Lead Data Engineer

About the role

Exadel, an AI‑first global tech company, is looking for a Lead Data Engineer to drive data integration, quality, and platform readiness for AI and automation initiatives. You will work closely with architecture and discovery teams to assess data sources and support implementation planning.

Key responsibilities

• 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 technical feasibility of 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 quick‑pilot opportunities from deeper platform work.
• Support technical documentation for final recommendations.

Required profile

• 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.

Required skills

• ETL/ELT
• Data pipelines
• APIs
• Azure
• Databricks
• Microsoft Fabric
• AWS
• Cloud data services
• Enterprise integrations

What we offer

• International projects with in‑office, hybrid, or remote flexibility.
• Medical healthcare and well‑being programs.
• Recognition, referral bonuses, and sports compensation.
• Ongoing learning reimbursement and top‑tier equipment provision.
• Team events and local benefits.