Data Platform Engineer: Enterprise Pipelines & AI-Ready

Syone; Lisboa; Presencial; EUR 65 000 - 95 000; Tempo integral

Resumo da oferta

Syone is seeking an experienced data platform & governance expert to design and own core data infrastructure on Microsoft Fabric, implementing a medallion lakehouse with Delta Lake. You will build scalable ingestion pipelines across enterprise systems, and support AI/ML workloads with robust data preparation.

The role emphasizes analytics readiness, governance, and secure data access. The ideal candidate has 7+ years in data engineering and a proven track record building enterprise-scale cloud

Qualificações

• 7+ years in data engineering.
• 3+ years building enterprise-scale cloud data platforms.
• Proven track record designing enterprise data architecture from greenfield.
• Experience supporting AI/ML workloads and preparing data for model consumption.

Responsabilidades

• Design and own core data infrastructure on Microsoft Fabric with medallion lakehouse architecture.
• Build scalable ingestion pipelines from enterprise systems (SharePoint, Salesforce, Azure SQL, SQL Server, Microsoft 365, OneDrive, ERP/CRM, REST APIs).
• Develop streaming and batch ETL/ELT pipelines with schema evolution and data quality validation.
• Optimize storage and processing performance for structured and unstructured data.
• Ensure monitoring, alerting, and reliability of data pipelines.
• Build semantic layer, taxonomy, metadata standards, and governance across the platform.
• Prepare data for AI applications, including document chunking, embeddings, and vector datasets.

Conhecimentos

Data engineering

Cloud data platforms

AI/ML data readiness

RAG readiness

Descrição da oferta de emprego

Syone is seeking an experienced data platform & governance expert to design and own core data infrastructure on Microsoft Fabric, implementing a medallion lakehouse with Delta Lake. You will build scalable ingestion pipelines across enterprise systems, and support AI/ML workloads with robust data preparation.

The role emphasizes analytics readiness, governance, and secure data access. The ideal candidate has 7+ years in data engineering and a proven track record building enterprise-scale cloud