Data Engineer, Data & Analytics

2+ years of experience in data engineering roles with focus on data modeling, pipeline development, ETL/ELT, and analytics platform management

Expert-level proficiency in SQL for complex queries, optimization, and performance tuning

1+ years of hands-on experience with Python for data engineering, including libraries such as Pandas, NumPy, PySpark, and data visualization tools (Plotly, Matplotlib)

Proficiency with modern cloud data platforms (Azure preferred, AWS or GCP acceptable)

Experience with data orchestration tools (Azure Data Factory preferred, Airflow, Prefect, Dagster)

Understanding of DataOps, CI/CD pipelines, version control (Git), and infrastructure as code

Additional Information for the job

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.

- Comprehensive benefits program including medical, dental and vision care coverage, flexible spending account plans, employee assistance program, life insurance and disability coverage

- 401k with Company Match

- Family Friendly Benefits including childbirth and parental leave, fertility and family building benefits

In this role, you'll architect and implement innovative data solutions that directly impact business decision-making and operational efficiency.

As a data engineer at LDC, you'll work at the forefront of agricultural technology, building scalable data pipelines and AI-powered analytics solutions. You'll collaborate with diverse datasets—from satellite imagery and weather forecasts to market data and proprietary trading information—transforming raw data into actionable intelligence that powers our business.

Data Engineering & Infrastructure

Design, build, and maintain scalable data pipelines and ETL/ELT workflows using modern cloud-native architectures

Design and implement robust software solutions in Python, focusing on scalability, performance, and reliability.

Collaborate in the development and maintenance of cloud-based infrastructure, applying best practices in DevOps to ensure high data availability and scalability.

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.