About us:
BeZero Carbon is a global ratings agency for the Voluntary Carbon Market. Our ratings allow all market participants to price and manage risk. BeZero&rsquo;s ratings and research tools support buyers, intermediaries, investors, and carbon project developers.
Founded in April 2020, our 120+-strong team combines climatic and earth sciences, sell-side financial research, earth observation, machine learning, data and technology, engineering, and public policy expertise. We work from five continents.
<a href="http://www.bezerocarbon.com/">www.bezerocarbon.com</a>
Background on the role:
BeZero is looking for a mid- or senior-level data engineer to join our geospatial machine learning team. The team is responsible for building and machine learning products for our client-facing platform and internal teams. The team sits at the heart of the business, working across our ratings, product, and technology teams and we plan to grow the team with several new members.
As a data team, we have a bias towards shipping products, staying close to our internal and external customers, and owning our infrastructure and deployments end-to-end. This is a team that follows software engineering best practices closely. Our data stack looks as follows:
<ul>
<li>&nbsp;AWS as our cloud infrastructure provider.</li>
<li>&nbsp;Snowflake as our central data warehouse for tabular data. AWS S3 is used for our raster data, and we use PostGIS for querying geospatial vector data.</li>
<li>&nbsp;dbt for building SQL-style data models and taking care of the &lsquo;T&rsquo; in ELT.</li>
<li>&nbsp;Python jobs for non-SQL data transformations, using packages like gdal, rasterio, xarray, geopandas and many others.</li>
<li>&nbsp;Prefect as our workflow orchestration manager, with our jobs executed on AWS ECS.</li>
<li>AWS Sagemaker for model development and deployment.</li>
<li>&nbsp;Metabase as a dashboarding solution for end-users.</li>
<li>&nbsp;GitHub Actions for CI / CD.</li>
</ul>
You&rsquo;ll be responsible for building geospatial data products and algorithms that directly affect the way our ratings team analyses carbon offset projects. You&rsquo;ll therefore work closely with researchers in our Geospatial Research team and ratings scientists in our Ratings team. We process large-scale satellite imagery data sets (think about any of the public NASA and ESA missions) of different types (optical imagery, radar, SAR) for most of our use-cases, but also leverage raster and vector data from partnerships we have with data vendors. You&rsquo;ll make this data available in our geospatial data lake for other BeZero team, but your work could focus on building derived analytical data feeds on top of those data sources. If you&rsquo;re interested, there is the possibility to co-develop statistical or machine learning algorithms for a variety of use-cases with our geospatial data scientists. There&rsquo;s a well-defined roadmap of use-cases in place for the near-term future.
You&rsquo;re welcome to work in our London-based office, but we very much welcome applications remotely if you can work GMT +/- 3 hours<a id="_anchor_1" href="https://app.teamtailor.com/companies/lLfTuK4ToWM/jobs/2732200/edit/posting?showApprove=false&amp;template=false#_msocom_1">[1]</a>&nbsp;.
Responsibilities:
You will be an individual contributor in our geospatial machine learning team, focused on developing and maintaining geospatial data products to be deployed on our carbon markets platform or used internally by our ratings team.
You will build automated data pipelines that collect and manipulate large geospatial data sets (such as optical satellite imagery, SAR and LiDAR, climate data and others).
You will work with our internal research and ratings teams to integrate the outputs of (analytical) data pipelines into BeZero&rsquo;s business processes.
You&rsquo;ll be our ideal candidate if:
You care deeply about the climate and carbon markets and are excited by solutions for decarbonising our economy.
You are a highly collaborative individual who wants to solve problems that drive business value.
You have 3+ years of experience in building ELT pipelines in a commercial setting and deploying these to production.
You have experience dealing with a variety of geospatial data formats (e.g., netCDF, (cloud-optimised) geotiff, geoJSONs, zarr) and geospatial SQL and Python packages (e.g., PostGIS, xarray, rasterio, shapely, gdal).
You can write clean, maintainable, scalable, and robust code in Python and SQL, and are familiar with collaborative coding best practices (e.g., for Python PEP8 code style, unit testing, continuous integration tools such as flake8, black, isort, etc).
You have experience with a workflow orchestration tool (e.g., Prefect, Dagster, Airflow, Luigi), a cloud platform (we use AWS but any cloud platform will do) and the Python scientific computing stack (NumPy, SciPy, matplotlib, pandas, etc).
Bonus points (but we&rsquo;d still like to hear from you if you don&rsquo;t have experience in any of these)
You have experience with machine learning platforms (like AWS Sagemaker, MLFlow, weights &amp; biases) to design, test, serve and monitor geospatial ML pipelines.
You have deep experience in productionising and analysing specific satellite imagery data types like SAR, LiDAR, or RADAR or another remote sensing domain.
Research has shown that women are less likely than men to apply for a role if they don&rsquo;t have experience in 100% of the requirements outlined in a job description. Please know that even if you don&rsquo;t have experience in all the areas above but think you could do a great job and are excited about shaping company culture, finding great people, and building great teams, we&rsquo;d love to hear from you!
What we&rsquo;ll offer:
<ul>
<li>Competitive salary and opportunity for equity in a rapidly growing VC-backed start-up through share options</li>
</ul>
<ul>
<li>&nbsp;Ability to learn and develop alongside a range of sector specialists from the scientific, economic and business community</li>
</ul>
<ul>
<li>&nbsp;Opportunity to work in a cross-cutting role, interacting with lots of different parts of the business</li>
</ul>
<ul>
<li>&nbsp;Growth opportunities that come from working at a fast-paced VC-backed technology business</li>
</ul>
<ul>
<li>&nbsp;Opportunity to work remote or in our Central London office space (Old Street) with flexibility to work from home + some flexibility over working location during the summer</li>
</ul>
<ul>
<li>&nbsp;Regular social events</li>
</ul>
<ul>
<li>&nbsp;25 days leave (with additional time off between Christmas and New Year, and for your birthday)</li>
</ul>
<ul>
<li>Private medical insurance, dental, critical illness cover, income protection, life assurance, medical cash plan, cycle to work scheme, and a health and wellness cash allowance</li>
</ul>
We value diversity at BeZero Carbon. We need a team that brings different perspectives and backgrounds together to build the tools needed to make the voluntary carbon market transparent. We&rsquo;re therefore committed to not discriminate based on race, religion, colour, national origin, sex, sexual orientation, gender identity, marital status, veteran status, age, or disability.
&nbsp;

