Data Engineering Manager, Libourne

Data Engineering Manager– Natobotics Join to apply for the

Data Engineering Manager

role at

Natobotics .

Start date:

January 2026 Duration:

6 months (renewable) Location:

On site at Libourne at least 3 days per week Languages:

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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