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Hybrid Battery Applications Engineer — Lead Client Engagement

Breathe Battery Technologies

Greater London

Hybrid

GBP 60,000 - 80,000

Full time

Today
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Job summary

A dynamic battery technology company in Greater London is seeking a technical lead to join the Battery Application team. This role involves assessing battery performance, supporting sales in technical scoping, and generating detailed documentation. The ideal candidate will have client-facing experience, a strong understanding of battery systems, and proficiency in Python for data analysis. Join a passionate team dedicated to innovation, clean air, and flexible working arrangements.

Benefits

34 days holiday per annum inclusive of Bank Holidays
Flexible/hybrid working arrangement
Share options
Ethical pension scheme
Benefit's platform
Constant supply of office snacks

Qualifications

  • Experience in client-facing roles.
  • Understanding of battery systems, from cell electrochemistry and degradation.
  • Experience with Python for data analysis.
  • Experience with battery management systems is a plus, but not essential.
  • Experience with MATLAB/Simulink is a plus but not essential.
  • Ability to collaborate with other departments in a kind and conscientious manner.

Responsibilities

  • Responsible for assessing battery performance using data and simulation.
  • Supporting sales team in technical scoping and pre-sale client engagement.
  • Gathering performance and integration requirements in commercial projects.
  • Engage with clients to evaluate and meet performance and integration requirements.
  • Generating high-quality technical documents for external reporting.
Job description
A dynamic battery technology company in Greater London is seeking a technical lead to join the Battery Application team. This role involves assessing battery performance, supporting sales in technical scoping, and generating detailed documentation. The ideal candidate will have client-facing experience, a strong understanding of battery systems, and proficiency in Python for data analysis. Join a passionate team dedicated to innovation, clean air, and flexible working arrangements.
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