BeZero Carbon is a global ratings agency for the Voluntary Carbon Market. Our carbon credit ratings allow all market participants to price and manage risk. BeZero&rsquo;s carbon ratings and research tools support buyers, intermediaries, investors, and carbon project developers.&nbsp;
Founded in April 2020, our 100-strong team combines climatic and earth sciences, sell-side financial research, earth observation, machine learning, data and technology, engineering, and public policy expertise. Our head office is in London, and our people work from six continents.

Geospatial Data Engineer

About us:
BeZero Carbon is a global ratings agency for the Voluntary Carbon Market. Our ratings allow all market participants to price and manage risk. BeZero’s ratings and research tools support buyers, intermediaries, investors, and carbon project developers.
Founded in April 2020, our 120+-strong team combines climatic and earth sciences, sell-side financial research, earth observation, machine learning, data and technology, engineering, and public policy expertise. We work from five continents.
<a href="http://www.bezerocarbon.com/">www.bezerocarbon.com</a>
Background on the role:
BeZero is looking for a mid- or senior-level data engineer to join our geospatial machine learning team. The team is responsible for building and machine learning products for our client-facing platform and internal teams. The team sits at the heart of the business, working across our ratings, product, and technology teams and we plan to grow the team with several new members.
As a data team, we have a bias towards shipping products, staying close to our internal and external customers, and owning our infrastructure and deployments end-to-end. This is a team that follows software engineering best practices closely. Our data stack looks as follows:
<ul>
<li>&nbsp;AWS as our cloud infrastructure provider.</li>
<li>&nbsp;Snowflake as our central data warehouse for tabular data. AWS S3 is used for our raster data, and we use PostGIS for querying geospatial vector data.</li>
<li>&nbsp;dbt for building SQL-style data models and taking care of the ‘T’ in ELT.</li>
<li>&nbsp;Python jobs for non-SQL data transformations, using packages like gdal, rasterio, xarray, geopandas and many others.</li>
<li>&nbsp;Prefect as our workflow orchestration manager, with our jobs executed on AWS ECS.</li>
<li>AWS Sagemaker for model development and deployment.</li>
<li>&nbsp;Metabase as a dashboarding solution for end-users.</li>
<li>&nbsp;GitHub Actions for CI / CD.</li>
</ul>
You’ll be responsible for building geospatial data products and algorithms that directly affect the way our ratings team analyses carbon offset projects. You’ll therefore work closely with researchers in our Geospatial Research team and ratings scientists in our Ratings team. We process large-scale satellite imagery data sets (think about any of the public NASA and ESA missions) of different types (optical imagery, radar, SAR) for most of our use-cases, but also leverage raster and vector data from partnerships we have with data vendors. You’ll make this data available in our geospatial data lake for other BeZero team, but your work could focus on building derived analytical data feeds on top of those data sources. If you’re interested, there is the possibility to co-develop statistical or machine learning algorithms for a variety of use-cases with our geospatial data scientists. There’s a well-defined roadmap of use-cases in place for the near-term future.
You’re welcome to work in our London-based office, but we very much welcome applications remotely if you can work GMT +/- 3 hours<a id="_anchor_1" href="https://app.teamtailor.com/companies/lLfTuK4ToWM/jobs/2732200/edit/posting?showApprove=false&amp;template=false#_msocom_1">[1]</a>&nbsp;.
Responsibilities:
