Tesla

Makes electric cars, robotaxis and grid batteries

Senior Data Engineer / Trading Engineer - Autobidder

Data EngineeringPosted on Nov 10

Full-timeNo salary listed

About the Job

Requirements

A Bachelor's or Master's degree in Science, Engineering, Math, or a related field, or equivalent experience.
At least 5 years of work experience in data engineering or software engineering, partnering with analysts and/or data scientists to drive decision-making and deliver actionable insights.
Proficiency in Python and SQL, with practical experience in production environments.
Analytical skills to extract insights, make decisions in uncertain scenarios, and communicate technical results to diverse audiences.
A collaborative mindset, a creative approach to problem-solving, and a drive for team success.

Responsibilities

Support the development of Python-based analytical, reporting, and monitoring tools, including building and maintaining scalable data pipelines, addressing data quality challenges, and ensuring high data availability for analytical purposes.
Collaborate with machine learning, optimization, and software teams to deliver fundamental analysis and expertise that enhance competitive performance in algorithmic electricity market trading.
Participate in on-call rotations to support Autobidder market operations, take ownership of fleet performance, and conduct analysis to identify opportunities for algorithmic development.
Drive long-term initiatives to improve the overall technology stack, focusing on scalability, efficiency, and performance.
Lead discussions with internal teams, customers, and external organizations to communicate fleet performance and operational insights.

Desired Qualifications

Understanding of European electricity markets, 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.

Category	Energy - Solar & Storage
Location	London, England
Requisition ID	289452
Type	Full-time

Job Description

*This role can be based out of Amsterdam, London or Madrid*Are you passionate about revolutionizing energy systems? Join the Autobidder Operations team as a Data / Trading Engineer and play a key role in advancing automated trading and asset optimization in the electricity markets. Autobidder manages the world’s largest fleet of battery storage assets, from utility-scale batteries to virtual power plants, driving innovation in renewable energy. As a Trading Engineer, you’ll leverage your experience in software engineering or data engineering to enhance reporting, performance attribution and operational monitoring. Your solutions will enable proactive management of trading strategies and asset performance, directly influencing the success of energy assets and accelerating the transition to sustainable energy systems. You’ll contribute to Tesla’s mission by optimizing battery revenues and advancing renewable power integration. With a passion for building and automating tools that deliver tangible results, a bias for action, and a collaborative mindset, you’ll thrive in our fast-paced team environment.

Job Responsibilities

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 performance and operational insights

Job Requirements

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
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, additional skills

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.

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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