSenior

Salary not disclosed

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Job Details

Required Skills: SQLETLGCPJavaKafkaMicrosoft Power BISparkRESTful APIsBigQuery

Strong experience building scalable ELT/ETL pipelines
Strong experience with ML engineering workflows
Strong experience with 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
Working knowledge of Spark
Working knowledge of 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

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)

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