Role overview

Lead Data Engineer

Requirements and responsibilities

Readable role content extracted into sections for faster review.

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 haves

  • 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

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
  • Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
  • Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel

  • International projects
  • In-office, hybrid, or remote flexibility
  • Medical healthcare
  • Recognition program
  • Ongoing learning & reimbursement
  • Well-being program
  • Team events & local benefits
  • Sports compensation
  • Referral bonuses
  • Top-tier equipment provision
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Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, AzurePrimary skills
Location4 accepted countriesEligibility

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