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Louis Dreyfus Company is a world leader in the processing of agricultural products and the merchandising of a diverse range of commodities. Founded and based in Europe, Louis Dreyfus Company enjoys strong regional presence in North and South America, Europe, Asia, the Middle East and Africa.
Louis Dreyfus Company operates with the drive of a young organization, tempered and fueled by over 165 years of experience and expansion in the field of agricultural commodities. Today, with offices in more than 55 countries and approximately 18,000 employees, the Group stands strong, pragmatic and diversified, guided by a multi-cultural management staff devoted to its aims and to its unique business model.
Supporting LDC’s global merchandizing activities, our Freight Platform has grown to become a globally significant chartering entity in the dry bulk market. We are increasingly integrating enhanced digital capabilities throughout our freight business, from strategic decision-making to execution. As the shipping industry transitions toward greater digitization, we continue to build up our satellite tracking experience and collaborate on new integrated data innovations to stay at the cutting-edge of this ongoing revolution.
LDC is looking for a Data Engineer to join the Freight Research platform activities and our growing team of data analytics experts, supporting innovative solutions whose impact is transforming our business.
As a data engineer, you will provide the data to enable faster, better, data-informed decision-making within the business.
This is an innovative position, bridging the gap between the business unit research activities and the central data engineering team. You will work with a vast array of big and small datasets, from weather forecasts to satellite images, from macroeconomic news feed to market data, from public data to highly sensitive, proprietary information. You closely collaborate with the Freight platform’s data scientists and analysts, supporting the trading activities with high quality information, making sure the right data is consistently available at the right time, implementing the data and analytics best practices and contributing to their definition as our needs evolve. You strive for excellence in the technological setup in closecollaboration with the Data & Analytics team, to provide automated, high-quality, real-time indicators, so that data analysts and data scientists can answer business questions directly with confidence.
Duties & Responsibilities:
What Hard Skills will make you successful:
Experience with any of the following will be considered a plus:
What Soft Skills will make you successful:
Why you should apply for this role: