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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.

Job Description

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:

• Retrieve, clean, model, transform and maintain data from many sources to better understand the factors influencing Freight trading
• Leverage our analytics and data science platform to its full potential to ensure clean, maintainable, predictable results
• Performs ad-hoc analysis of data to choose the best possible data sources
• Troubleshoot and solve data issues
• Ensure data availability, quality, and timeliness by designing performant pipelines and proactive monitoring
• Provide technical support and guidance to Freight data scientists and researchers
• Act as data steward with Freight researchers, traders and operations to help them find and leverage the best data sets for their use case

What Hard Skills will make you successful:

• +3 years’ experience in Data engineering and/or data science: data modelling, data transformation pipelines, ETL, data management
• +2 years’ experience with a data-oriented programming language, preferably Python, including data manipulation and visualization packages (e.g. Pandas, Numpy, Plotly…).
• Strong proficiency in SQL. Performance optimisation for big, complex data sets. Hands on experience with data storage solutions and their application (SQL, noSQL, data lakes).
• Data mining principles: data collection, wrangling and quality checks using multiple data systems, both on premises and cloud-based
• Experience with collaborative software development best practices: source control strategies (git), peer reviews

Experience with any of the following will be considered a plus:

• visualization tools (PowerBI, Dash apps, other dashboard creation solutions)
• handling big datasets (e.g. geospatial data), exposure to big data techniques like Spark
• Agile development and DevOps tools: CI / CD pipelines, testing and monitoring best practices.
• Support for business-critical data transformation and applications via monitoring and alerting, and contributing to the solution of critical incidents under time pressure

What Soft Skills will make you successful:

• Excellent communication, collaboration and engagement skills
• Flexibility and sense of adaptability in a quick paced, constantly evolving context
• Critical thinking, inclination to make improvements, find new ideas and challenge the status quo
• Passionate about improving data literacy and spreading best practices
• Ability to perform under pressure, prioritize and escalate
• Strong problem solving, quantitative and analytical abilities
• Quick learner with the ability to work independently and with little prompting
• Fluent in English
• Experience in the commodities sector is considered as a plus

Education:

• A Bachelor, Master or PhD degree in Computer Science, Business/Management Information Systems, Computer/Systems/Industrial Engineering, Business Analytics, Data Science, Operations Research or Statistics. Other backgrounds will be considered with relevant work experience.

Why you should apply for this role:

• You will work in the Freight platform, one of the most dynamic and innovative business units with a strong team of data scientists
• You will become an expert of the latest cutting-edge technologies in the Analytics domains leveraging Microsoft Azure Platform, working in collaboration with a team of technology and data science experts and accessing high quality training and development opportunities
• You will see the impact of your role in transforming the business