Data Engineering Manager

CEVA Logistics; France; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Ceva Animal Health is seeking a Data Engineering Manager to lead and grow our Data Engineering team. You will own delivery of data pipelines and datasets, enforce engineering standards, and support Data Platform development and Data & AI transformation.

You will translate roadmaps into practical delivery plans, oversee pipeline design, data modelling and processing, and ensure quality, security and scalability while fostering an agile, high-performance team.

Qualifications

• 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.

Responsabilités

• Vision & Strategy: Translate the Data Platform roadmap into an operational delivery plan.
• Design & Delivery: Ensure the delivery of pipelines and datasets, while meeting quality standards and delivery timelines.
• Governance, Quality & Compliance: Enforce engineering standards (CI/CD, security, code quality, testing).
• Continuous Improvement & Innovation: Optimise engineering processes and costs.
• Collaboration & Technical Leadership: Ensure technical alignment with the Data Platform Architect.

Connaissances

Data engineering

Team leadership

Agile methods

English fluency

Formation

Degree in CS/Data

Outils

Snowflake

CI/CD

Data modelling

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.

Yourmissions

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
• Translate the Data Platform roadmap into an operational delivery plan.
• 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

• 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.