What is Sylvera anyway? ‍👩‍👨🌳

Sylvera provides carbon data for genuine climate impact. Our mission is to incentivize investment in real climate action.

Purchasing credits through the carbon markets is one of the most established and scalable ways to channel finance from the private sector to effective climate solutions and work toward societal net zero. Unfortunately, the voluntary carbon markets have been plagued with mistrust and a lack of effectiveness since they’ve emerged – until Sylvera.

To help organizations ensure they're making the most effective investments, Sylvera builds software that independently and accurately automates the evaluation of carbon projects that capture, remove, or avoid emissions. With Sylvera's data and tools, businesses and governments can confidently invest in, benchmark, deliver, and report real climate impact.

Our team is made up of leading minds in climate change from scientists to policy, finance and carbon market experts. We work in partnership with scientific organisations, universities, governments and think tanks to develop and test rigorous and holistic ratings methodologies, leveraging the latest technology. Founded in 2020, Sylvera has 150+ employees across the world with offices in London, New York, Belgrade and Singapore. We’ve raised over $96million from leading VCs like Balderton Capital, Index Ventures and Insight Partners to date.

What will I be doing? ‍‍👩‍💻👨‍💻

We’re looking for a mission-driven, Lead Data Engineer to join our Data Platform function and drive the development of our data platform, leading a small team to achieve robust and reliable data infrastructure through the implementation of a datamesh architecture. Specific responsibilities will include:

- Leading our Data Platform Team under the guidance of our Head of Data Platform

- 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, but also to ensure 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

- Those who are successful will progress quickly, either as individual contributors or following a management path.

We’re looking for someone who: 🧠💚

- Can demonstrate extensive experience having designed and scaled a Data Platform

- Has strong Python skills,

- Has great SQL, preferably Snowflake

- 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

We’d like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description.