Data Engineer

Huxley Banking & Financial Services
65000.00 - 85000.00 GBP Annual + Bonus + Benefits
22 Oct 2020
28 Oct 2020
Contract Type
Full Time

Data Engineer

Technology Solutions Provider

??65,000 - ??85,000

London, 100% remote working


My client is based in the heart of central London currently on the market looking for a Data Engineer to help them build a strategic Risk calculation engine and associated workflows.

The candidate will participate in the design and development of the platform, interacting with globally distributed Risk Officers (Market Risk, Credit Risk), Quants and IT Dev/QA team.

Role Requirement:

  • Design and develop high-quality software solutions for Risk platform.
  • Create new modules & data flows to meet regulatory requirements (FRTB, GMETH).
  • Use Scala, Java or Python programming languages to build required functionality.
  • Implement data pipelines using big data/cloud technologies Apache Spark, Hadoop, Microsoft Azure Cloud (Data Lake, Data Factory, Batch) and Databricks.
  • Design and develop microservices using Spring Boot and Azure Kubernetes Service (PKS) cluster.


  • Expertise with Scala, Java or Python languages.
  • Experience with Spark, Hadoop, and Databricks (a must-have).
  • Experience with any of the Big-3 Cloud platforms - Azure (preferred), AWS or Google. Experience building data lakes and data pipelines in the cloud.
  • Experience designing high-performance, high-load systems.
  • Understanding of the distributed Agile SDLC model.

Preferred experiences:

  • Spark Developer certification is an added advantage.
  • Azure Data Factory, Azure Batch.
  • Expertise in Financial Services industry.

How to Apply:

Simply attach your most recent resume by following the APPLY link. All applications/expressions of interest are treated as confidential and no resumes will be forwarded to our client without prior written candidate approval.

To find out more about Huxley, please visit our website.

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Agency in relation to this vacancy

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