Activités
The Predictive Department provides machine learning signals of significant added value for the various trading desks, aiding in the overall efficiency of the energy transition. It will become the Center of competence for Data science / ML for Gas & Power Trading.
As a Machine Learning – Data Engineer, you will support TotalEnergies' gas and power business expansion by enhancing data capabilities for trading and risk management. You will contribute to data product life cycle serving trends across all commodities traded by TGP, including global gas, electricity, emissions, LNG, Freight, and more.
The role involves working on a significant change program aligned with TotalEnergies’ transition to renewable power.
The ML - Data Engineer will be key in designing, implementing, and maintaining robust data pipelines and cloud architectures to enable advanced analytics and trading strategies. Expertise in AWS, Databricks, DevOps automation, and large-scale data processing is essential.
Your key responsibilities include:
Develop and optimize data pipelines: Build, maintain, and optimize ETL processes using AWS Fargate, Lambda, S3, Mongo, and Databricks for high data quality and availability.
Infrastructure and Cloud Engineering: Design and manage cloud-based data solutions to support analytics and trading operations.
Feature Engineering and Data Processing: Develop datasets and features with ML models and forecasting algorithms.
DevOps & CI/CD Automation: Automate deployment workflows using Terraform and GitHub Actions.
Data Governance & Security: Ensure compliance with data security, quality, and reliability standards.
API Integration: Integrate external data sources via API development and management.
Collaboration & Business Support: Work with business users to align data solutions with trading and optimization needs.
Profil du candidat
Hold a Ph.D. or Master’s degree in Statistics, Computer Science, Data Engineering, or related fields.
6+ years of experience in data engineering, cloud architecture, and DevOps.
Strong expertise in AWS services (Lambda, Fargate, S3), proficiency in Python, Mongo, Spark, and experience with Databricks.
Experience in CI/CD automation using Terraform and GitHub Actions.
Knowledge of API integration and working with structured/unstructured data sources.
Experience with time-series analysis and forecasting is a plus.
Fluent in English; French is an advantage.
Strong problem-solving skills, clear communication, and ability to work collaboratively in cross-functional teams.
Informations supplémentaires
TotalEnergies values diversity, promotes individual development, and offers equal employment opportunities to all candidates.
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