Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.

Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were $331bn.

Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.

Collaborate directly with business support and accounting teams to build and support market-focused analytical tools. Analyse ongoing business and user requirements and independently manage various project lifecycles from end-to-end.

Modernize the automation landscape within the team by migrating existing workflows. Implementation of clean, well-documented, tested, and extensible code to satisfy those requirements. Turn user feedback into actionable design improvements and bug fixes. Suggest innovative and reliable technical solutions to the business. Help upskill the desk regarding coding best-practices and ensure mission-critical scripts are adequately productionized.

• Bachelor’s degree or foreign equivalent in Data Science or a related field and 2 years of experience in data engineering. OR Master's degree or foreign equivalent in Data Science or a related field and 1 year of experience in data engineering.
• 2 years of experience (with Bachelor’s) or 1 year of experience (with Master’s) to include:
  • Full stack Python development;
  • Python libraries for full stack development including Fast API, Plotly Dash, Streamlit, SQLModel & Pydantic
  • Relational SQL databases
  • Writing SQL queries
  • React, HTML5, or JavaScript
  • TensorFlow, PyTorch, Spark, Hadoop, scikit-learn, PowerBI, Tableau, or Selenium
  • Designing and implementing data pipelines to automate data collection and analytics;
  • Building machine learning models to predict commodity pricing using regression and time series analysis.

Comprehensive benefit coverage includes:

• Medical
• Dental
• Vision
• Paid Vacation
• 401k with company contributions
• Life insurance
• Short-term & Long-term disability

All your information will be kept confidential according to EEO guidelines.