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Data Engineer / Machine Learning Engineer – Climate Tech – Python

About Climatiq:

We are a climate tech startup on a mission to drive climate action through data and insight. Our team of entrepreneurs, technologists, and scientists, who joined us from Google, MIT, PIK Potsdam and other backgrounds are building a tech platform to empower organisations to take action in tackling the climate crisis. We are building an open-data solution for developers to automatically measure greenhouse gas emissions and consequently act upon robust data and insight. Our flexible tracking API can be integrated into software that businesses already use to accurately calculate and continuously monitor greenhouse gas emissions.

We’re based in Berlin and backed by renowned VCs and advisors in the climate-tech and software sector.

This is an amazing time to join Climatiq. Be part of real, technology-driven endeavour from the beginning. Work with an amazing team and help build something meaningful together with our community.

Job Description:

We are looking for a Data Engineer (Remote CET timezone) with a focus on data architecture, infrastructure and automation. Reporting to the CTO and working across both our Development and Science and Data teams, you are passionate about building a scalable data infrastructure which is at the heart of our mission to tackle the climate crisis. We are looking for self-driven engineers who bring fresh ideas and are able to develop a product autonomously in a collaborative environment.

We use the latest technologies, like Rust, Typescript and NextJS applications, and Python for data processing. We prioritise high scalability and development ergonomics and collaborate using GitHub.

Responsibilities:

  • Working across teams, design and optimise the structure and infrastructure of Climatiq’s data
  • Automation and optimisation of internal and external data workflows, including data ingress, reviews and updates
  • Implement machine learning models based on activity and emission factor data, with a focus on NLP, semantic processing and classification mapping.

Qualifications:

  • Proficiency with Python (especially numpy, pandas, Jupyter notebooks) for data processing
  • Experience with implementation of machine learning algorithms and building models using NLP, semantic processing and classification mapping.
  • Attention to detail, the ability to work in teams and collaborate.

Preferred Qualifications:

  • Proficiency in maintaining complex data sets and data processing applications
  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
  • Experience releasing or contributing to Open Source projects

If you don’t tick all the boxes but you are passionate about what we are building, we still want to hear from you.

Additional Information:

  • Location: Berlin or Remote within +/- 2 hours of CET timezone
  • Starting date: as soon as possible
  • Hours: full-time, flexible working hours

Climatiq is an equal opportunity employer and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Send us your CV and a short cover letter, highlighting your skills and experience, relevant for the role.

Climatiq is a mission-driven startup based in Berlin. Our software helps businesses understand how and where they generate carbon emissions, and makes it easy to initiate effective change. Our flexible tracking API can be integrated into software that businesses already use to accurately measure and continuously monitor greenhouse gas emissions. Supported by meaningful data, organizations can then use the Climatiq marketplace to reduce their carbon emissions and offset the rest through high-impact projects.