You will be an individual contributor in our geospatial machine learning team, focused on developing and maintaining geospatial data products to be deployed on our carbon markets platform or used internally by our ratings team.
You will build automated data pipelines that collect and manipulate large geospatial data sets (such as optical satellite imagery, SAR and LiDAR, climate data and others).
You will work with our internal research and ratings teams to integrate the outputs of (analytical) data pipelines into BeZero’s business processes.
You’ll be our ideal candidate if:
You care deeply about the climate and carbon markets and are excited by solutions for decarbonising our economy.
You are a highly collaborative individual who wants to solve problems that drive business value.
You have 3+ years of experience in building ELT pipelines in a commercial setting and deploying these to production.
You have experience dealing with a variety of geospatial data formats (e.g., netCDF, (cloud-optimised) geotiff, geoJSONs, zarr) and geospatial SQL and Python packages (e.g., PostGIS, xarray, rasterio, shapely, gdal).
You can write clean, maintainable, scalable, and robust code in Python and SQL, and are familiar with collaborative coding best practices (e.g., for Python PEP8 code style, unit testing, continuous integration tools such as flake8, black, isort, etc).
You have experience with a workflow orchestration tool (e.g., Prefect, Dagster, Airflow, Luigi), a cloud platform (we use AWS but any cloud platform will do) and the Python scientific computing stack (NumPy, SciPy, matplotlib, pandas, etc).
Bonus points (but we’d still like to hear from you if you don’t have experience in any of these)
You have experience with machine learning platforms (like AWS Sagemaker, MLFlow, weights &amp; biases) to design, test, serve and monitor geospatial ML pipelines.
You have deep experience in productionising and analysing specific satellite imagery data types like SAR, LiDAR, or RADAR or another remote sensing domain.
Research has shown that women are less likely than men to apply for a role if they don’t have experience in 100% of the requirements outlined in a job description. Please know that even if you don’t have experience in all the areas above but think you could do a great job and are excited about shaping company culture, finding great people, and building great teams, we’d love to hear from you!
What we’ll offer:
<ul>
<li>Competitive salary and opportunity for equity in a rapidly growing VC-backed start-up through share options</li>
</ul>
<ul>
<li>&nbsp;Ability to learn and develop alongside a range of sector specialists from the scientific, economic and business community</li>
</ul>
<ul>
<li>&nbsp;Opportunity to work in a cross-cutting role, interacting with lots of different parts of the business</li>
</ul>
<ul>
<li>&nbsp;Growth opportunities that come from working at a fast-paced VC-backed technology business</li>
</ul>
<ul>
<li>&nbsp;Opportunity to work remote or in our Central London office space (Old Street) with flexibility to work from home + some flexibility over working location during the summer</li>
</ul>
<ul>
<li>&nbsp;Regular social events</li>
</ul>
<ul>
<li>&nbsp;25 days leave (with additional time off between Christmas and New Year, and for your birthday)</li>
</ul>
<ul>
<li>Private medical insurance, dental, critical illness cover, income protection, life assurance, medical cash plan, cycle to work scheme, and a health and wellness cash allowance</li>
</ul>
We value diversity at BeZero Carbon. We need a team that brings different perspectives and backgrounds together to build the tools needed to make the voluntary carbon market transparent. We’re therefore committed to not discriminate based on race, religion, colour, national origin, sex, sexual orientation, gender identity, marital status, veteran status, age, or disability.
&nbsp;

Geospatial Data Engineer

About the Job

About the Company

BeZero Carbon

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