Senior Data / Analytics Engineer

Diverse CG Sp. z o.o. Sp.k.

Województwo mazowieckie

On-site

PLN 150,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Private medical care
Co-financing for sports card
Training & learning opportunities
Constant support of dedicated consult­
Employee referral program

Job summary

Diverse CG Sp. z o.o. Sp.k. poszukuje specjalisty ds.

analizy danych i raportowania, który zajmie się tworzeniem i utrzymaniem modeli semantycznych oraz raportów Power BI w środowisku Microsoft Fabric. Wspólnie z biznesem zdefiniuje KPI i wartość biznesową projektów, a także zapewni dostęp do danych poprzez interfejsy oparte na LLM. Wymagane jest doświadczenie z Fabric, Power BI, SQL i Python/PySpark, a także umiejętność pracy z kilkoma źródłami danych i komunikowania się z interesariuszami po

Qualifications

  • 5+ years of professional experience.
  • Hands-on experience with Microsoft Fabric (Lakehouse/Warehouse, pipelines, Dataflows Gen2, notebooks).
  • Very good knowledge of Power BI: data modeling, DAX, semantic models.
  • Good SQL skills and experience with Python/PySpark.
  • Experience integrating data from various sources (APIs, files, databases, SaaS platforms).
  • Experience with GenAI for data: text-to-SQL/DAX, Fabric Data Agents or Copilot; basic prompt engineering.
  • Confidence in communicating with business stakeholders and clarifying requirements.
  • Ability to think in terms of KPIs and business value.
  • Proactive and independent approach.
  • Fluent English for working with a US-based client.

Responsibilities

  • Data flows in Microsoft Fabric (ingestion, transformations, data modeling) from multiple sources.
  • Semantic model and Power BI reports.
  • Defining AI adoption and business value KPIs together with business stakeholders.
  • Conversational access to data based on the semantic model (Fabric Data Agent, Copilot in Power BI, or a custom LLM-based solution).
  • Ensuring reliable responses through test question sets, accuracy validation, and defined boundaries regarding the types of questions the solution can handle.

Skills

Stakeholder communication
Analytical thinking
KPI mindset
Independent / proactive
Fluent English
Data storytelling

Tools

Microsoft Fabric
Power BI
SQL
Python/PySpark
APIs / data sources
GenAI / Copilot

Job description

O projekcie:
Offer:
  • Private medical care
  • Co-financing for the sports card
  • Training & learning opportunities
  • Constant support of dedicated consultant
  • Employee referral program
Wymagania:
Requirements:
  • 5+ years of professional experience
  • Hands-on experience with Microsoft Fabric (Lakehouse/Warehouse, pipelines, Dataflows Gen2, notebooks)
  • Very good knowledge of Power BI: data modeling, DAX, semantic models
  • Good SQL skills and experience with Python/PySpark
  • Experience integrating data from various sources (APIs, files, databases, SaaS platforms)
  • Experience with or a genuine interest in GenAI solutions for data, including text-to-SQL/DAX, Fabric Data Agents or Copilot, as well as basic knowledge of prompt engineering and LLM response quality evaluation
  • Confidence in communicating directly with business stakeholders and independently clarifying unclear requirements
  • Ability to think in terms of KPIs and business value
  • Proactive and independent approach
  • Fluent English for working with a US-based client
Nice to have:
  • Experience with reporting on tool adoption, ROI, or digital transformation
  • Knowledge of Azure OpenAI / Azure AI Foundry
Codzienne zadania:
Responsibilities:
  • Data flows in Microsoft Fabric (ingestion, transformations, data modeling) from multiple sources
  • Semantic model and Power BI reports
  • Defining AI adoption and business value KPIs together with business stakeholders
  • Conversational access to data based on the semantic model (e.g. Fabric Data Agent, Copilot in Power BI, or a custom LLM-based solution)
  • Ensuring reliable responses through test question sets, accuracy validation, and clearly defined boundaries regarding the types of questions the solution can handle
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