Lead Data Engineer for AI platforms

Exadel is a global technology company focused on AI platforms, digital transformation, and engineering solutions for enterprise clients.

• 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 the technical feasibility of proposed AI, automation, and reporting use cases;
• Identify implementation risks, blockers, dependencies, and assumptions;
• Support platform recommendations with implementation-level input;
• Provide rough sizing for Phase 2 build activities;
• Distinguish what can be piloted quickly from what requires deeper platform work;
• Support technical documentation for final recommendations.

• Have a strong hands-on data engineering or backend engineering background;
• Have experience with ETL/ELT, data pipelines, APIs, cloud data services, and enterprise integrations;
• Have working knowledge of Azure, Databricks, Microsoft Fabric, AWS, or comparable platforms;
• Be able to assess data readiness and implementation feasibility;
• Have experience supporting architecture and discovery phases;
• Be able to communicate technical risks clearly to non-technical stakeholders;
• English at Upper-Intermediate level;
• 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.

• Compensation details are shared with candidates at the early stage of the recruitment process;
• Benefits vary by location and contract type;
• International projects;
• Medical healthcare;
• Recognition program;
• Ongoing learning and reimbursement;
• Well-being program;
• Team events and local benefits;
• Sports compensation;
• Referral bonuses;
• Top-tier equipment provision.