Louis Dreyfus Company

Data Engineer for Freight Platform

Job description

Summary


LDC is looking for a Data Engineer to join the Freight Research platform activities and our growing team of data analytics experts, 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 fundamental analysts. You strive for excellence in the technological setup in close collaboration 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.


Main


Responsibilities


Along with the below listed responsibilities, the employee should conduct any other business related to the function as required by her or his supervisor.



  • Ideate and implement standard tools and patterns to be used by the whole team to promote effective data management and democratize access to data
  • Ensure data availability, quality, and timeliness by designing performant pipelines and proactive monitoring
  • Leverage our analytics and data science platform to its full potential to ensure clean, maintainable, predictable results
  • Provide technical support and guidance to Freight data scientists and researchers


Experiences


5 years’ experience in the technology field, as a software or data engineer. Experience in building reusable tools and packages


+3 years’ experience in data manipulation: DB design, data modelling, data transformation pipelines, ETL, data management


Strong proficiency in SQL. Performance optimization for big, complex data sets. Hands on experience with data storage solutions and their application (SQL, noSQL, data lakes).


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


Skills



  • 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


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


Required Languages



  • English (Fluent)


Required 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.

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