Senior Data Engineer - Multi-Model Authentication

  • Location

    London, England

  • Sector:

    Technology, Data

  • Job type:


  • Salary:

    £60000.00 - £100000 per annum + benefits, bonus

  • Contact:

    Niall Wharton

  • Contact email:

  • Job ref:


  • Published:

    5 months ago

  • Expiry date:


  • Startdate:


  • Consultant:


Senior Data Engineer - Multi-Model Authentication

Xcede's Data Science & Engineering recruitment team are working with one of the hottest London based Authentication and Online Security companies around. Lots of funding, excellent London HQ, and a great team of 10 Scientists (and 4 Data Engineers) to work alongside. Their Series B is coming up very soon and with even more fantastic clients signing up to their product, it's certainly a great time to get involved!

We're currently looking for a few more real time data engineers to join the team alongside the pre-existing contributors and report in to their Chief Data Architect (highly respected in London having built a number of successful real-time architectures with his previous companies who offer widely adopted customer focused products).

The need for your work is obvious; in order to monitor the security threats their clients face 24/7, the company utilise real time / event-based systems to make sure they catch any issues immediately. As such, the work that you will do is vital to the organisations' continued success.


*At least 2 languages that can be used to write web services/etc, especially Scala
*Experience with messaging and or data streaming technologies such as Kafka, ActiveMQ or public cloud streaming (e.g. AWS SQS).
*Knowledge of data structures design and use.
*Experience of data serialization formats, especially AVRO.
*Some knowledge of Python or related scripting languages
*Knowledge of a NoSQL database solution (preferably Cassandra)
*Experience of designing and developing with Akka
*Kafka ecosystem, Kafka Streams, Kafka Connect
*Exposure to public cloud (eg AWS) + PAAS/CAAS (eg kubernetes)
*Knowledge of development tools such as IntelliJ and Git.
*Knowledge of automation tools
*Knowledge of logging technologies, such as ELK stach
*Knowledge of monitoring tools, especially Prometheus

If you are interested in this or other Data Scientist or Data Engineer positions, please contact Niall Wharton on or +44(0)203 301 9908