Publiée le 17 juin
Mission du poste
Working as a data engineer in a forward-thinking energy technology company where you will develop scalable data platforms, engineering solutions, and analytics capabilities that drive operational efficiency, enhance energy performance, and support the transition to a more sustainable energy future.
Design, develop, and maintain scalable data pipelines for ingesting, processing, and transforming smart meter, IoT, sensor, operational, weather, market, and time-series energy datasets.
• Build and optimize ETL/ELT workflows to ensure reliable, high-quality data is available for analytics, machine learning, forecasting, and operational decision-making.
• Develop cloud-based data architectures and storage solutions that support large-scale energy data processing and analytics workloads.
• Implement data preprocessing, feature engineering, and data quality frameworks to support predictive maintenance, energy demand forecasting, renewable energy optimization, and anomaly detection initiatives.
• Design and maintain data models, data warehouses, and analytics datasets to improve accessibility, performance, and scalability.
2–5+ years of experience in Data Engineering, Analytics Engineering, Data Platforms, or a related field.
• Strong programming skills in Python and experience with data processing libraries such as Pandas, NumPy, and PySpark.
• Strong SQL skills and experience working with large-scale datasets and data warehousing solutions.
• Experience building and maintaining ETL/ELT pipelines and modern data architectures.
• Knowledge of time-series data processing, IoT data, sensor data, or industrial datasets.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with data orchestration and workflow management tools such as Airflow, Azure Data Factory, Prefect, or similar.
Opportunity to build the data infrastructure powering innovative solutions that accelerate the energy transition and support sustainability goals.
• Strong emphasis on technical development, cloud technologies, data engineering best practices, and modern analytics platforms.
• Clear pathways for progression into Senior Data Engineer, Lead Data Engineer, Data Architect, or Data Platform Leadership positions.
• Collaborative and mission-driven team focused on building the next generation of sustainable energy solutions.
