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Data Platform Engineer

Job title: Data Platform Engineer
Location: United Kingdom
Industry: Data
Salary: £80,000 - £95,000
Reference: 17631
Contact name: Ryan Kennedy
Job published: May 30, 2023

Job description

Harrington Starr are delighted to be partnering with a scaling trading technology who are revolutionising the Digital Asset space in London for a Data Platform Engineer to join!

Our client has built a world leading digital asset trading infrastructure for institutional investors. This end-to-end platform connects global exchanges, custodians and liquidity providers via an API and web-based application!

The Role:

Within this role you work closely with the Data Engineering team to build and deploy an efficient platform to deliver high quality, accurate data to the end users.
You will be involved in the:
  • Development of a high volume/low latency trading platform
  • Working with products teams for the building of new features and services
  • Design and implementation of next gen ingestion pipelines for speed, reliability and scaling.

What do you need?

To be successful you will need to have experience across the following:
  • Strong knowledge of data structures, algorithms, and designing for performance
  • Strong knowledge of data structures, algorithms, and designing for performance
  • Experienced with building systems in either streaming or event driven architecture E.G. Kafka, Flink, etc.
  • Public cloud experience E.G. GCP/AWS
  • Bachelors degree in computer science, information technology, or similar
  • Previous experience in finance is desirable

What do you get?

As well as getting to have the latest technologies to work with, and gaining exposure across the asset management space, you will also receive an excellent package with a salary up to £95,000 for the right candidate.

On top of this you will also enjoy a company culture based on continuous improvement and with a strong support network in place.

For further information please reach out directly to Ryan Kennedy at Harrington Starr.
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