Data Engineering Manager at Cervest


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Cervest is building the world's first open access AI-powered Climate Intelligence platform.

We’re a Certified B Corporation with a vision to build a climate intelligent world — one where everyone is able to use Climate Intelligence to adapt with climate change. By making Climate Intelligence open, democratised and transparent we will power a global Climate Intelligent Network™ that drives a chain reaction of climate intelligent decisions to protect the world’s critical assets, including our greatest asset — the planet.

Using our flagship EarthScanTM product, anyone can discover how current and future climate events such as flooding, droughts, and extreme temperatures will impact their assets. EarthScan helps our customers confidently de-risk decisions, meet financial disclosure needs and improve the resilience of the assets they own, manage or rely on.

As a company, we are a pro-diversity, highly inclusive organization, committed to bringing together people of all backgrounds and enabling them to succeed. We know that a richly diverse team will help us achieve our mission sooner.


We're hiring an Engineering Manager to take on 3-5 reports, working on our internal platform, EarthCore.  As part of a cross-functional team you'll be exercising a cutting-edge skill set to build out our climate models and pipelines.   The role offers a unique opportunity to join an exciting, early-stage, well-funded, highly mission-driven team where you’ll have the ability to make a significant impact on our company and our users.  

Reporting into the Head of Data & Applications Engineering, this position's time will be divided between management and individual contribution, and would suit a hands-on engineer with some existing management experience.

Main responsibilities

  • Line management of 3-5 engineers - coaching & mentoring, personal development, helping define goals and clarifying the company objectives, unblocking and helping with challenges
  • Supporting resourcing and recruitment
  • Contributing to the development of culture within the Data & Applications Engineering community
  • Productionising statistical and ML models - including earth science or commercials risk assessment and aggregation models
  • Harmonising data from disparate sources
  • Developing ways of monitoring data reliability and quality and tracking provenance
  • Ensuring software quality across our products including documentation, testing, monitoring and observability
  • Deploying services on our Kubernetes clusters
  • Working with senior leaders throughout Cervest to make sure that what we are building is best in class for what we are trying to achieve today as well as 12 months from now


  • Experience with Python in a commercial environment
  • Comfortable managing engineers of varying degrees of experience
  • Experience of working in an agile environment
  • Experience collaborating in a diverse and interdisciplinary team and nurturing an inclusive team culture
  • Demonstrated ability to design and develop sophisticated, innovative, efficient, and durable solutions to complex technology problems
  • Proficient understanding of distributed computing principles and hands-on experience with Apache Spark (Pyspark/Scala) or similar technology
  • Knowledge of different cloud optimized data formats such as Parquet, Avro, Protobuf
  • Good level of experience / comfort with Cloud Deployment Environments (AWS preferred)

Apply Now

Applications are now closed