Data Engineer (Jnr/Mid)...

Job Description DATA ENGINEER ROLE Overview:
BirdsEyeView is an InsurTech venture based in London. BirdsEyeView
builds Natural Catastrophe Modelling software for reinsurance and
insurers globally. The software enables specialty insurers to model
future floods, wildfires, tropical cyclones, and more. The
BirdsEyeView technology ecosystem includes a massive climate data
infrastructure, scalable product development, and machine learning
data cleansing and ingestion. By combining all these factors,
BirdsEyeView helps underwriters assess their exposures to growing
climate-change-induced natural catastrophes. About the role You’ll
be tasked with supporting the continued development of Natural
Peril development and integration for BirdsEyeView’s cloud-based
WEATHER ANALYTIX™ platform. WEATHER ANALYTIX™ provides our
insurance partners with cutting edge climate and weather analytics
models, helping them assess their exposure to natural catastrophes
and improve their underwriting performance. You’ll be joining a
small team of scientists, software developers and insurance experts
and will have a unique opportunity to impact many levels of the
firm, such as business applications and product development. This
is an ideal position for someone interested in working with large
climate and geospatial data, building new technologies, while
taking a deep dive into the insurance industry. The role will
present great opportunities for growth and you will play an
important role in other areas of the business. Key
Responsibilities: - Support the strategy and its implementation for
the WEATHER ANLYTIX™ platform - on time and to budget. - Process
new meteorological datasets through our partnership with the
European Space Agency. - Work closely with the data science team to
incorporate and create global Wildfire, Hurricane, Tornado,
Lightning, Earthquake and Flood models. - Collaborate with the
Business Development teams to define and help deliver new products
and enhancements. - Identify, compare, select and implement
technology solutions to meet current and future needs. Minimum
Requirements: - Bachelor's degree in Computer Science, Statistics,
Physics or a related quantitative field. Master's degree preferred.

• 2+ years relevant experience. - Proven experience in Data
  Engineering or Solution Architecture, preferably in AWS. - Strong
  proficiency in Python for data manipulation and machine learning. -
  Experience working with large and complex geospatial datasets. -
  Understanding of web systems architecture, design, and development.
  
• Ability to work autonomously with excellent time, budget, and
  project management skills. - A hands-on, can-do attitude with the
  ability to collaborate effectively in a dynamic team environment.
  Nice to Have: - Experience working with JIRA, Confluence, GitLab,
  AWS - Experience working with ERA5/Climate Data - Experience
  working with MLOps and DevOps practices - Knowledge of Insurance
  Market Compensation - Competitive salary and performance-based
  incentives - Health Insurance & Pension Scheme - Share option
  package - 26 days per year holiday - 7 Days Work from Abroad Policy
  
• Office Location: City of London Important: This role is on-site
  with applicants expected in the office a minimum of 4 days / week.
  We encourage you to apply even if you don’t strictly meet all
  mandatory criteria listed above. If you’re interested in applying,
  then please email your CV & Cover Letter to: