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Publié il y a 122 jours

Trainee Data Engineer

Entreprise
GivaudanRecrute en direct
Localisation
Argenteuil, Île-de-France
Sur site
Type de contrat
CDI
Niveau

Salaire du marché

Médiane du marché
55k€
Estimation
46k€fourchette habituelle58k€

Cette offre n'affiche pas de salaire. D'après 73 offres pour ce poste (tous niveaux, Île-de-France), le marché se situe autour de 55k€ (46k€–58k€).

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Description du poste

Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with kindness and humility, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions that make people look and feel good. There's much to learn and many to learn from, with more than 17,000 employees around the world to explore ideas and ambitions with. Dive into varied, flexible, and stimulating environments. Meet empowered professionals to partner with, befriend, and stretch your skills alongside. Every day, your energy, your creativity, and your determination will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature.

As a Trainee Data Platform Engineer, you will join the Data Platform & Engineering team and contribute to the development and operation of the enterprise Data Platform.
Under the guidance of senior engineers and Tech Leads, you will learn how to design, build, and operate scalable, secure, and reliable data platform components, with a focus on Snowflake, SQL,
and Python.

This role is designed as a learning and growth position, offering hands-on exposure to modern data engineering and platform practices in a large, multi-domain enterprise environment.

Key Responsibilities

Platform Engineering Support & Delivery

• Contribute to the development and maintenance of data platform components (databases,schemas, pipelines, shared services)
• Assist in building and maintaining data ingestion and transformation pipelines using SQL and Python
• Support platform activities related to data quality, performance, and cost efficiency
• Participate in troubleshooting and incident resolution with senior engineers
• Follow platform engineering standards, best practices, and security guidelines

Learning & Technical Development

• Learn how to work with Snowflake (data structures, queries, tasks, access control)
• Develop strong foundations in SQL and Python for data engineering and automation
• Gain exposure to the full data lifecycle: ingestion ↛ transformation ↛ consumption
• Participate in code reviews, technical workshops, and knowledge-sharing sessions
• Progressively take ownership of small technical components or improvements

Collaboration & Ways of Working

• Work closely with Platform Engineers, Data Engineers, and Tech Leads
• Collaborate with other teams such as Data Governance, Architecture, and Analytics when required
• Communicate clearly on progress, issues, and learnings
• Embrace an agile, collaborative, and continuous-improvement mindset

Technical Stack (Learning Focus)

• Data Platform: Snowflake
• Languages: SQL, Python
• Data Engineering Concepts: ELT pipelines, data modeling basics, orchestration
• Tooling: Git, CI/CD basics, monitoring & documentation tools
• Cloud & Modern Data Platforms (exposure and fundamentals)

Profile & Background

• Currently completing or recently graduated from a Bachelor's or Master's degree in:Computer Science,Data / Software Engineering,Applied Mathematics or a related technical field
• First experience (internship, academic project, personal project) with:SQL and relational databases, Python or another programming language.
• Strong interest in data engineering, data platforms, or analytics engineering
• Motivation to learn and grow in an enterprise technology environment

Nice to Have / Plus
• Basic exposure to:Data platforms or cloud environments,Data modeling or analytics projects
• Interest in Data Science, AI, or advanced analytics
• Curiosity about AI-enabled or agentic systems applied to data platforms (e.g. automation, smart monitoring, augmented analytics)
• Familiarity with version control (Git) or DevOps concepts

Soft Skills
• Curious, proactive, and eager to learn
• Structured and detail-oriented
• Team player with strong collaboration mindset
• Able to communicate clearly and ask questions
• Comfortable receiving feedback and progressing iteratively

At Givaudan, you contribute to delightful taste and scent experiences that touch people's lives.

We value the different perspectives that come from diverse cultures, backgrounds, and experiences.

Everyone - regardless of race, gender identity, sexual orientation, age, disability, culture, religion, or any personal circumstances - is warmly welcomed at Givaudan, a place where we all love to be and grow.

Every essence of you enriches our world. Join us in making a difference together.

Exigences du poste

Stack technique :

SnowflakeSQLPythonGit

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À propos de l'entreprise

GivaudanRecrute en direct
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