Data Engineering - User Analytics Intern at LOUIS DREYFUS COMPANY ASIA PTE LTD

Villeurbanne, Auvergne-Rhône-Alpes, France -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

1500.0

Posted On

21 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Azure, Cloud infrastructure, Data pipelines, Data modeling, Dashboarding, KPI development, Documentation management, AI assisted development, Data analytics, Stakeholder management, Written communication, Data engineering, Knowledge base management

Industry

Food and Beverage Manufacturing

Description

Company Description Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. Job Description The mission of the Data Engineering Intern is to support the successful of data platform usage analytics and an end-to-end modernization of the knowledge base. By supporting the ingestion of logs, development of data pipelines and creation of visualization, the data engineering intern will help the Data Platform team better understand its critical data products, used in business decisions daily across the company. By working to update the knowledge base, the role will be key in ensuring all users of the data platform have access in a streamlined manner to the most updated documentation to accelerate development time. Specific assignment: Data Engineering & Data Platform The role contributes to the delivery of data pipelines and data products used to understand Data Platform user analytics. The role also contributes to the knowledge base and documentation of the data platform. The intern plays a key role in enabling collaboration between SME’s, IT, and end users’ teams during a critical phase of the modernization of the data platform. Key Responsibilities 1. End user analytics Build data pipelines of user logs. Structure, transform, store and model the data for analytics. Prepare dashboards and KPIs on analytics 2. Knowledge base management Consolidate Data Platform documentation across sources such as Azure DevOps, SharePoint, OneNote and ServiceNow Ensure all documentation is standardized in a single strategic location Work with subject matter experts to update documentation where appropriate 3. Ad Hoc Engineering projects Work with the data engineering head and data platform owners on ad hoc projects based on business priorities Deliverables User analytics data products User analytics data pipelines Updated knowledge base Required Skills & Profile Currently studying Engineering, Computer Science or a technical field Strong Python and SQL skills Familiarity with Azure and cloud infrastructure strongly preferred. Exposure to AI assisted development Organized, structured, detail‑oriented Comfortable working with multiple stakeholders Good written communication skills (English required) Interest in Analytics, Data Science and trading. Qualifications Expected skills Currently studying Engineering, Computer Science, or a technical field Strong Python and SQL skills. Familiarity with Azure and cloud infrastructure strongly preferred. Exposure to AI assisted development Organized, structured, detail‑oriented Comfortable working with multiple stakeholders Good written communication skills (English required) Interest in Analytics, Data Science and trading. Profile: BAC+5 (engineering school or equivalent) Learning objectives Exposure to the data platform, a mission critical service allowing thousands of users to make data driven business decisions. Understanding how modern data pipelines are developed and run. Direct exposure to AI tools to accelerate development Develop coordination, communication, change Management and governance skills within a cross‑functional project environment. Additional Information Internship Details Duration: 5 months Location: on-site What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. Our Benefits Competitive salary and benefits Flexible working Access to Training and Development Discretionary Bonus Profit Sharing plan Lunch vouchers Public transportation refund Workers council social benefits Legal annual paid leave + up tp 14 days RTT Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us Years of Work Experience: 0 - 3 Compensation: EUR 1500 - EUR 1500 - monthly

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Responsibilities

The intern will build and maintain data pipelines for user analytics and manage the modernization of the platform's knowledge base. They will also collaborate with subject matter experts and IT teams to support data-driven business decisions.