Why L'Oréal?

We are driven by a passion for beauty that moves the world.

We are the market leader in Beauty and a pioneer in Beauty Tech. As a result of the constantly changing world, cosmetics and technology are inseparably linked for us. Together with our consumers and partners, we anticipate trends and shape the beauty of tomorrow.

We live sustainability and environmental protection. By 2030, our Commitments mark the beginning of a more radical transformation and embody our view of how a company's vision, purpose and responsibility should look to meet the world's challenges. Our 88,000 employees in 150 countries are transforming our business to ensure that our activities respect the boundaries of our planet.

For our location in Düsseldorf we are looking for people who will join us in making a difference.

Are you passionate about data and eager to kickstart your career in a dynamic, international environment? Do you thrive in a collaborative setting where you can learn from experienced professionals and contribute to exciting data-driven initiatives? If so, this could be the perfect opportunity for you!

Role Overview:

As a Junior Data Engineer/ Scientist, you'll be a valued member of our Data & Analytics team, gaining valuable experience in designing, developing, and maintaining the data infrastructure that powers L'Oréal Deutschland GmbH and beyond. You'll collaborate with experienced engineers and diverse teams to ensure data quality, optimize data flows, and contribute to innovative solutions that drive reporting, analysis, and AI initiatives.

This role requires a flexible and mobile mindset – you'll have the opportunity to collaborate with teams across various L'Oréal departments and locations within the EU. You should be open to potentially relocating temporarily to other European locations for project assignments. Strong communication and teamwork skills are essential for success in this fast-paced, collaborative environment.

Your Key Responsibilities:

• Assist in Building Data Pipelines: Work alongside senior engineers to develop and maintain robust data pipelines and ETL processes, ensuring seamless data flow across L'Oréal's ecosystem.
• Learn Data Preparation Techniques: Gain hands-on experience in cleansing, preparing, and harmonizing data from diverse sources, including raw and unstructured data, to support reporting and analytics projects.
• Colaborate on Data Solutions: Contribute to the design and development of technical database structures and models alongside divisional teams, ensuring data accessibility and usability.
• Support Data Quality Initiatives: Participate in efforts to maintain high data quality and stable data flows, including assisting with incident management and resolution.
• Explore Automation Techniques: Assist in the development and maintenance of technical automation solutions, learning best practices for optimizing efficiency and scalability.
• Develop Documentation Skills: Contribute to the creation of comprehensive documentation for data sources, pipelines, and flows, promoting transparency and knowledge sharing.
• Engage in Cross-Functional Teamwork: Work closely with IT teams across divisions to understand data requirements, contribute to solution implementation, and ensure seamless integration.
• Gain Project Management Exposure: Participate in projects related to data acquisition and integration into Data/BI solutions, gaining valuable experience in project management methodologies.

Your Skills & Qualifications:

• Education: Recent graduate with a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Technical Skills:
  • Fundamentals: Basic understanding of relational databases and cloud technologies.
  • Programming: Familiarity with Python and SQL.
  • Microsoft Ecosystem: Exposure to the Microsoft technology stack (Power BI, Power Platform, SharePoint) is a plus.
• Eagerness to Learn: Strong desire to expand your knowledge and skills in data engineering, cloud technologies, and related areas.
• Problem-Solving & Communication: Solid analytical and problem-solving skills, with a proactive and collaborative approach to finding solutions. Excellent communication skills in English (both written and verbal) are essential. Proficiency in German is highly advantageous.
• Team Player & Mobile Mindset: Ability to thrive in a team-oriented environment and willingness to relocate temporarily within the EU for project assignments.

Join Our Team:

If you're a highly motivated and eager-to-learn Junior Data Engineer who is passionate about data and eager to contribute to a global leader in beauty, we encourage you to apply! Send us your CV and a cover letter highlighting your relevant coursework, projects, and passion for data.

Our offer

• Permanent employment in a crisis-resistant, growing market with a comprehensive range of social benefits.
• A competitive and attractive salary and benefits package
• Individual personal and professional development, a steep learning curve, strong team spirit and an open, cooperative culture
• Diverse, national and international perspectives

Diversity & Inclusion

L'Oréal is committed to providing equal opportunities to its applicants.

We value diversity, inclusion and individual self-expression in the workplace as diversity strengthens our teams and we want to reflect the image of society and therefore our consumers in our company. Any form of discrimination is therefore not tolerated.