Data & AI Engineer
Summary
Designs and delivers AI solutions on Azure (Azure OpenAI, AI Foundry, Cognitive Services) for cross-industry client projects, wiring AI into enterprise data platforms and pipelines, and stepping into data engineering (ETL) work when projects require. Core stack: Python, Azure AI services, PyTorch/TensorFlow, Databricks/ADF/MS Fabric.
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
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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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