Main Purpose: As a Global Data Engineering Manager you will contribute to build and develop our enterprise data platform and related applications in a complex and demanding trading environment. The role will manage a global data engineering team responsible for the ingestion, management, and provision of market data, commodity related economic data, and commercial data for use by data scientists, traders, research analysts and operators. This presents an outstanding 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: 7 years experience in relevant roles Financial market data ingestion, ETL / ELT pipeline development, data modelling and data provisioning Advanced Python & SQL Data quality management AWS data stack Experience with data related to energy and metals commodities, power generation, weather data or shipping would be a plus Key Responsibilities Management of a global team of data engineers Management and ongoing development of an enterprise data platform built on AWS Development of new data products and services for commercial and operational teams Competencies Ability to lead and mentor an international technical team Outstanding ability to communicate effectively with a diverse set of stakeholders across business lines and technology Ability to work in fast-paced and dynamic environment Strong collaboration and teamwork Ability to tackle problems under pressure Ability to effectively prioritise tasks of high importance Key Relationships and Department Overview: Key Relationships Report to Data Science and Engineering Head of Engineering Work closely with trading technology application teams Work closely with senior data scientists, data engineers, research analysts, and traders in a highly commercial environment Reporting Structure Reporting directly to Data Science and Engineering Head of Engineering Department The Data Science and Engineering team researches, develops and provides advanced analytics and enterprise data services to the trading business and other commercial operations at Trafigura. It is comprised of Data Scientists, Data Engineers and Quantitative Finance experts. It is a commercially driven, front office aligned team, that works in close partnership with the trading desks, global research and enterprise technology. 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.