Senior Azure Data & AI Engineer

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. Join Infinite Services to shape data ecosystems for top global brands. We drive innovation, improve customer experiences, and empower decision-making with cutting-edge data platforms.

• 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 such as data transformation and automation.
• Practical experience 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.
• 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.

• 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).
• Develop custom Python-based ingestion and transformation components where native ADF connectors fall short.
• 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.
• Identify and drive cost optimization and architectural simplification opportunities.
• Participate in architecture reviews and contribute to technical decision-making.

100% remote; Location: Poland; Full-time engagement (long-term cooperation preferred).