Energy Trading Data Analyst Intern - AI & Dashboards Hybrid

Tamarind Intelligence; Madrid; Híbrido; EUR 7800 - 12.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Hybrid work

Training plans

Corporate benefits

e-Plan

Descripción de la vacante

ENGIE España is seeking a Junior Data Analyst Intern to architect, build, and evolve our operational data perimeter supporting Energy Trading activities. You will transform raw data into reliable insights using cloud-native data engineering, analytics, and AI-driven solutions.

You will work with traders and data scientists to identify and backtest trading strategies, develop forecasting models, and implement data tooling in a real-world energy market environment.

Formación

• Bachelor's degree or equivalent in a relevant field.
• Analytical mindset with attention to detail and curiosity for data, markets and technology.
• Clear communication and teamwork abilities.
• English language at B2 level or higher.
• Familiarity with AWS, SageMaker, S3, Python, SQL, and Power BI is a plus.

Responsabilidades

• Design and enhance dashboards for operational and strategic use.
• Structure and document data pipelines and datasets.
• Monitor and improve data quality through validation checks.
• Contribute to AI and advanced analytics initiatives, including forecasting models.
• Collaborate with traders, quants, and data teams to develop new methodologies.

Conocimientos

Analytical

Detail-oriented

Curious about data

Strong communication

Teamwork

English (B2)

Educación

Bachelor's degree

Herramientas

AWS

SageMaker

S3

Python

SQL

Power BI

Descripción del empleo

ENGIE España is seeking a Junior Data Analyst Intern to architect, build, and evolve our operational data perimeter supporting Energy Trading activities. You will transform raw data into reliable insights using cloud-native data engineering, analytics, and AI-driven solutions.

You will work with traders and data scientists to identify and backtest trading strategies, develop forecasting models, and implement data tooling in a real-world energy market environment.