Main Purpose:

We are seeking an experienced data engineer to join our team and collaborate directly with our data scientists in support of our Metals and Minerals trading and operating teams. The successful candidate will be responsible for building and maintaining time-critical data integration pipelines and designing appropriate data models (both with external and internal data). They will also contribute to the automation of processes on the trading desk and develop web applications, while working closely with stakeholders across business lines and technology. This presents an exciting opportunity to work in a dynamic, fast-paced commercial environment and play a pivotal role in a real-time, data-driven trading ecosystem.

Knowledge Skills and Abilities, Key Responsibilities:

• 5+ years of experience with Python and SQL.
• Proficiency with AWS data stack (S3, Redshift, Glue, Lambda). AWS certifications are a plus.
• Experience building and maintaining time-critical data integration pipelines (ETL/ELT).
• Strong data modelling skills.
• Web application development experience.
• Master's degree in computer science or a related subject.
• Experience with enterprise-scale data systems.
• Experience in a trading environment (physical or paper) is highly desirable.
• Experience in logistics and optimization is a plus.

Key Responsibilities

• Develop and maintain Python and SQL scripts for data extraction, transformation, and loading (ETL/ELT).
• Utilize AWS data stack, including S3, Redshift, Glue, and Lambda, to build and maintain data pipelines.
• Design and implement data models for various internal and external datasets.
• Contribute to the automation of trading desk processes.
• Develop web applications to support trading operations and analytics.
• Acquire a deep understanding of technical projects on the trading desk to better serve commercial needs.
• Collaborate and communicate effectively with stakeholders across different business lines and technology.
   

Competencies:

• Ability to communicate effectively with a diverse set of stakeholders across business lines and technology
• Understanding and experience implementing software and data engineering best practices
• Ability to solve problems under pressure
• Ability to effectively prioritise tasks of high importance

Key Relationships and Department Overview:

Key Relationships and Department Overview

• The Data Science and Engineering team at Trafigura conducts research, develops advanced analytics solutions, and delivers data services to support the trading business and various commercial operations.
• Trafigura's Metals and Minerals teams handle both physical and derivative portfolios, relying heavily on data, analysis, and process automation. They seek a candidate who can gain a deep understanding of their business and ultimately assume responsibility for a range of technical tasks on the desk.
• Day-to-day management will be provided by Traders and Analysts, while the Data Science and Engineering team offers technical guidance and supplementary engineering and analytics support as needed.

Equal Opportunity Employer

We are an Equal Opportunity Employer and take pride in a diverse workforce. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.