Environmental Services

Seqana GmbH

11-50

Germany

Join us in the global movement for climate action through data-driven soil carbon sequestration. Soils are the unsung hero in the fight against climate change. With your help we want to uncover and use this secret. As data engineer at Seqana you will acquire and harmonize data on soils to unlock the potential of soil carbon sequestration for climate protection.

**About Seqana:**

Seqana is an EU- and venture-backed start-up building monitoring, reporting and verification (MRV) tools to drive soil carbon sequestration and the transition towards regenerative and climate-preserving agriculture.

One of the most powerful (and underutilized) solutions to climate change is capturing carbon in soils via regenerative agricultural practices. This approach has the potential for several times more climate impact than planting forests, while also providing extensive co-benefits such as erosion mitigation and improved water quality, food security, and biodiversity.

Existing solutions for MRV for the carbon market are one of the main drivers of cost and effort, and often _the_ limiting factor for new project development. At Seqana, we combine satellite imagery, our extensive proprietary library of soil datasets, and machine learning to provide an accurate, cost-effective, and efficient MRV solution for soil organic carbon. Our product enables project developers, large corporations and NGOS with a scalable solution to measure and quantify the impact of their regenerative agricultural practices on soil carbon sequestration, enabling them to report credible CO2 reductions.

## Tasks

Our growing team is looking for an ambitious and driven data engineer to help us quantify soil organic carbon and its sequestration by using better data. You will play a crucial part in developing and maintaining our data infrastructure, ensuring the seamless integration and processing of large-scale datasets. Your work will directly contribute to the advancement of our MRV tools, helping to drive effective climate solutions through innovative technology. We're looking for someone who brings an analytical mindset, and data engineering skills, as well as an interest in environmental sciences and data analysis. You will be part of a passionate team that aims to have a direct positive impact on the world. We value proactivity, authenticity, creativity, and empathy in our company culture.

**Impact you’ll own:**

*   Design, build, test, and maintain scalable databases and ETL/ELT pipelines for diverse datasets, including satellite and soil data 
*   Manage the onboarding of new datasets and implement rigorous data quality processes
*   Build trusted and scalable data models to support our ML initiatives and MRV products
*   Standardize our data discovery, acquisition, and harmonization processes
*   Develop analytical data models and dashboards to serve the needs of insights and analytics
*   Collaborate with stakeholders across the company to constantly optimize the data infrastructure and associated processes.

## Requirements

**What you bring:**

*   2-4 years of experience in data engineering / science roles, including practical experience building databases / data models and ETL processes (SQL, dbt, Python)
*   Solid understanding of relational databases, schema design and data quality processes, preferably in the context of MLOps and development.
*   Familiarity with cloud platforms (AWS, GCP, Azure) and their data services
*   Practical experience creating dashboards and analytics for technical and/or business insights 
*   Ability to work and communicate effectively in an agile, fast-paced startup environment
*   A proactive, can-do attitude with the ability to quickly adapt, learn, and embrace change
*   Passion for environmental sustainability and climate tech

**What makes you stand out:**

*   Bonus: Experience with geospatial data (especially environmental and/or satellite data), software (PostGIS, GeoPandas, GDAL) or soil science is a big plus.
*   Bonus: Experience with ML development and MLOps, including model training, deployment, and monitoring is a big plus.
*   Bonus: Practical experience with orchestration tools (e.g. Airflow) is a plus.

## Benefits

**Benefits you can expect:**

*   Be part of our highly motivated, committed, and international team with flat hierarchies that is working on solving one of societies’ biggest challenges: Climate Change
*   Witness and shape the evolution of a new business being built
*   Collaborative DevOps culture with opportunities for continuous learning and improvement
*   Work in a casual environment with flexible hours and some ability to work from home
*   Competitive salary, benefits, and compensation package
*   Drinks, snacks, team events, and your choice of hardware

Seqana is committed to building a workplace culture based on the values of proactivity, authenticity, creativity, and empathy, where equal employment opportunity is guaranteed to all applicants and team members regardless of their race, color, ethnicity, sex, sexual identity, religion, or disability. If this job intrigues you, but you’re thinking you might not have all of the qualifications, please do apply anyway. We are looking for well-rounded people from around the world who can contribute in more ways than just what is listed in this job description. We are excited to build a team that celebrates diversity in all its forms.

Join us if you want to advance climate action in your daily work and are open to new insights and opportunities everyday. Please apply with a short motivational letter and your CV.

