Senior Data Engineer

Job Description

What skills will you need?

• Scala is a must have as 95% of our code in Data Engineering is scala
• Java, Python and Go good to have
• Streaming / messaging frameworks such as Kafka or SQS
• Streaming frameworks such as Spark or Flink
• Deep understanding and knowledge of data modelling (RDBMS, serialisation protocols and NoSQL)
• Distributed architectures and micro-services
• DevOps and CI/CD tooling, such as Jenkins, Maven, Git, ArgoCd
• Strong automation mindset and a passion for root cause analysis
• Expertise in performance tuning and service monitoring

A great candidate would have experience with:

• AWS infrastructure & tooling
• Docker/Kubernetes as a user
• Modern data warehousing (Hive, Kylin or Presto)
• Elastic-search and Prometheus

This role reports into Jorge Ramos, Lead Data Engineer.

This is what Jorge says about the role:

“Transforming data into actionable information, that’s what you’ll do with Humn. We’re transforming hard to read, grasp and reason about information such as vehicle telematics into relevant information about driving patterns and risk. We’re transforming the way driving is perceived by empowering drivers with performance information and metrics within a system that rewards driving safer".

“At humn I found a home that focuses on providing me with everything I need to do what I love while loving what I do. A remote first environment that will empower you to drive your tasks in your terms and work with inspiring people that will help you grow and leap forward.”

If building data pipelines in a fast-moving company with the latest technology stack sound good to you then read on!

Who are we?

Humn.ai is an award-winning venture-backed InsurTech headquartered in London but working wherever you are. We are a data-first start-up on a mission to make insurance work better for commercial transportation fleets. We make risk visible and price insurance by the second so businesses can focus on what they do best: move people and goods safely.

Our core platform utilises streaming telematics data and adjusts insurance pricing in real-time reacting to the driver's usage, behaviour and environment to enable us to offer previously impossible insurance products.

What's important to us?

Our ethos is built on the principles of empowerment and autonomy. We believe in the power of open collaboration, open communication & open-source software. We need people who understand what it is like to be part of a shared mission and what it takes for a team to succeed. Skills are important but people are everything. If these words speak to you, you should talk to us!

What will you be responsible for?

• You will be an essential part of an award-winning venture-backed and rapidly growing InsurTech.
• All aspects of development, testing, deployment and support of a real-time streaming application at Senior Engineer level and driving design decisions alongside senior members of the team and coaching other more junior ones
• Building and deploying data processing pipelines for IoT data
• Creation of reusable data models
• Designing and building scalable services that integrate with a large range of data providers
• Leveraging data analytics frameworks that serve Petabyte-scale data insights to customers
• Release testing and productionising new components

We want you because you

• Have Scala development experience of at least 2 years
• Work with Open Source data processing frameworks like Spark and/or Flink
• Have experience with Event Driven Architectures built around Kafka
• Have worked before with Kubernetes as a developer including containerisation of apps, and service and deployment definition
• Have experience using Elasticsearch, InfluxDB, Aerospike and other enterprise grade NoSQL databases from a data design and integration perspectives
• Strongly believe in automation and good testing practices
• Have expertise in performance tuning and service monitoring
• Have led a team before or are willing to undertake team leadership responsibilities

A great candidate would have experience with:

• Modern data warehousing (Hive, Kylin or Presto)
• Prometheus and Grafana

Soft Skills:

• Good communicator
• An eagerness to learn
• Good explainer: can make the complex simple

What will I get in return?

• Competitive salary
• You will be eligible to participate in our options scheme and will benefit from being an early joiner
• Work from the London office, from home or from anywhere!
• Very flexible and generous vacation policy*
• A cutting edge technical environment to tune your skills

* Our policy aims to encourage staff to consider flexible working arrangements. We recognise that a better work-life balance can improve employee motivation, performance and productivity, and reduce stress. Therefore we support employees in achieving a better balance between work and their other priorities, such as caring responsibilities, leisure activities, further learning, and other interests. Humn.ai is committed to agreeing on any flexible working arrangements, provided that the needs and objectives of both the organisation and the employee can be met.