Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’ll Do

• Review available data sources, access patterns, interfaces, and integration options
• Assess data availability, quality, completeness, and readiness for prioritized use cases
• Identify ingestion, ETL/ELT, API, and system integration requirements
• Validate whether proposed AI, automation, and reporting use cases are technically feasible
• Identify implementation risks, blockers, dependencies, and assumptions
• Support platform recommendation with implementation-level input
• Provide rough sizing for Phase 2 build activities
• Help distinguish what can be piloted quickly versus what requires deeper platform work
• Support technical documentation for final recommendations

What You Bring

• Strong hands-on data engineering or backend engineering background
• Experience with ETL/ELT, data pipelines, APIs, cloud data services, and enterprise integrations
• Working knowledge of Azure, Databricks, Microsoft Fabric, AWS, or comparable platforms
• Ability to assess data readiness and implementation feasibility
• Experience supporting architecture and discovery phases
• Ability to communicate technical risks clearly to non-technical stakeholders

Nice to Have

• ERP, CRM, MES, finance, reporting, or operational systems integration
• Experience with data quality, master data, data ingestion, and platform modernization
• Exposure to AI/ML or GenAI implementation prerequisites

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more