Data Engineer

Description

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Team / department

Energy Analytics - This is a Front Office role on the Gas Trading Desk, working directly with traders and analysts

Position purpose

Development and maintenance of the Gas Analytics forecasting models and data systems

Main responsibilities

Development and maintenance of the forecasting models and data systems Coming up with creative ways to accurately forecast phenomena of interest Continuously monitor and adjust models to maximize predictive power Development of desk Python libraries Work together with analysts and traders to understand stakeholders' needs when designing solutions Analyse data to support quantitative decision-making Development and maintenance of webpages summarizing analytics for effective decision-making Apply CI/CD best practices and ensure DevOps style management and operation of DEV/UAT/PROD deployment environments

Required Skills and Experience (1-3 years)

Experience working on shared codebase, debugging and improving existing code Experience in building and maintaining forecasting models, managing entire model lifecycle Experience in the sourcing, cleaning and storing of data from multiple sources Experience with data analysis and visualisation Ability to work independently and switch between different contexts/tasks Some experience of working in the energy market or prior exposure to a trading environment would be beneficial

Technical Requirements

STEM degree Excellent Python skills Statistics knowledge SQL and basic understanding of databases Basic Git knowledge for collaborative coding

Person Specification

Interest in becoming autonomous quickly Rigorous and structured approach Detail-oriented and quality-conscious Possess a collaborative mindset Ability of working in a fast-paced environment Strong communication skills