{"id":3610280,"url":"https://alion.io/job/youriteams-data-analytics-engineer-microsoft-fabric-power-bi","title":"Data / Analytics Engineer (Microsoft Fabric, Power BI)","company":{"id":4441827,"name":"YourITeams","domain":"youriteams.com","url":"https://alion.io/company/youriteams","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Copilot","optional":false},{"name":"LLM","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-02T13:33:41Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T03:33:43Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Overview\nWe are seeking a Data / Analytics Engineer (Microsoft Fabric, Power BI) to join a project focused on measuring adoption and value delivered by AI initiatives. The person in this role will implement data ingestion and transformation pipelines in Microsoft Fabric, develop a semantic model and Power BI reporting, and help design a conversational data access layer that enables natural-language queries against the semantic model. The role requires translating business questions into measurable KPIs and ensuring the reliability and verifiability of data-driven answers.\nResponsibilities\nDesign and implement data flows in Microsoft Fabric, including ingestion, transformation, and data modeling across multiple sources.\nDevelop and maintain the semantic model and initial Power BI reports as the first project phase.\nCollaborate with business stakeholders to define KPIs for AI adoption and benefits, and translate those KPIs into measurable data metrics.\nPrototype and implement conversational data access (stage two) using technologies such as Fabric data agents, Copilot in Power BI, or custom solutions leveraging LLMs.\nEstablish validation and quality assurance practices for conversational answers: create test question sets, verify correctness, and define clear boundaries for appropriate queries.\nIntegrate data from diverse sources (APIs, files, databases, SaaS) while maintaining data integrity and lineage.\nProduce clear documentation and communicate technical decisions and limitations to business stakeholders in English.\nQualifications\nPractical experience with Microsoft Fabric components (Lakehouse/Warehouse, pipelines, Dataflows Gen2, notebooks).\nAdvanced Power BI skills, including data modeling, DAX, and building semantic models.\nProficient SQL skills and experience with Python or PySpark for data processing.\nExperience integrating data from multiple sources (APIs, files, databases, SaaS).\nExperience or demonstrable interest in GenAI solutions over data: text-to-SQL/DAX, Fabric data agents or Copilot, and familiarity with prompt engineering and assessing LLM response quality.\nAbility to communicate effectively with business stakeholders and independently clarify ambiguous requirements.\nBusiness-oriented thinking with a focus on KPIs and measurable value delivered.\nProactive and autonomous working style; fluent English for collaboration with a US-based client.\nPositive, personable attitude; a sense of humour is welcome.\nBenefits\nRemote work arrangement.\nUnique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.\nAgile approach and no bureaucracy.\nOutstanding integration trips to various places in Europe for all employees.\nActivities to support your well-being and healt\nProfessional growth through exposure to modern data engineering patterns, Power BI semantic modeling, and LLM-driven solutions.","description_format":"text","description_chars":2879,"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 (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-02T13:52:08Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":0,"expected_fill_days":48,"reasons":["conf:2","agency","velocity","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/youriteams-data-analytics-engineer-microsoft-fabric-power-bi","json_url":"https://alion.io/job/youriteams-data-analytics-engineer-microsoft-fabric-power-bi.json","meta":{"generated_at":"2026-11-03T07:31:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10647,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4441827},"rest":"https://alion.io/mcp/rest/get_company?id=4441827"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fyouriteams-data-analytics-engineer-microsoft-fabric-power-bi"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fyouriteams-data-analytics-engineer-microsoft-fabric-power-bi"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fyouriteams-data-analytics-engineer-microsoft-fabric-power-bi"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/youriteams-data-analytics-engineer-microsoft-fabric-power-bi\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fyouriteams-data-analytics-engineer-microsoft-fabric-power-bi"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3610280}},{"tool":"search_jobs","arguments":{"company":"youriteams.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3610280},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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