KDB+/Q Engineer

KDB+/Q Engineer

Posted 1 week ago by Square One Resources

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£500 Per day
Inside
Undetermined
London Area, United Kingdom
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Data Analysis Data Ingestion Data Integration Data Management Datamodel Data Modeling Data Processing Data Store Debugging Extract Transform Load (ETL) Generic Programming Indexing Management Memory Management Software Development Stakeholder Management Workflows

Summary: The KDB+/Q Engineer role involves building, enhancing, and maintaining data-driven applications using KDB+ and Q programming language. The position requires collaboration with quant researchers, traders, and engineers to develop high-performance solutions for real-time analytics and data processing. The successful candidate will be responsible for optimizing KDB+ databases and implementing solutions for real-time data ingestion and analysis. This is a 6-month contract position based in Central London, classified as inside IR35.

Key Responsibilities:

  • Develop, maintain, and optimize KDB+ databases and Q-based applications.
  • Work with stakeholders to design data models and structures for large-scale time-series data.
  • Implement solutions for real-time data ingestion, processing, and analysis.
  • Write high-performance Q code to ensure low-latency and high-throughput processing.
  • Optimize KDB+ queries for performance, including memory management and indexing strategies.
  • Develop and integrate ETL processes for managing data flows from various sources into KDB+.
  • Work closely with the quantitative research and trading teams to design and implement tools for real-time decision-making.
  • Troubleshoot and debug production issues, ensuring minimal downtime and high system reliability.
  • Contribute to architectural decisions related to data storage, retrieval, and real-time data analysis.
  • Document code, processes, and workflows to maintain knowledge sharing within the team.
  • Stay up-to-date with the latest advancements in KDB+/Q technologies and relevant tools.

Key Skills:

  • Proficiency in KDB+ and Q programming language.
  • Experience with time-series data management and analysis.
  • Strong understanding of database optimization techniques.
  • Ability to write high-performance code for real-time applications.
  • Experience with ETL processes and data integration.
  • Strong troubleshooting and debugging skills.
  • Excellent collaboration and communication skills.
  • Familiarity with quantitative research and trading environments.
  • Ability to document processes and workflows effectively.
  • Willingness to stay updated with new technologies and tools.

Salary (Rate): £500 daily

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: KDB+/Q Engineer

Location: Central London

Job Type: 6-month contract

Daily rate: £450/500 per day INSIDE IR35

We are seeking a highly skilled KDB+/Q Engineer to join our dynamic engineering team. The successful candidate will be responsible for building, enhancing, and maintaining data-driven applications and systems using KDB+ and Q programming language to handle large volumes of time-series data. You will collaborate with quant researchers, traders, and engineers to develop high-performance solutions for real-time analytics and data processing.

Key Responsibilities:

  • Develop, maintain, and optimize KDB+ databases and Q-based applications.
  • Work with stakeholders to design data models and structures for large-scale time-series data.
  • Implement solutions for real-time data ingestion, processing, and analysis.
  • Write high-performance Q code to ensure low-latency and high-throughput processing.
  • Optimize KDB+ queries for performance, including memory management and indexing strategies.
  • Develop and integrate ETL processes for managing data flows from various sources into KDB+.
  • Work closely with the quantitative research and trading teams to design and implement tools for real-time decision-making.
  • Troubleshoot and debug production issues, ensuring minimal downtime and high system reliability.
  • Contribute to architectural decisions related to data storage, retrieval, and real-time data analysis.
  • Document code, processes, and workflows to maintain knowledge sharing within the team.
  • Stay up-to-date with the latest advancements in KDB+/Q technologies and relevant tools.
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