Green finance startup looking for a Data Engineer to lead a team tackling tropical deforestation and climate change.
# About Us
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.
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
# Hiring Process
1. Initial phone call
2. Technical exercise
3. Final interview