Senior Data Engineer / Trading Software Engineer, Autobidder
Role details
Job location
Tech stack
Job description
collaborative mindset, you'll thrive in our fast-paced team environment. What You'll Do * Support the development of Python-based analytical, reporting and monitoring tools, involving (but not limited to) building and maintaining scalable data pipelines, addressing data quality challenges and guaranteeing high data availability for analytical purposes. * Collaborate with machine learning, optimization, and software teams to help deliver fundamental analysis and expertise that enhance our competitive edge in algorithmic electricity market trading. * Participate in on-call rotations to support Autobidder market operations. As part of the rotation, take ownership of the fleet performance and conduct analysis to identify opportunities for algorithmic developments. * Drive long-term initiatives to improve the overall tech stack, with a focus on scalability, efficiency, and performance. * Lead discussions with internal teams, customers, and external organizations to communicate fleet
Requirements
performance and operational insights. What You'll Bring * Bachelor's or Master's degree in Science, Engineering, Math or related field (or equivalent experience). * 5+ years' work experience in the field of data engineering/software engineering, partnering with analysts and/or data scientists to drive decision-making and deliver actionable insights. * Proven experience mentoring, coaching, or leading team members. * Proficiency in Python and SQL with practical experience in production environments. * Analytical skills for extracting insights, making decisions in uncertain scenarios, and communicating technical results to diverse audiences. * Collaborative mindset with a creative approach to problem-solving and a drive for team success. Preferred Experience * Understanding of European electricity markets (e.g., UK, France), including market design, trading strategies, and product structures. * Experience in the stationary storage industry, or prior modeling of stationary storage energy market applications. * Familiarity with linear optimization or time-series forecasting methods. Seniority Level * Mid-Senior level Employment Type * Full-time Job Function * Information Technology Industries * Motor Vehicle Manufacturing * Renewable Energy * Semiconductor Manufacturing * Utilities #J-18808-Ljbffr