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Full-Time

Staff Data Engineer

Confirmed live in the last 24 hours

Sylvera

Sylvera

51-200 employees

Measures biomass using lidar technology

Energy
AI & Machine Learning

Senior, Expert

London, UK

Hybrid position with access to an office in London.

Category
Data Engineering
Data & Analytics
Required Skills
Agile
Python
Airflow
SQL
Snowflake
Requirements
  • Can demonstrate extensive experience having designed and scaled a Data Platform
  • Has strong Python skills
  • Has great SQL, preferably knowledge of Snowflake (or Databricks)
  • Has previous experience working with dbt & Airflow
  • Is passionate about solving complex data problems & is interested in working with rich & diverse climate datasets
  • Cares deeply about the climate and ecosystems of the earth
  • Is a self-starter who thrives in constantly evolving environments, ideally with early-stage experience
Responsibilities
  • Technically leadership our Data Platform Team under the guidance of our VP of Data
  • Building platform capabilities to enable easier integration of our data warehouse with both internal and external tools and services
  • Collaborating with other teams to help them leverage Data Platform in their workflows while ensuring a consistent approach to data testing, versioning, and metadata management within our data mesh
  • Integrating with APIs to ingest data, ensuring synchronicity between our data layer and our GraphQL API layer
  • Applying an agile approach in terms of our development lifecycle, allowing us to build complex Data Engineering solutions incrementally
  • Knowledge sharing within the team on our data

Sylvera uses lidar scanners to measure biomass in tropical rainforests, having scanned over 16 million trees in Gabon and Peru. The company provides accurate carbon data to organizations and governments, helping them make informed investment decisions in climate action. Unlike competitors, Sylvera does not sell carbon credits or accept payments from developers; it earns revenue by selling access to its proprietary, peer-reviewed carbon data. Its estimates of biomass and carbon storage are up to 13 times more accurate than traditional methods, thanks to advanced machine learning models.

Company Stage

Series B

Total Funding

$101.9M

Headquarters

London, United Kingdom

Founded

2020

Growth & Insights
Headcount

6 month growth

3%

1 year growth

3%

2 year growth

20%
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Simplify's Take

What believers are saying

  • Sylvera's partnerships with entities like ACX and the Singapore government enhance its credibility and market reach.
  • The introduction of tools like the Catalog & Screenings tool demonstrates Sylvera's commitment to innovation and improving carbon project identification.
  • Hiring experienced executives, such as the ex-Dropbox COO, positions Sylvera for strategic growth and operational excellence.

What critics are saying

  • The reliance on advanced technology like lidar scanners and machine learning models may lead to high operational costs.
  • The competitive landscape of the carbon market could pressure Sylvera to continuously innovate to maintain its edge.

What makes Sylvera unique

  • Sylvera's use of lidar scanners and advanced machine learning models provides carbon data that is up to 13 times more accurate than conventional estimates.
  • Unlike many competitors, Sylvera does not sell carbon credits or rate projects for developers, ensuring unbiased and reliable data.
  • Sylvera's proprietary data is peer-reviewed and developed in-house, offering a unique value proposition in the carbon market.

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