Data Engineer, Wheat

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 17,000 people globally.

LDC is looking for a Data Engineer to join the Global Digital Transformation and Analytics (DT & A) team of data engineering 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 our business. You will be working with the Grains and Oilseeds platform, focusing on the Wheat product line, collaborating with a team of Data scientists, strategists, traders and business experts on the Grains and Oilseeds side, and with a network of technology, data, cloud experts on the Digital transformation & Analytics side.

You will focus on creating high performant, easy to maintain, state of the art data pipelines, bringing data from source to insight. You will use the latest technology and you will see the impact of your work in transforming our business.    

Duties & Responsibilities:

• Ensure data availability, quality, and timeliness by designing and implementing performant pipelines and proactive monitoring. Ideate meaningful tests and monitoring to be proactively informed in case of data problems and to minimize regressions.
• Create and maintain high quality, well documented code and data transformations to feed models and insights reliably.
• Act as data steward with researchers, traders and operations to help them leverage the best data sets for their use case and the most relevant best practices to ensure data is always available
• Retrieve, clean, model, transform and maintain data from many sources to better understand the factors influencing wheat global and local flows and prices
• Troubleshoot and solve data issues from data ingestion to display in dashboards and reports
• Provide technical support and guidance to data scientists and researchers

• 3-5 years of experience in technical, hands on roles
• 2+ years' experience in data manipulation in SQL: DB design, data modelling, data transformation pipelines, ETL, data management
• 2+ years’ experience with Python, including data manipulation and visualization packages (e.g., Pandas, Numpy, Plotly…)
• Experience with data visualisation tools and technologies like PowerBI, Tableau, Looker.
• Data mining principles: data collection, wrangling and quality checks using multiple data systems
• Experience working with cloud technologies like Azure, AWS or GCP
• Experience with any of the following will be considered a plus:
  • Hands on experience with data storage solutions and their application: SQL, NoSQL, data lakes
  • Principles of modern full stack development and exposure to Python frameworks like Dash or Flask, familiarity with APIs
  • 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:

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

Education:

• A Bachelor or Master 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 be working in a very concrete line of business whose impact literally feeds the world. You will get a unique point of view on major data flows of commodities around the world, including the impact of climate change and major geo political events, the importance of sustainability and regenerative agriculture.
• You will become an expert of the latest cutting-edge technologies in Data Engineering, 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 our business

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.

We offer

• Competitive salary and benefits

• Flexible working

• Access to Training and Development 

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion.

LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.

Sustainability

Sustainable value is at the heart of our purpose as a company.

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us