Employee

Professional / Experienced

Join us in the global movement for climate action through data-driven soil carbon sequestration. Soils are the unsung hero in the fight against climate change. With your help we want to uncover and use this secret. As data engineer at Seqana you will acquire and harmonize data on soils to unlock the potential of soil carbon sequestration for climate protection.
About Seqana:
Seqana is an EU- and venture-backed start-up building monitoring, reporting and verification (MRV) tools to drive soil carbon sequestration and the transition towards regenerative and climate-preserving agriculture.
One of the most powerful (and underutilized) solutions to climate change is capturing carbon in soils via regenerative agricultural practices. This approach has the potential for several times more climate impact than planting forests, while also providing extensive co-benefits such as erosion mitigation and improved water quality, food security, and biodiversity.
Existing solutions for MRV for the carbon market are one of the main drivers of cost and effort, and often the limiting factor for new project development. At Seqana, we combine satellite imagery, our extensive proprietary library of soil datasets, and machine learning to provide an accurate, cost-effective, and efficient MRV solution for soil organic carbon. Our product enables project developers, large corporations and NGOS with a scalable solution to measure and quantify the impact of their regenerative agricultural practices on soil carbon sequestration, enabling them to report credible CO2 reductions.
<h2 id="tasks">Tasks</h2>
Our growing team is looking for an ambitious and driven data engineer to help us quantify soil organic carbon and its sequestration by using better data. You will play a crucial part in developing and maintaining our data infrastructure, ensuring the seamless integration and processing of large-scale datasets. Your work will directly contribute to the advancement of our MRV tools, helping to drive effective climate solutions through innovative technology. We&#39;re looking for someone who brings an analytical mindset, and data engineering skills, as well as an interest in environmental sciences and data analysis. You will be part of a passionate team that aims to have a direct positive impact on the world. We value proactivity, authenticity, creativity, and empathy in our company culture.
Impact you’ll own:
<ul>
<li>Design, build, test, and maintain scalable databases and ETL/ELT pipelines for diverse datasets, including satellite and soil data </li>
<li>Manage the onboarding of new datasets and implement rigorous data quality processes</li>
<li>Build trusted and scalable data models to support our ML initiatives and MRV products</li>
<li>Standardize our data discovery, acquisition, and harmonization processes</li>
<li>Develop analytical data models and dashboards to serve the needs of insights and analytics</li>
<li>Collaborate with stakeholders across the company to constantly optimize the data infrastructure and associated processes.</li>
</ul>
<h2 id="requirements">Requirements</h2>
What you bring:
<ul>
<li>2-4 years of experience in data engineering / science roles, including practical experience building databases / data models and ETL processes (SQL, dbt, Python)</li>
<li>Solid understanding of relational databases, schema design and data quality processes, preferably in the context of MLOps and development.</li>
<li>Familiarity with cloud platforms (AWS, GCP, Azure) and their data services</li>
<li>Practical experience creating dashboards and analytics for technical and/or business insights </li>
<li>Ability to work and communicate effectively in an agile, fast-paced startup environment</li>
<li>A proactive, can-do attitude with the ability to quickly adapt, learn, and embrace change</li>
<li>Passion for environmental sustainability and climate tech</li>
</ul>
What makes you stand out:
<ul>
<li>Bonus: Experience with geospatial data (especially environmental and/or satellite data), software (PostGIS, GeoPandas, GDAL) or soil science is a big plus.</li>
<li>Bonus: Experience with ML development and MLOps, including model training, deployment, and monitoring is a big plus.</li>
<li>Bonus: Practical experience with orchestration tools (e.g. Airflow) is a plus.</li>
</ul>
<h2 id="benefits">Benefits</h2>
Benefits you can expect:
<ul>
<li>Be part of our highly motivated, committed, and international team with flat hierarchies that is working on solving one of societies’ biggest challenges: Climate Change</li>
<li>Witness and shape the evolution of a new business being built</li>
<li>Collaborative DevOps culture with opportunities for continuous learning and improvement</li>
<li>Work in a casual environment with flexible hours and some ability to work from home</li>
<li>Competitive salary, benefits, and compensation package</li>
<li>Drinks, snacks, team events, and your choice of hardware</li>
</ul>
Seqana is committed to building a workplace culture based on the values of proactivity, authenticity, creativity, and empathy, where equal employment opportunity is guaranteed to all applicants and team members regardless of their race, color, ethnicity, sex, sexual identity, religion, or disability. If this job intrigues you, but you’re thinking you might not have all of the qualifications, please do apply anyway. We are looking for well-rounded people from around the world who can contribute in more ways than just what is listed in this job description. We are excited to build a team that celebrates diversity in all its forms.
Join us if you want to advance climate action in your daily work and are open to new insights and opportunities everyday. Please apply with a short motivational letter and your CV.

Data Engineer

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