{"id":1807839,"url":"https://alion.io/job/luza-group-senior-data-engineer-azure-microsoft-fabric-2","title":"Senior Data Engineer (Azure & Microsoft Fabric)","company":{"id":3807097,"name":"LUZA Group","domain":"luzagroup.com","url":"https://alion.io/company/luza-group","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":"teamlyzer.com","ats_vendor":"Gupy","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":["PT"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":78000,"period":"year","method":"role_seniority_country_cell","sample_n":15},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-02T00:00:00Z","board_verified":false,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"Sobre a vaga\nDesign and implement end-to-end data architectures. Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.\nO que vais fazer\nDesign and implement end-to-end data architectures (e.g., Medallion Architecture)\nBuild, maintain, and optimize ETL/ELT pipelines\nDevelop scalable data ingestion and transformation processes\nDesign and manage Data Lakes and Data Warehouses\nEnsure data quality, governance, lineage, and monitoring\nImplement CI/CD and DataOps best practices\nOptimize storage solutions and data processing performance\nCollaborate with technical and business stakeholders\nMentor junior and mid-level engineers\nDrive continuous improvements to the data platform\nO que é pedido\n5+ years of experience in Data Engineering\nStrong expertise in end-to-end data architecture and design\nExperience with Microsoft Azure (Fabric, Azure Data Factory, Synapse Analytics, Azure Data Lake)\nProficient in Python, SQL, and Spark\nStrong knowledge of relational and NoSQL databases\nSkilled in DataOps and CI/CD practices\nExperienced in data modeling, validation, lineage, and monitoring\nAble to optimize data pipelines for performance, scalability, and cost efficiency\nValorizado\nFamiliarity with equivalent services on AWS and Google Cloud Platform (GCP)\nO que é oferecido\nWage according to candidate's professional experience\nRemote Work whenever possible\nDelivery of work equipment adjusted to the performance of functions\nBenefits plan\nAnd others\nResumo organizado por IA a partir do anúncio original. 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