Data Engineering Manager

CEVA SANTE ANIMALE; Libourne; Sur place; EUR 90 000 - 130 000; Plein temps

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

Data Engineering Manager

The success of a company depends on the passionate people we partner with.

Together, let's share our talents.

As a global leader in animal health, Ceva Animal Health believes our success is linked to our passionate people researching, developing , producing and supplying innovative health solutions for all animals, which contributes to the future of our diverse planet.

We are committed to ensuring the highest possible level of care and well-being for farm animals (poultry, pigs, ruminants), companion animals (dogs and cats) and wildlife.

Indeed, Our “Together, Beyond Animal Health” vision emphasizes that the health and wellbeing of people, animals and our planet are totally interlinked. More than ever, Ceva is committed to a "One Health" approach.

As part of our “Diversity, Equity and Inclusion” policy, Ceva Animal Heath is committed to the employment of people with disabilities and will make reasonable accommodations throughout the interview process to ensure an inclusive and accessible experience for all applicants. To request an accommodation, please contact a member of the Ceva Talent Acquisition team.

Your missions :

Context:

As part of the acceleration of our Data & AI strategy, we are looking for a Data Engineering Manager to lead and develop our Data Engineering team. You will be responsible for the delivery of pipelines and datasets, the application of engineering standards, and supporting teams in a context of Data Platform development and Data & AI transformation.

Main Responsibilities

• Vision & Strategy
• Contribute to the development of the Group’s Data Platform and its Data & AI transformation.
• Design & Delivery
• Ensure the delivery of pipelines and datasets, while meeting quality standards and delivery timelines.
• Allocate engineering resources and manage team capacity.
• Oversee the implementation of Data solutions (pipelines, data modelling, data processing).
• Governance, Quality & Compliance
• Enforce engineering standards (CI/CD, security, code quality, testing).
• Ensure the robustness and scalability of pipelines.
• Continuous Improvement & Innovation
• Optimise engineering processes and costs.
• Implement development and industrialisation best practices.
• Collaboration & Technical Leadership
• Ensure technical alignment with the Data Platform Architect.
• Collaborate with Data, BI, AI and IT teams to support organisational needs.
• Management
• Lead, support and develop a team of Data Engineers.
• Drive team activities and foster an agile and efficient way of working (Scrum, Kanban, Jira).

Your profile :

Your Profile:

• Higher education degree in Computer Science, Data, or a related field.
• At least 8 years of experience in Data Engineering, Data Platforms or Data Architecture.
• Successful first experience managing a Data team.
• Experience building, launching or bringing a modern Data Platform into production.
• Strong understanding of Snowflake environments and Data Engineering topics (pipelines, data modelling, data processing).
• Solid knowledge of engineering best practices (CI/CD, code quality, testing, industrialisation).
• Experience leading teams in Agile environments (Scrum, Kanban, Jira).
• Leadership, pragmatism and a strong delivery mindset.
• Comfortable working in transformation and build-up environments.
• Fluent English, both written and spoken.