{"id":134923,"url":"https://alion.io/job/brillio-senior-lead-data-engineer-r01562061","title":"Senior Lead Data Engineer - R01562061","company":{"id":3063,"name":"Brillio","domain":"brillio.com","url":"https://alion.io/company/brillio","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":76,"open_postings":42,"ghost_share":0,"stale_share":0.952,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":["RO"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":68000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":771},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-03-02T18:09:29Z","employer_posted_date":"2026-03-02","last_verified_at":"2026-11-02T07:53:02Z","board_verified":true,"closed_at":null,"days_open":244,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":244},"description":"Role Overview\nWe are seeking an experienced Senior Data Engineer to design and build next-generation data platforms leveraging AI Copilot capabilities and Microsoft Fabric. This role focuses on enabling intelligent, scalable, and automated data workflows while supporting advanced analytics and AI-driven use cases. You will play a key role in modernizing data architecture and embedding AI-assisted development practices across the data lifecycle.\nKey Responsibilities\nDesign, build, and maintain scalable data pipelines and data platforms using Microsoft Fabric.\nDevelop and optimize data ingestion, transformation, and orchestration workflows.\nLeverage AI Copilot tools to accelerate development, automate data engineering tasks, and improve productivity.\nImplement and manage Lakehouse architectures and unified data environments.\nCollaborate with data scientists and analysts to enable AI/ML and advanced analytics use cases.\nEnsure data quality, governance, security, and compliance across all pipelines.\nOptimize performance and cost efficiency of data workloads.\nIntegrate data from multiple sources (structured, semi-structured, and streaming).\nContribute to data modeling, metadata management, and lineage tracking.\nSupport CI/CD pipelines, testing, and deployment of data solutions.\nMentor junior engineers and promote best practices in data engineering and AI-assisted development.\nRequired Skills & Experience\n6+ years of experience in data engineering or related roles.\nStrong hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Synapse, or equivalent components).\nExperience working with AI Copilot tools (e.g., GitHub Copilot, Azure AI Copilot) in development workflows.\nProficiency in Python and/or Scala.\nStrong experience with SQL and large-scale data processing.\nExperience with Spark and distributed data systems.\nSolid understanding of data warehousing and lakehouse architectures.\nFamiliarity with Azure ecosystem (Azure Data Factory, Azure Synapse, Azure Data Lake).\nExperience with data governance, security, and compliance frameworks.\nKnowledge of CI/CD pipelines, DevOps practices, and version control (Git).\nExperience enabling AI-driven data platforms or intelligent data workflows.\nFamiliarity with real-time/streaming data processing.\nKnowledge of MLOps and integration with machine learning pipelines.\nExperience with Power BI or other data visualization tools.\nExposure to enterprise data platform migrations or modernization programs.","description_format":"text","description_chars":2484,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","AI Consulting & Integration","Cloud Consulting & Migration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-03-02T18:09:29Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long 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