Data Engineering Manager: Lead Data Platform & AI Transformation

CEVA SANTE ANIMALE

Libourne

Sur place

EUR 90 000 - 130 000

Plein temps

14 jours+

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Résumé du poste

CEVA SANTE ANIMALE seeks a Data Engineering Manager to lead our Data Engineering team and advance our Data Platform and Data & AI transformation. You will drive pipelines, data modelling, and data processing while upholding engineering standards and delivery timelines.

Ideal candidates have 8+ years in Data Engineering and a strong background in Snowflake, CI/CD, and agile leadership. Fluent English is expected; you will collaborate with Data, BI, AI and IT teams in a global context.

Qualifications

  • Higher education in Computer Science, Data, or related field.
  • 8+ years in Data Engineering, Data Platforms, or Data Architecture.
  • First experience managing a Data team.
  • Experience bringing a modern Data Platform into production.

Responsabilités

  • Vision & Strategy: contribute to Data Platform and Data & AI transformation.
  • Design & Delivery: ensure pipelines and datasets delivery with quality and timelines; manage team capacity.
  • Governance, Quality & Compliance: enforce CI/CD, security, code quality and testing.
  • Continuous Improvement & Innovation: optimize processes and costs; implement best practices.
  • Collaboration & Technical Leadership: align with Data Platform Architect; collaborate with Data, BI, AI and IT teams.
  • Management: lead and develop a team of Data Engineers; promote agile practices (Scrum, Kanban, Jira).

Connaissances

Data Engineering
Snowflake
CI/CD
Agile
Team Leadership

Formation

Bachelor’s/Master in Computer Science or related

Outils

Snowflake
Jira

Description du poste

CEVA SANTE ANIMALE seeks a Data Engineering Manager to lead our Data Engineering team and advance our Data Platform and Data & AI transformation. You will drive pipelines, data modelling, and data processing while upholding engineering standards and delivery timelines.

Ideal candidates have 8+ years in Data Engineering and a strong background in Snowflake, CI/CD, and agile leadership. Fluent English is expected; you will collaborate with Data, BI, AI and IT teams in a global context.

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