Data Engineer

Jonathan Brenchley
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Agile Methodologies
Azure
Big Data
Databases
Data as a Services
Data Ingestion

Job description

Certain Advantage are recruiting on behalf of our London based trading client for a Data Engineer to focus on building a scalable data platform for algorithmic trading.

You'll Identify and implement solutions for Quants and Traders, providing data that will be used to improve strategies performance and produce clients TCA, pre- and post- trade analytics.

Your Project Work:

  • Identify and implement solutions to provide data that will be used to improve strategies performance and produce clients TCA, pre- and post- trade analytics.
  • Work with business Stakeholders to build new and maintain existing real-time and historical data services and statistical functions on top of the data.
  • Develop an in depth understanding of existing analytical libraries and help to broaden current offering.
  • Identify and implement solutions to optimize performance maintaining fast query execution.

Requirements

Are you a Data Engineer with a background in systematic trading who has worked with granular tick market data? Have you built pipelines to allow tick data to be ingested into a time series tech stack utilising kdb+ and Q? If so keep reading!, * Experience developing highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems.

  • Practical experience scaling and load-balancing infrastructure using market leading time-series database products (e.g. kdb, shakti)
  • Experience using of kdb and building indicators and backtesting frameworks using Q language.
  • Deep understanding of tick design and data organization, performance implications of different approaches when building time-series database infrastructure
  • Experience with Agile methodology and tools such as ADO, Github, Jenkins, Nexus and Jira

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