Data Engineer - Syone

Phiture; Lisboa; Presencial; EUR 70 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Growth opportunities

IT training plans

Global project exposure

Resumo da oferta

SYONE is seeking a senior data engineer to design and own the enterprise data platform. You will implement a medallion lakehouse using Microsoft Fabric and Delta Lake, building scalable ingestion pipelines from SharePoint, Salesforce, Azure SQL and other sources.

You will craft streaming and batch ETL/ELT with schema evolution and data quality validation, ensuring reliable processing across data domains. You will also establish semantic models, metadata governance, data catalog strategies, and

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 the core data infrastructure on Microsoft Fabric with a medallion lakehouse (Bronze/Silver/Gold) including Delta Lake.
• Build scalable ingestion pipelines from enterprise systems like SharePoint, Salesforce, Azure SQL and more.
• Develop streaming and batch ETL/ELT with schema evolution and data quality checks.
• Optimize storage and processing for both structured and unstructured data and monitor pipelines.

Conhecimentos

Python

SQL

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

Ferramentas

Salesforce

SharePoint

Microsoft 365

Azure Data Lake

Azure SQL

Azure Storage

Power Platform

Descrição da oferta de emprego

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.
  
  
  
  • 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:

• 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.

By applying, you accept our GDPR policies. Your personal data in your CV and documents will be used solely for processing your application at SYONE. SYONE, S.A. (NIPC 504729624) is the data controller, located at Rua Alfredo da Silva, 8-A, Edifício Stern, Piso 3D, 2610-016 Amadora. We will use your data to tailor your application to relevant vacancies and for potential employment contracts. If selected, your data will be kept during your employment and for at least two years after. If not selected, your data will be kept for two years for future vacancies and then deleted, except for your contact details. You can exercise your rights (access, rectification, erasure, etc.) by emailing [e-mail]. Your data may be shared with our HR service providers and will be stored securely. You can withdraw your consent at any time. We will not use your data for other purposes without your express consent. For more information, email [e-mail].