{"id":1574306,"url":"https://alion.io/job/hofer-kg-data-analytics-frontend-platform-engineer-3","title":"Data & Analytics Frontend Platform Engineer","company":{"id":1045017,"name":"Hofer KG","domain":"hofer.at","url":"https://alion.io/company/hofer-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"B","score":75,"open_postings":99,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Frontend","role_family":"Frontend","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Active Directory","optional":false},{"name":"AI Agents","optional":false},{"name":"Alteryx","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Incident Management","optional":false},{"name":"Least Privilege","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SharePoint","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Agile","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-03T23:20:45Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"PLACE OF WORK\n1112 Budapest, Boldizsár utca 2.\nAREA OF EMPLOYMENT\nIT\nSTART OF WORK\nas soon as possible\nEMPLOYMENT TYPE\nFull-time\n\nmegállapodás szerint\n\nMy responsibilities:\nOperate, and continuously improve the enterprise data frontend platform consisting of the solutions Microsoft Power BI (Fabric), SAP Analytics Cloud and Tableau Server\nAct as platform engineer and technical administrator, managing the end-to-end platform lifecycle including tenant settings, tool rollout, compute capacities, workspaces, gateways, semantic models, security, monitoring, system integrations, governance, and user enablement\nTake full ownership of platform operations and continuous improvement, including incident management, proactive monitoring and performance management (e.g. analysis of log, usage metrics, network bottlenecks and refresh failures), documentation, technical debt reduction, standardization, and long-term platform maturity\nDesign and support scalable cloud integrations and connectivity across Power BI, Microsoft Fabric, AI agents, SAP Analytics Cloud, SAP Business Data Cloud, Databricks, Alteryx, Spark, SharePoint, SQL Server, and associated authentication and gateway services (e.g. managed connections in Fabric, Power BI VM gateway)\nAnalyze performance, including report performance, dataset refresh performance, capacity utilization, query behavior, and platform reliability and give recommendations for management decision-making\nBuild and support automated processes and API-based integrations for platform administration, user & license management, data backups, metadata extraction (e.g. usage, data refresh history, access reviews) and platform health monitoring via REST APIs, PowerShell, Python and AI agents\nImplement platform governance and security standards covering workspace management, lifecycle processes, certification, access control, compliance, service principals, Entra ID groups, Azure Key Vault integration, row-level security, and least-privilege access models\nCollaborate with data engineers, BI developers, security teams, cloud & infrastructure teams, architects, and business stakeholders\nTranslate business and platform requirements into scalable solution designs, operating models, technical patterns, implementation roadmaps, and guidance for AI agents, Fabric Apps, embedded analytics, and self-service BI\nSupport Databricks, Spark, and Fabric notebook-based engineering and monitoring use cases where required\nThe knowledge I own:\nDeep understanding of BI platform management (administration, integration, monitoring, improvements)\nHands-on experience with the administration of Microsoft Fabric and/or SAP Analytics Cloud or a similar analytics platform, including platform management, governance, capacity planning, feature rollouts, and user enablement in an enterprise context\nUnderstanding of cloud architecture and infrastructure and how enterprise BI platforms integrate with on premise/cloud solutions such as AI agents, SAP Business Data Cloud, Azure Databricks and relational databases\nExperience with REST APIs, Admin APIs, PowerShell cmdlets, and Python automation as well as network communications and proxy configurations\nKnowledge of Tableau Server administration (on prem), SAP data integration patterns, AI process automation or other enterprise analytics platforms is highly advantageous\nUnderstanding of service principals, security principals, authentication, authorization, Active Directory, Entra ID, Azure Key Vault, secrets management, and enterprise access control concepts\nAbility to extract, structure, and report on platform metadata, usage, audit events, workspaces, reports, datasets, dataflows, users, licenses, and refresh histories\nStrong performance analysis skills and experience with monitoring, alerting, diagnostics, incident handling, root cause analysis, and proactive platform health checks with a focus on management recommendations\nGood understanding of BI lifecycle management, Dev/Test/Prod concepts, deployment pipelines, git repositories, release management, and platform standardization\nAbility to design clear solution concepts, not just execute technical tasks\nFamiliarity with AI agents, Azure Databricks, Spark notebooks, Microsoft Power Platform, and data engineering workflows is a plus\nExperience in agile or product-oriented platform teams is an advantage\nFluent English, both written and spoken\nThe offer that would convince me:\nOpportunity to shape and own a frontend platform for enterprise data & analytics\nSpace to continuously improve platform governance, automation, monitoring, and architecture with own ideas\nA central role in a growing data, analytics, and cloud organization\nInternational environment with modern technologies (e.g. Microsoft, Databricks, SAP, AI agents) and high business relevance\nAbove-average salary and long-term employment opportunity\nIntensive onboarding, practical training, and varied technical challenges\nSecure, stable, and professional working environment\nOnline application:\nPlease use our online application and attach your resume\nAIIS Adatkezelési tájékoztató\nPrivacy notice","description_format":"text","description_chars":5123,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced 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