WHO WE ARE

Echion is a world-leading battery technology developer based in Sawston, near Cambridge. We have developed advanced materials enabling the next-generation superfast charging batteries. This enables a fundamental rethink of how products are designed and used, from industrial e-mobility applications, consumer electronics, and more. Ultimately our work aims to accelerate the clean energy transition and decarbonisation of the transportation sector.
It’s a fantastic time to join Echion. The company is now successfully trading with its flagship XNO® product. We have big commercial ambitions and a super exciting roadmap of new products to develop. We’re looking for like-minded people to be part of our journey towards a successful future. Learn more at www.echiontech.com.

JOB SUMMARY

We are looking for a Data Engineer to join as the second hire in our expanding data team. In this role, you’ll be instrumental in building and maintaining the infrastructure required to manage our extensive and varied data streams. Working with the Data Lead, you will focus on developing data systems that allow for smooth and efficient data access, supporting both short-term requests and long-term data initiatives. This role provides an exciting opportunity to contribute directly to Echion’s mission by developing new data pipelines and supporting analytical work that drives product innovation. As the second hire, you will have the opportunity to lead and collaborate on exciting greenfield projects and put forward your own ideas. This role has significant potential for professional growth opportunities, and we are committed to supporting your growth through mentorship, collaboration, and learning opportunities as appropriate.

EDUCATION & QUALIFICATIONS REQUIRED

· Degree in Computer Science, Physical Sciences, Engineering, or a related field is desirable (applications from MPhil/PhD graduates are welcomed).

EXPERIENCE REQUIRED

· 2 years of professional experience is desirable, though entry-level candidates with a strong foundation in data engineering and a willingness to learn and grow within the company are also encouraged to apply.

SKILLS & KNOWLEDGE REQUIRED

· Python fluency is required.
· Experience with a modern data stack is desirable (we use GCP, Dagster, Snowflake, and Metabase).
· Familiarity with scientific analysis methods and machine learning techniques for data science applications is desirable.

The projects below are examples of additional opportunities that the successful candidate would be able to work on. Expertise in all these areas is not expected, but experience in one or more would be beneficial.

• Assist in creating dashboards, reports, and data visualisations to provide insights that inform science and business decisions.
• Develop image analysis capabilities and work with data science tools to extract more sophisticated insights from electrochemical and other technical data.
• Apply statistical and machine learning techniques to refine data analysis processes and enhance battery performance prediction accuracy.
• Build out Echion’s battery simulation capabilities making use of our historical data

KEY RESPONSIBILITIES

· Design, build, and maintain robust data pipelines to collect, clean, and store lab metadata, electrochemical experiment results, and other data types, ensuring accessibility and integrity across the company.
· Develop scalable database solutions to support Echion’s scientific and business requirements.
· Collaborate with other departments to identify and implement systems that streamline data handling and improve data accessibility.
· Use in-house analytical tools for electrochemical data to support specific projects and business needs, ensuring data outputs are actionable and user-friendly.

The projects below are examples of additional opportunities that the successful candidate would be able to work on. Expertise in all these areas is not expected, but experience in one or more would be beneficial.

• Assist in creating dashboards, reports, and data visualisations to provide insights that inform science and business decisions.
• Develop image analysis capabilities and work with data science tools to extract more sophisticated insights from electrochemical and other technical data.
• Apply statistical and machine learning techniques to refine data analysis processes and enhance battery performance prediction accuracy.
• Build out Echion’s battery simulation capabilities making use of our historical data.

SUCCESS FACTORS FOR THE ROLE

· Ability to support colleagues across teams
· Strong problem-solving skills
· Ability to work independently in a startup environment
· Eagerness to develop new skills
· Flexibility to work across engineer/scientist/analyst roles