Data Engineer, Remote Sensing
Company Description
| Company Description |
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 a 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 170 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.
Job Description
| Job Description |
LDC is seeking a skilled Data Engineer to join our dynamic Global Data Science team at LDC. In this critical role, you will leverage your expertise in Python programming, ETL processes, and cloud-based DevOps to enhance our data infrastructure and software development practices used for Remote sensing data analysis. Your contributions will be key in supporting our data science activities, and overall, our data-driven decision-making processes. Your work will be instrumental in empowering our trading platforms with robust data solutions. You will also face the exciting challenge of structuring complex and large satellite time series data, particularly in the realm of crop monitoring, ensuring our traders are informed by accurate, high-quality and near-real-time data.
Main responsibilities:
- Develop, maintain, and optimize ETL pipelines, specifically tailored to meet the data requirements of our systematic trading activities, with a focus on building robust data solutions that empower profitable trading algorithms.
- Responsible of structuring complex and large financial time series data (e.g. Futures contracts), ensuring that our trading strategies are backed by accurate and high-quality data.
- 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 DevOps 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.
- Play a key role in MLOps initiatives, facilitating seamless integration of machine learning models into production environments.
- Provide technical support and troubleshooting for the new systematic trading framework, ensuring timely and effective resolution.
Experience
| Experience |
- BSc or MSc in Computer Science, Engineering, Information Systems, or a related field.
- 3+ years of professional experience in data engineering and software development.
- Proficiency in Python programming and experience with software development best practices.
- Solid knowledge of ETL processes and familiarity with data modeling and warehousing.
- Experience with Jenkins or similar scheduling tools, and strong understanding of CI/CD principles.
- Hands-on experience with cloud technologies and services, preferably in Azure.
- Hands-on experience with GIS data, knowledge of Google Earth Engine API is a plus.
- Familiarity with MLOps principles and practices is advantageous.
- Strong problem-solver, attention to detail, and ability to work independently and collaboratively.
- Excellent communication skills, fluent in English, and strong at collaborating across diverse teams.
- Previous experience in data science service, particularly in agricultural commodities sectors, is highly desirable.
- Fluent in English
Additional Information
| Additional Information |
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
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 a 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 170 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.
LDC is seeking a skilled Data Engineer to join our dynamic Global Data Science team at LDC. In this critical role, you will leverage your expertise in Python programming, ETL processes, and cloud-based DevOps to enhance our data infrastructure and software development practices used for Remote sensing data analysis. Your contributions will be key in supporting our data science activities, and overall, our data-driven decision-making processes. Your work will be instrumental in empowering our trading platforms with robust data solutions. You will also face the exciting challenge of structuring complex and large satellite time series data, particularly in the realm of crop monitoring, ensuring our traders are informed by accurate, high-quality and near-real-time data.
Main responsibilities:
- Develop, maintain, and optimize ETL pipelines, specifically tailored to meet the data requirements of our systematic trading activities, with a focus on building robust data solutions that empower profitable trading algorithms.
- Responsible of structuring complex and large financial time series data (e.g. Futures contracts), ensuring that our trading strategies are backed by accurate and high-quality data.
- 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 DevOps 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.
- Play a key role in MLOps initiatives, facilitating seamless integration of machine learning models into production environments.
- Provide technical support and troubleshooting for the new systematic trading framework, ensuring timely and effective resolution.
- BSc or MSc in Computer Science, Engineering, Information Systems, or a related field.
- 3+ years of professional experience in data engineering and software development.
- Proficiency in Python programming and experience with software development best practices.
- Solid knowledge of ETL processes and familiarity with data modeling and warehousing.
- Experience with Jenkins or similar scheduling tools, and strong understanding of CI/CD principles.
- Hands-on experience with cloud technologies and services, preferably in Azure.
- Hands-on experience with GIS data, knowledge of Google Earth Engine API is a plus.
- Familiarity with MLOps principles and practices is advantageous.
- Strong problem-solver, attention to detail, and ability to work independently and collaboratively.
- Excellent communication skills, fluent in English, and strong at collaborating across diverse teams.
- Previous experience in data science service, particularly in agricultural commodities sectors, is highly desirable.
- Fluent in English
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