{"id":2402087,"url":"https://alion.io/job/atea-senior-analytics-engineer","title":"Senior Analytics Engineer","company":{"id":187405,"name":"Atea","domain":"atea.lv","url":"https://alion.io/company/atea-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ReachMee","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":113000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2647},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"MS SQL","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-12T23:49:29Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T17:36:48Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Position Type: Full-time\nLocation: Antonijas iela 17\nWorking Model: Hybrid\nWorking hours: 09:00-18:00\nSenior Analytics Engineer is a technical leader responsible for architecting and delivering complex, enterprise-grade BI and data solutions. You hold deep subject matter expertise in designing, creating, and managing the entire stack of analytical assets-including large-scale semantic models, data warehouses, lakehouses, and enterprise-level reporting solutions. You will lead initiatives with customers and internal stakeholders to shape project's vision from a raw idea into a concrete roadmap, partnering with architects, engineers, analysts, and administrators to ensure seamless performance from the backend to the final executive dashboard.\nYour responsibilities:\nStrategic Ideation & Scoping: Lead the initial discovery phase with clients and internal leadership, transforming ambiguous business requests into clear technical architectures and documented project requirements.\n\nAsset Architecture: Architect and optimize core data assets within Microsoft Fabric (OneLake, Lakehouses, Warehouses), ensuring storage and partitioning strategies scale smoothly with massive data volumes.\n\nEnterprise Semantic Modeling: Design complex, high-performance semantic models and enterprise modeling techniques, ensuring quick report response times.\n\nAdvanced Visualization & Reporting Artifacts: Design framework-driven, interactive Power BI reports, paginated reports, and analytics artifacts.\n\nData Enrichment & Engineering: Build highly efficient data processing pipelines using Fabric stack, ensuring data is enriched for downstream business intelligence.\n\nSecurity, Governance & Lifecycle Management: Define and implement security frameworks for analytics assets. Own the release management lifecycle using Fabric Deployment Pipelines and Git integration to promote code cleanly through Dev, Test, and Prod.\n\nMentorship & Technical Advocacy: Act as the technical anchor for the data team, reviewing code, establishing data visualization and engineering best practices, and mentoring mid-level engineers.\n\nWhat makes you a great fit:\nCommunication: Exceptional client-facing consulting skills with a proven track record of designing data stories that impact executive decision-making.\n\nTechnical Stack: High-level T-SQL, DAX, Power BI visualization design, and Python (PySpark). Deep understanding of Microsoft Fabric's underlying architecture and UI optimization.\n\nExperience: 5+ years of experience with end-to-end data projects from conception to visualization with Azure Data Factory/Power BI/Fabric stack.\n\nCertifications: Microsoft Certification PL-300 and DP-600 (Fabric Analytics Engineer Associate) is highly preferred. 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