Data Engineer - Cargo Monitoring

About

We are DNEXT, commodity agriculture experts. We provide consultancy to a variety of firms involved from the production stage all the way to the consumers and across multiple geographies. We provide our customers with a market intelligence platform hosting the full-scope of datasets related to agriculture commodities. Our aim is to bring more transparency to the agricultural supply chain for the benefit of the different market stakeholders.

We are looking for a Data Engineer to design and lead added-value business applications.

Responsibilities

You will set up cutting-edge solutions for innovative projects needing strong skills in data engineering, freight, trade Flows, machine learning, and finance, in the context of a large volume of data.

You will:

• Set up an automated infrastructure based on AIS and satellite data to monitor vessels in different ports on a global scale.
• Develop algorithms to validate, correct and reconcile lineups data
• Develop business applications based on AIS and lineups data for cargo monitoring
• Solution integration within a data platform
• Create a model to predict cargo destinations

Qualifications

• Master’s degree in data science/computer science from EPFL, HES-SO or equivalent
• First experience in agricultural commodities area (wheat, corn and vegoils)
• Good knowledge of AIS systems (i.e. Kpler) and satellite imaging
• High proficiency in Python for software development
• Experience with workflow orchestration tools like Dagster
• Good knowledge of machine learning and deep learning libraries (Scikit-learn, PyTorch, Tensorflow, Keras…)
• Experience with AWS cloud services (EC2, S3, Lambda, RDS)
• Knowledge of financial markets
• Expertise with version control systems: GIT
• Ability for teamwork, and capacity to handle short timelines
• Fluency in English and French (oral and written): meetings with clients and internal meetings are mostly in English.

Compensation

Pay: CHF80’000.00 - CHF90’000.00 per year

Work Location

In person