Our Client Currently looking for Energy Data Engineer

Tasks

• Analyze energy data, including production, consumption, and storage information to identify optimization opportunities
• Conduct AI-based market analysis and contribute to the development of price and energy forecasts
• Analyze asset data, project progress and operational, environmental as well as financial performance
• Perform trend, variance and gap analysis, translating findings into actionable recommendations
• Validate data quality and perform plausibility checks to continuously improve analytical outputs
• Develop and maintain a central data and reporting infrastructure in close collaboration with IT teams
• Create KPI reports, dashboards, and data visualizations for internal and external stakeholders
• Collaborate closely with management, operations, sales, and country organizations to support data-driven decision-making

Requirements

• Completed degree in Data Science, Mathematics, Statistics, Business Informatics, Physics, Industrial Engineering or a related field.
• 2–4 years of experience as a Data Analyst, ideally within an energy sector
• Proven experience in designing and building purpose-driven analytical environments
• Experienced in building data pipelines, including data extraction, validation, transformation and loading
• Practical experience working with modern cloud data infrastructures such as BigQuery, Snowflake, Redshift, or Databricks
• Ideally, experience applying and training AI models and machine learning algorithms
• High level of proficiency in SQL and solid experience with Python, R, MATLAB or comparable programming languages

• Are you interested in this position?

   

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