Crunching data to shed light on the financing of tropical deforestation
Green Finance Fintech - Mid Level Data Engineer£50k – £65k
Green finance startup looking for a Data Engineer for a team tackling tropical deforestation and climate change.
Neural Alpha is one of the most inspiring young Fintechs in the UK. We’re striving to making a real difference in combating climate change.
Using cutting edge technology like connected data, graph networks, machine learning, cloud (AWS), data science and our deep knowledge of how financial systems work, we’re combatting climate change by fighting deforestation at its root - the sources of funding. We take data from satellites to spot where deforestation is happening and merge that with company, financial and shipping data from governments and NGOs to reconstruct the whole deforestation supply chain. Who is paying for rainforest in Brazil and Indonesia to be cut down? Who is farming on that new land? Who is shipping the soy or beef from that land around the world? Who is buying it? Essentially – who is funding deforestation? We’re building tools to provide this clarity. Our tools are used by environmental agencies and journalists to uncover the causes of deforestation and by banks and other investment institutions to reduce their exposure to unethical practices.
We use a modern, exciting tech stack and we're proud of the relaxed, innovative and collaborative environment we have created. We’re solving unique and fascinating challenges, and we’ve got a great team of super-bright people at our vibrant London office (working entirely remotely at present).
Neural Alpha is a real pioneer in the use of the use of Connected Data. We run a successful international conference and work closely with vendors of graph databases and scientists specialised in RDF, graph databases, semantic web.)
About the role
Ideally a more experienced candidate will have a Computer Science background, demonstrable leadership experience and portfolio pieces illustrating Data Engineering and Data Science skills. It is useful, but not essential, to have experience using semantic / linked data technologies, graphql, graph databases, Natural Language Processing (NLP) and machine learning techniques.
- Educational Background in Computer Science or alternative STEM degree
- 2+ years commercial experience essential
- Experience of deploying Microservices essential
- Experience developing on AWS essential
- Experience of GraphQL very useful
- Experience of modern development standards - TDD, CI/CD very useful
- Initial phone call
- Technical exercise
- Final interview
Flexible fully remote & hybrid working patterns
Option of office use in central London location (Kennington)
25 days starting holiday
Breakfast on mondays
Secure bike storage and showers
Beer & learn fridays
Every Friday we do Beer & Learn at the end of the day to cross train and learn new skills
Brand new macbook
For a great development experience
Annual company bonus
Saving the amazon rainforest