

KDB+/Q Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a KDB+/Q Engineer for a 6-month contract in Central London, offering £450-500 per day INSIDE IR35. Key skills include KDB+, Q programming, data processing, ETL, and experience with time-series data.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
500
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🗓️ - Date discovered
August 6, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Programming #"ETL (Extract #Transform #Load)" #Data Ingestion #Storage #Data Storage #Data Processing #Data Analysis #Databases #Indexing
Role description
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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.