{"id":2406027,"url":"https://alion.io/job/syone-data-engineer-syone","title":"Data Engineer - Syone","company":{"id":2555720,"name":"Syone","domain":"syone.com","url":"https://alion.io/company/syone","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Deel","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":93000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OneDrive","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SharePoint","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-06T15:38:43Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-10-14T19:05:00Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"Tarefas:\n1 - 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: \nScalable ingestion pipelines from enterprise systems including SharePoint, Salesforce, Azure SQL, SQL Server, Microsoft 365, OneDrive, ERP and CRM platforms, file repositories, and REST APIs \nStreaming and batch ETL/ELT pipelines with schema evolution, data quality validation, and automated transformation \nStorage and processing performance optimisation across structured and unstructured data \nMonitoring, 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: \nEnterprise taxonomy, metadata standards, and semantic data models \nDocument classification frameworks and knowledge graph foundations \nData catalog strategy, lineage tracking, and data ownership management \nAccess control, security, and compliance governance across the platform \nCentralised discoverability - enabling any team to find and trust enterprise data\n3 - AI Readiness: Prepare enterprise knowledge for consumption by AI applications and agents built on top of this platform: \nDocument chunking strategies optimised for retrieval and context windows \nEmbedding pipelines and vector-ready datasets for Retrieval Augmented Generation (RAG) \nReusable knowledge services exposable to AI applications via APIs \nSupport for Azure AI Search and vector database integrations\nRequired Technical Skills:\nPython (expert) \nSQL (advanced) \nApache Spark \nMicrosoft Fabric \nAzure Data Platform \nAzure Data Factory \nDelta Lake \nLakehouse / Medallion Architecture \nETL / ELT pipeline development \nData Modelling & Warehousing \nREST API integration \nData Governance & Metadata Management \nMaster Data Management \nSemantic Modelling \nGit & CI/CD\nEnterprise Platform Experience:\nDemonstrated experience integrating: Salesforce · SharePoint · Microsoft 365 · Azure Data Lake · Azure SQL · Azure Storage · Power Platform (preferred)\nExperience:\n\n 7+ years in data engineering \n3+ years building enterprise-scale cloud data platforms \nProven track record designing enterprise data architecture from greenfield \nExperience supporting AI/ML workloads and preparing data for model consumption\nWhat can Syone offer me:\nIntegration in an organization with profound and sustained growth and involvement in pioneering projects with innovative technological solutions;\n\nStrong IT training plans;\n\nProfessional evolution with intervention in ambitious technological projects, both national and internationally.\n\nBy 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 . 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. 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