Senior Azure Data & AI Engineer

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

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.

At Infinite Services, you’ll work on impactful, international projects while enjoying real work–life balance in a collaborative and inspiring environment.

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.

• 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, Logic Apps, 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 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 Dev Ops, 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
• Access to private medical care & sports card
• Additional training opportunities
• Supportive, knowledge‑sharing environment with senior experts
• Opportunity to grow within a high‑impact, international project