Senior Azure Data & AI Engineer/ Architect

Join a team that builds solutions for global leaders

We are an IT services company specializing in building cutting-edge data platforms for large enterprises worldwide. Our solutions help some of the biggest global corporations stay ahead in a fast-changing digital landscape.

What makes us different?

👉 A team of experienced consultants — mostly senior-level experts

👉 Real impact on large-scale, business-critical systems

👉 A strong focus on quality, innovation, and knowledge sharing

About The Role

We are looking for a Senior Azure Data & AI Engineer to join a high-impact project for one of our global enterprise customers. You will be a key contributor to designing, building, and maintaining a cloud-native data solution that powers a multi-model AI engine. This is a hands-on engineering role with significant ownership - you will be expected to make architectural decisions, not just execute on specifications. The ideal candidate combines deep Azure data engineering expertise with a security-first mindset and a track record of building cost-efficient data & AI solutions.

Key Responsibilities

• Design and implement data ingestion pipelines from multiple cloud data sources - including SharePoint Online, SQL databases, and REST APIs - using Azure Data Factory and complementary Azure services (Functions, LogicApps, etc.)
• Develop custom Python-based ingestion and transformation components where native ADF connectors fall short (propose and justify the right tooling)
• Orchestrate and automate end-to-end data pipelines, ensuring reliability, observability, and maintainability
• Load and manage structured and unstructured data in Azure AI Search, including index design and automation, chunking strategies, and document lifecycle management
• Collaborate on the integration layer between Azure AI Search and a multi-model OpenAI-based AI engine
• Apply security and compliance controls consistently across all pipeline components
• Proactively identify and drive cost optimization and architectural simplification opportunities
• Participate in architecture reviews and contribute to technical decision-making

• 5+ years of hands-on experience with Azure data services in production environments
• Advanced proficiency with Azure Data Factory - including parameterized pipelines, custom activities, triggers, and monitoring
• Proficiency in Python for data engineering tasks (data transformation, automation)
• Practical experience of working with Azure AI Search (indexes, skillsets, indexers)
• Understanding of RAGs, vector search, semantic ranking, and hybrid search patterns
• Experience with document chunking strategies and embedding pipelines
• Good knowledge of prompt engineering patterns and practices
• Solid understanding of Azure networking and security fundamentals (VNets, Key Vault, Managed Identities, RBAC)
• Hands-on experience with Infrastructure-as-Code and CI/CD for Azure deployments (Azure DevOps, Bicep/Terraform)
• Ability to critically evaluate and simplify existing architectures, not just extend them

• Experience with Azure Web Apps and Azure Cache for Redis in data-serving scenarios
• Familiarity with Microsoft Foundry and Azure OpenAI in Foundry Models
• Exposure to Snowflake as a data source for Azure integrations
• Prior projects for regulated industries or large global enterprises

✨ Certification & training budget to support your growth

🏡 Flexible work model — remote or hybrid, your choice

🏥 Private medical care & sports card

📚 Additional training opportunities

🤝 Supportive, knowledge-sharing environment with senior experts

🚀 Opportunity to grow within a high-impact, international project

Hiring process — simple & transparent

• Quick HR call to get to know you
• Technical meeting with a Manager or Architect
• Feedback & next steps