<div><div>About Climatiq We are a fast-growing climate tech startup on a mission to drive climate action through data and insight. Our team consists of entrepreneurs, technologists, and scientists who have come from backgrounds such as Google, MIT, and other leading companies and academic institutions. Together, we are building a tech platform that empowers organizations to take action in tackling the climate crisis. Our powerful carbon calculation engine helps businesses embed emission metrics into any software they already use to accurately calculate and continuously monitor their carbon footprint and drive better decisions. Our platform is used by tens of thousands of sustainability leaders worldwide, and we are proud to be backed by renowned international VCs and investors in the climate-tech and software sector. We are also a certified B Corp, highlighting our commitment to balancing purpose and profit. As a remote-first company, our team is spread out across Berlin and other parts of Europe, with a strong focus on collaboration and innovation. This is an exciting time to join Climatiq. Be part of real, technology-driven endeavor from the beginning. Work with an amazing team and help build something meaningful together with our community. Job DescriptionWe are looking for a Data Engineer with a focus on Data Engineering, Data Pipelines, Data Normalisation and Data Modeling, including Complex Taxonomy Schema Modeling. Reporting to the CTO and working across our Engineering, Science and Data teams, you are passionate about building bleeding edge data processing pipelines which are 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. Responsibilities:<ul><li>Design, develop, and maintain data workflows of data ingestion, processing, normalisation and collaboration pipelines that serve as backbone of our API, that provides the infrastructure for carbon intelligence globally and across industries for all business activities and products.</li><li>Play a key role delivering key data and insights into leading software platforms used by the largest enterprises across the world, powering billions of calculations in critical environments via our API, enhancing carbon visibility and climate action for organizations.</li><li>Source, process, and standardize data collection from multiple source formats (including PDFs) and streamline the process of normalising, adding, and updating data in our GHG emission factor database.</li><li>Develop, maintain and scale our database architecture to enable seamless collaboration and growth via relational database design and ETL pipelines.</li></ul> Required Qualifications:<ul><li>2+ years of experience in Data Engineering, Architecture, Modeling, Data Pipelines, Data Extraction and Processing.</li><li>1+ year of experience in Python, building data pipelines.</li><li>Demonstrated experience in designing, building and maintaining complex relational databases, as well as classification, normalisation and taxonomy modeling around data.</li><li>Self-driven and comfortable working autonomously, with excellent problem-solving skills.</li><li>Strong written and verbal communication skills, with experience collaborating across remote teams, ensuring clear, effective, and aligned outcomes.</li></ul> Preferred qualifications:<ul><li>Experience with statistical analysis or other data analysis techniques is a plus.</li><li>Experience with managing AWS infrastructure is a plus.</li><li>Prior experience with PostgreSQL is a plus, especially in a production environment.</li><li>Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience</li></ul> Additional Information<ul><li>Location: Berlin or Remote within +/- 2 hours of CET timezone </li><li>Starting date: As soon as possible</li><li>Hours: Full-time, flexible working hours</li><li>Compensation: Competitive salary and benefits, including employee stock options, learning and development stipend, regular team offsites, and more</li></ul> As a certified B Corp, 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 advertised role.</div></div>

Enterprises and software companies leverage the Climatiq stack to deliver sustainability features to clients within their existing platform. A range of intelligent API endpoints enables developers to automate carbon emission calculations and map business data against emission factors hosted on Climatiq&rsquo;s database -&nbsp; one of the world&rsquo;s largest repositories of emission factors, covering 300 regions and territories globally across numerous sectors.

Data Engineer - Climate Tech - Python

<div><div>About Climatiq We are a fast-growing climate tech startup on a mission to drive climate action through data and insight. Our team consists of entrepreneurs, technologists, and scientists who have come from backgrounds such as Google, MIT, and other leading companies and academic institutions. Together, we are building a tech platform that empowers organizations to take action in tackling the climate crisis. Our powerful carbon calculation engine helps businesses embed emission metrics into any software they already use to accurately calculate and continuously monitor their carbon footprint and drive better decisions. Our platform is used by tens of thousands of sustainability leaders worldwide, and we are proud to be backed by renowned international VCs and investors in the climate-tech and software sector. We are also a certified B Corp, highlighting our commitment to balancing purpose and profit. As a remote-first company, our team is spread out across Berlin and other parts of Europe, with a strong focus on collaboration and innovation. This is an exciting time to join Climatiq. Be part of real, technology-driven endeavor from the beginning. Work with an amazing team and help build something meaningful together with our community. Job DescriptionWe are looking for a Data Engineer with a focus on Data Engineering, Data Pipelines,&nbsp;Data Normalisation and Data Modeling, including Complex Taxonomy Schema Modeling. Reporting to the CTO and working across our Engineering, Science and Data teams, you are passionate about building bleeding edge data processing pipelines which are 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. Responsibilities:<ul><li>Design, develop, and maintain data workflows of data ingestion, processing, normalisation and collaboration pipelines that serve as backbone of our API, that provides the infrastructure for carbon intelligence globally and across industries for all business activities and products.</li><li>Play a key role delivering key data and insights into leading software platforms used by the largest enterprises across the world, powering billions of calculations in critical environments via our API, enhancing carbon visibility and climate action for organizations.</li><li>Source, process, and standardize data collection from multiple source formats (including PDFs) and streamline the process of normalising, adding, and updating data in our GHG emission factor database.</li><li>Develop, maintain and scale our database architecture to enable seamless collaboration and growth via relational database design and ETL pipelines.</li></ul> Required Qualifications:<ul><li>2+ years of experience in Data Engineering, Architecture, Modeling, Data Pipelines, Data Extraction and Processing.</li><li>1+ year of experience in Python, building data pipelines.</li><li>Demonstrated experience in designing, building and maintaining complex relational databases, as well as classification, normalisation and taxonomy modeling around data.</li><li>Self-driven and comfortable working autonomously, with excellent problem-solving skills.</li><li>Strong written and verbal communication skills, with experience collaborating across remote teams, ensuring clear, effective, and aligned outcomes.</li></ul> Preferred qualifications:<ul><li>Experience with statistical analysis or other data analysis techniques is a plus.</li><li>Experience with managing AWS infrastructure is a plus.</li><li>Prior experience with PostgreSQL is a plus, especially in a production environment.</li><li>Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience</li></ul> Additional Information<ul><li>Location: Berlin or Remote within +/- 2 hours of CET timezone </li><li>Starting date: As soon as possible</li><li>Hours: Full-time, flexible working hours</li><li>Compensation: Competitive salary and benefits, including employee stock options, learning and development stipend, regular team offsites, and more</li></ul> As a certified B Corp, 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 advertised role.</div></div>

Data Engineer - Climate Tech - Python

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Climatiq

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