Data / Analytics Engineer (Microsoft Fabric, Power BI)

Youriteams; Polska; Híbrido; PLN 180.000 - 280.000; Jornada completa

Descripción de la vacante

Your ITeams Sp. z o.o. is seeking a Data / Analytics Engineer to design data flows in Microsoft Fabric, build a semantic model, and deliver Power BI reports for AI adoption metrics.

You will translate business questions into KPIs, establish data quality, and enable conversational data access with LLMs, collaborating with stakeholders in English across a fast-paced project environment.

Formación

• 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.

Responsabilidades

• 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 (stage two) 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.

Conocimientos

Microsoft Fabric

Power BI

SQL

Python

PySpark

Data modeling

DAX

GenAI

English

Communication

Descripción del empleo

Job Overview

We 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.

Responsibilities

• 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 (stage two) 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.

Qualifications

• 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.
• Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
• Agile approach and no bureaucracy.
• Outstanding integration trips to various places in Europe for all employees.
• Activities to support your well-being and healt
• Professional growth through exposure to modern data engineering patterns, Power BI semantic modeling, and LLM-driven solutions.