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Salary
≈ $56k – $104k per year (Estimated)
Location
Hybrid (Kraków, Poland)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Sep 11, 2026. Avanade scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Seattle, Washington, Avanade is a global professional services and IT consulting firm specializing in digital transformation, cloud services, and enterprise technology solutions exclusively across the Microsoft ecosystem. Founded in 2000 as a joint venture between Accenture and Microsoft, the company delivers comprehensive advisory, engineering, and managed services spanning Azure cloud migration, generative artificial intelligence and advanced analytics, enterprise resource planning (ERP) and customer engagement via Dynamics 365, modern workplace transformation, and cybersecurity. Serving large enterprises, Fortune 500 corporations, and complex public-sector organizations worldwide, the firm combines deep technical specialization with human-centric business strategy to help clients modernize IT architectures, scale operational resilience, and maximize value from their Microsoft technology investments.

Come join us

We’re seeking a Data & AI Engineer to design and deliver intelligent solutions on Azure using modern data practices. You’ll contribute to cross-industry projects that bring together Azure OpenAI, Azure AI Foundry, and other leading AI capabilities. When required by the project, you’ll also take on Data Engineering work-building data pipelines and implementing ETL processes.

What you’ll do

  • Build and release AI solutions using Azure OpenAI and related Azure AI services

  • Connect AI components with enterprise data platforms, pipelines, and operational systems

  • Partner with data engineers to ensure high-quality, well-structured data feeds AI workflows

  • Prototype and evaluate emerging AI features, turning them into practical client-facing improvements

  • Step into a Data Engineering role when a project calls for it

.

Skills and experiences

To succeed in this position, you should have:

  • Proven experience with the Azure AI stack (OpenAI, AI Foundry, Cognitive Services)

  • Strong Python skills

  • Comfort translating AI concepts into clear guidance for both technical and non-technical audiences

  • Working knowledge of prompt engineering techniques

  • Solid grasp of data engineering fundamentals (ETL, data modeling)

  • Experience with ML frameworks such as PyTorch and TensorFlow

  • Ideally, practical exposure to data engineering platforms and tools such as Databricks, ADF, MS Fabric

  • English at B2 level (or higher)

.

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