Data Engineer - Syone

Tarefas:

1 — Enterprise Data Platform & Pipelines: Design and own the core data infrastructure on Microsoft Fabric, implementing a medallion lakehouse architecture (Bronze / Silver / Gold) with Delta Lake for reliability and versioning. Specific responsibilities include:

• Scalable ingestion pipelines from enterprise systems including SharePoint, Salesforce, Azure SQL, SQL Server, Microsoft 365, OneDrive, ERP and CRM platforms, file repositories, and REST APIs
• Streaming and batch ETL/ELT pipelines with schema evolution, data quality validation, and automated transformation
• Storage and processing performance optimisation across structured and unstructured data
• Monitoring, alerting, and operational reliability of all data pipelines

2 — Knowledge Engineering & Governance: Build the semantic layer that turns raw data into reusable, discoverable enterprise knowledge:

• Enterprise taxonomy, metadata standards, and semantic data models
• Document classification frameworks and knowledge graph foundations
• Data catalog strategy, lineage tracking, and data ownership management
• Access control, security, and compliance governance across the platform
• Centralised discoverability — enabling any team to find and trust enterprise data

3 — AI Readiness: Prepare enterprise knowledge for consumption by AI applications and agents built on top of this platform:

• Document chunking strategies optimised for retrieval and context windows
• Embedding pipelines and vector-ready datasets for Retrieval Augmented Generation (RAG)
• Reusable knowledge services exposable to AI applications via APIs
• Support for Azure AI Search and vector database integrations

Required Technical Skills:

• Python (expert)
• SQL (advanced)
• Apache Spark
• Microsoft Fabric
• Azure Data Platform
• Azure Data Factory
• Delta Lake
• Lakehouse / Medallion Architecture
• ETL / ELT pipeline development
• Data Modelling & Warehousing
• REST API integration
• Data Governance & Metadata Management
• Master Data Management
• Semantic Modelling
• Git & CI/CD

Enterprise Platform Experience:

Demonstrated experience integrating: Salesforce · SharePoint · Microsoft 365 · Azure Data Lake · Azure SQL · Azure Storage · Power Platform (preferred)

Experience:

• 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

What can Syone offer me:

 

• Integration in an organization with profound and sustained growth and involvement in pioneering projects with innovative technological solutions;

• Strong IT training plans;

• Professional evolution with intervention in ambitious technological projects, both national and internationally.

 

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