Trafigura

Trafigura

Data Engineer

Houston, United States of America

Sponsorship not specifiedDetected 30 days ago
PythonGitSQLNoSQLAWSGCPAzureDockerKubernetesTerraformGrafanaData EngineeringData ScienceLogisticsRenewable Energy

About the role

  • And we work with our stakeholders to improve environmental and social standards, bringing greater trust and transparency to global supply chains.
  • Working within the Data Science and Engineering team, this role ensures that critical data flows reliably and on time across internal and external systems, directly enabling commercial decision-making and process automation.

Responsibilities

  • Design, build, and maintain time-critical data integration pipelines (ETL/ELT) across a range of internal and external data sources.
  • Develop and maintain data models appropriate to the variety of datasets flowing through the integration layer.
  • Implement and manage cloud-based data integration solutions on AWS, leveraging services such as S3, Glue, Lambda, and Redshift.
  • Develop a solid understanding of the desk's data landscape and commercial requirements in order to deliver integration solutions that meet business needs.

Requirements

  • Minimum 3 years' experience in Python and SQL, with a focus on data integration or pipeline development, including experience with relational databases and data modelling.
  • Hands-on experience with cloud data services (e.g. AWS, Azure, or GCP), containerisation (e.g. Docker, Kubernetes), and Infrastructure as Code (e.g. Terraform, CloudFormation).
  • Experience monitoring, observing, and debugging data pipelines, including the use of logging, alerting, and observability tooling (e.g. CloudWatch, Grafana).
  • Bachelor's degree in Computer Science, Data Science, or a related STEM field.

Nice to have

  • AWS certifications (e.g. AWS Certified Data Engineer, Solutions Architect).
  • Experience with NoSQL databases.
  • Familiarity with streaming or event-driven data integration patterns.
  • Prior exposure to Gas and/or Power trading environments.
  • Attributes for success
  • Detail-oriented with a strong sense of ownership over data quality and pipeline reliability.
  • Clear communicator, able to engage both technical and commercial stakeholders.
  • Comfortable working under pressure in a time-sensitive trading environment.
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This listing is sourced directly from Trafigura's careers page and normalized into a canonical job model.