Data Engineering Manager

Data Engineering Manager – Natobotics

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Start date: January 2026Duration: 6 months (renewable)Location: On site at Libourne at least 3 days per weekLanguages: 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).

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology; IT Services and IT Consulting

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