Data Engineering Manager
Data Platform | Legacy & Target st ack | Transformation & Business deliver y
Start date: January 2026
Duration: 6 months (renewable)
Location: On site at Libourne at least 3 days per week
Language: French & English
Context & Mission We are looking for an experienced Data Engineering Manager to lead the Data Engineering squad during a critical transition phase. The mission covers three parallel objectives :
• Bootstrap the future target Data Platform , whose stack is currently under validation and is expected to be based on Databricks or Snowflake on Microsoft Azure
• Migrate legacy data stacks progressively to the new platform
• Deliver ongoing business and client projects , both on legacy stacks and the new platform, without disrupting operations
This role requires strong leadership, execution discipline.
Key Responsibilities
• Lead and manage the Data Engineering squad (internal team and external partners)
• Own delivery, capacity, and operational performance across legacy and target platforms
• Ensure reliability, performance, scalability, and cost optimization
• Structure and drive the bootstrap of the target Data Platform
• Plan and execute the progressive migration from legacy to target stack
• Secure delivery of ongoing business and client projects on both stacks
• Define and enforce Data Engineering standards and ways of working
• Act as the main interface with Data Product, Architecture, and IT stakeholders
• Support and enable local CEVA Data teams on Data technology stacks
Required Skills & Experience
Proven experience as Data Engineering Manager / Lead in complex, transitional environments
Strong background in data platforms and data engineering Solid experience with Databricks and/or Snowflake , ideally on Azure Experience managing mixed teams (internal, consultants, offshore/AMS)
Strong understanding of run, incident management, and cost control Experience with legacy -to-target platform migration
Strong leadership and stakeholder management skills
Senior profile required (autonomous, pragmatic, delivery -focused)