Data / Analytics Engineer (Microsoft Fabric, Power BI)

Brak informacji o wynagrodzeniu

NieokreśloneZdalnieFull-time

#472665·Dodano 2 dni temu·3

Źródło: YourITeams

Aplikuj teraz

Tech Stack / Keywords

Microsoft FabricPower BISQL Python PySparkDAXLLMsAPIsCopilotDataflows Gen2

Podsumowanie oferty

Build data pipelines, semantic models, and reporting for a project measuring AI adoption and value delivered. You will also help develop conversational data access to the semantic model using Microsoft Fabric, Power BI, and LLM-based solutions.

Wymagania

Practical experience with Microsoft Fabric components (Lakehouse/Warehouse, pipelines, Dataflows Gen2, notebooks).
Advanced Power BI skills, including data modeling, DAX, and building semantic models.
Proficient SQL skills and experience with Python or PySpark for data processing.
Experience integrating data from multiple sources (APIs, files, databases, SaaS).
Experience 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.
Ability to communicate effectively with business stakeholders and independently clarify ambiguous requirements.
Business-oriented thinking with a focus on KPIs and measurable value delivered.
Proactive and autonomous working style; fluent English for collaboration with a US-based client.
Positive, personable attitude; a sense of humour is welcome.

Obowiązki

Design and implement data flows in Microsoft Fabric, including ingestion, transformation, and data modeling across multiple sources.
Develop and maintain the semantic model and initial Power BI reports as the first project phase.
Collaborate with business stakeholders to define KPIs for AI adoption and benefits, and translate those KPIs into measurable data metrics.
Prototype and implement conversational data access using technologies such as Fabric data agents, Copilot in Power BI, or custom solutions leveraging LLMs.
Establish validation and quality assurance practices for conversational answers: create test question sets, verify correctness, and define clear boundaries for appropriate queries.
Integrate data from diverse sources (APIs, files, databases, SaaS) while maintaining data integrity and lineage.
Produce clear documentation and communicate technical decisions and limitations to business stakeholders in English.

Benefity

Integration trips to various places in Europe for all employees.
Professional growth through exposure to modern data engineering patterns, Power BI semantic modeling, and LLM-driven solutions.

Spotkania integracyjne

YourITeams

82 aktywne oferty

Zobacz wszystkie oferty

Aplikuj teraz