Azure AI & Data Engineer - Build Intelligent Solutions

Avanade; Kraków; On-site; PLN 180,000 - 320,000; Full time

Job summary

Avanade is seeking a Data & AI Engineer to design and deliver intelligent solutions on Azure using modern data practices, including Azure OpenAI and Azure AI Foundry. You’ll contribute to cross‑industry projects and take on data engineering work when required to build data pipelines and ETL processes.

You’ll connect AI components with enterprise data platforms, partner with data engineers to ensure high‑quality data feeds for AI workflows, and prototype emerging AI features for practical client

Qualifications

• Experience with the Azure AI stack (OpenAI, AI Foundry, Cognitive Services).
• Strong Python skills.
• Ability to translate AI concepts for both technical and non-technical audiences.
• Knowledge of prompt engineering techniques.
• Solid data engineering fundamentals (ETL, data modeling).
• Experience with PyTorch and TensorFlow.
• Exposure to Databricks, ADF, MS Fabric.
• English at B2 level (or higher).

Responsibilities

• 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

Python

Prompt engineering

Data engineering fundamentals

Communication

ETL basics

Tools

Azure OpenAI

Azure AI Foundry

Databricks

Azure Data Factory (ADF)

MS Fabric

PyTorch

TensorFlow

Job description

Avanade is seeking a Data & AI Engineer to design and deliver intelligent solutions on Azure using modern data practices, including Azure OpenAI and Azure AI Foundry. You’ll contribute to cross‑industry projects and take on data engineering work when required to build data pipelines and ETL processes.

You’ll connect AI components with enterprise data platforms, partner with data engineers to ensure high‑quality data feeds for AI workflows, and prototype emerging AI features for practical client