• Location: England, London
  • Salary: Negotiable
  • Technology: AWS Jobs
  • Job Type: Permanent
  • Date Posted: 16th Sep, 2019
  • Reference: 16/09/2019_1568651472
Data Engineer



Location: London HQ/ Remote



Salary: £75,000



Jefferson frank are currently working with a London-based startup providing real-time analytics and insurance pricing for commercial fleet drivers. The companies core platform utilizes streaming telematic data and adjusts insurance pricing in real time reacting to the driver's usage, behaviour, environment and needs. The company mostly focus on ride-hailing, vehicle sharing and delivery services and are disrupting the commercial insurance industry by providing solutions that support the sharing economy.



The role

* Building data pipelines for IoT data
* Creation of reusable data models
* Building streaming frameworks that deliver real-time insights that positively impact the products we offer through the use of Complex Event Detection
* Design of batch analytics frameworks
* Release testing and productionising new components



Benefits

* Competitive salary depending on experience
* You will 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





Requirement

* Multiple years coding in Scala preferably; Java, Python and Go good to have
* Streaming frameworks such as Kafka or SQS
* Processing 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 or Gradle, Git, Ansible
* Strong automation mindset and a passion for root cause analysis
* Expertise in performance tuning and service monitoring



Desirable skills

* AWS infrastructure & tooling
* Docker/Kubernetes as a user
* Modern data warehousing (Hive, Kylin or Presto)
* Elasticsearch and Prometheus

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