Experteer Overview In this role, you help advance automated trading and asset optimization within Autobidder. You will build and maintain Python-based analytics, reporting, and monitoring tools to support data-driven decisions in electricity markets. You’ll collaborate with ML, optimization, and software teams to strengthen market analyses and fleet performance. You will participate in on-call rotations to ensure smooth market operations and contribute to scaling the tech stack. This position supports Tesla’s mission by optimizing battery revenues and accelerating renewable energy integration.Compensaciones / Incentivos
- Develop and maintain scalable data pipelines and analytics tooling for reporting and monitoring
- Collaborate with machine learning, optimization, and software teams to deliver fundamental analyses for algorithmic electricity market trading
- Participate in on-call rotations to monitor fleet performance and identify algorithmic improvement opportunities
- Drive long-term initiatives to improve scalability, efficiency, and performance of the tech stack




- Lead discussions with internal teams, customers, and external organizations to communicate fleet insights and operational results
- Address data quality challenges and ensure high data availability for analytical use
- Support reporting and performance attribution to inform asset optimization decisions
- Contribute to proactive trading strategy evaluation and optimization
- Contribute to performance analysis and fleet optimization initiativesResponsabilidades
- Bachelor’s or Master’s degree in Science, Engineering, Math or related field (or equivalent experience)
- 5+ years’ experience in data engineering or software engineering
- Proficiency in Python and SQL with production-level experience
- Strong analytical abilities and the capacity to communicate technical results to diverse audiences
- Collaborative mindset with problem-solving and teamwork focusRequisitos principales
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📌 Sr. Data Engineer / Trading Engineer, Autobidder (Madrid)
🏢 Tesla
📍 Madrid