Data Engineer, Data & Analytics

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, LDC is active in over 100 countries and employs approximately 18,000 people globally.

LDC is seeking a talented Data Engineer to join our expanding team of Data Analytics and AI. 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.

This position is not eligible for sponsorship.

• 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
• Schedule and automate workflows, enhancing operational efficiency and accuracy
• Collaborate in the development and maintenance of cloud‑based infrastructure, applying best practices in Dev Ops to ensure high data availability and scalability
• Work closely with data scientists, quantitative researchers, and trading teams to understand their data needs, providing technical solutions that enable effective data analysis and strategy implementation
• Ensure code quality and maintainability by implementing strong CI/CD practices, code versioning, automated tests, and conducting thorough peer reviews
• Stay current with emerging trends and advancements in software development, data engineering, and cloud technologies, integrating new tools and techniques where beneficial
• Expertise in handling and optimizing relational databases to support analytical applications
• Ensure data quality, governance, and compliance through automated testing and monitoring frameworks

• Design and implement dimensional data models, star schemas, and semantic layers optimized for analytics and reporting
• Create and maintain data models and data transformation logic using SQL and Python
• Develop automated, high‑quality indicators and KPIs from diverse data sources
• Perform exploratory data analysis to uncover patterns and support business intelligence initiatives
• Collaborate with data scientists to product ionize machine learning models and AI solutions

• 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, Num Py, 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 Data Ops, CI/CD pipelines, version control (Git), and infrastructure as code

• Experience with distributed computing frameworks (Databricks, Apache Spark)
• Understanding of commodities trading, supply chain analytics, or agricultural industry domains

Bachelor's or, Master's degree in Computer Science, Data Engineering, Computer/Systems Engineering, Data Science, Statistics, Mathematics, or related quantitative field. Candidates with equivalent professional experience and demonstrated technical expertise will be considered.

• Comprehensive benefits program including medical, dental and vision care coverage, flexible…