kdb+ developer role posted in London

Data Intellect advertised a hybrid kdb+ Developer role in London requiring 3+ years of q language and time‑series experience, positioning it as a fit for quant software engineers. The posting points to time‑series and low‑latency data work common in trading and financial analytics teams. (x.com)

Data Intellect is hiring for a hybrid kdb+ developer role in London, adding to a live roster of kdb+ openings in major financial hubs. (dataintellect.com) The company’s careers page lists “kdb+ Developer London” at mid-senior level, alongside related roles in New York, Hong Kong, Singapore, Toronto and Belfast. Data Intellect describes itself as a specialist kdb+ and KDB-X consultancy building software for trading, surveillance and capital markets. (dataintellect.com 1) (dataintellect.com 2) The London job posting says candidates need at least two years of hands-on kdb+ development, a solid grasp of q, and experience with time-series data structures and Unix or Linux environments. It also lists large-scale time-series analysis, reporting and mentoring junior developers among the day-to-day work. (dataintellect.com) (jobs.smartrecruiters.com) kdb+ is a database built for data stamped by time, such as market prices and trades arriving every second. KX, the company behind the software, says the system combines a historical time-series database, an in-memory compute engine and a real-time streaming processor. (code.kx.com) (kx.com) The q language is the tool developers use to query and program inside kdb+. KX says q plays a role similar to Structured Query Language for traditional databases, but adds a full programming language on top of querying. (code.kx.com 1) (code.kx.com 2) That combination has made kdb+ a staple in capital markets teams that need to search huge volumes of historical prices while also handling live feeds with very low delay. KX says the platform has been used in capital markets for more than 30 years and is designed for ultra-low-latency access to real-time and historical data. (kx.com 1) (kx.com 2) Data Intellect’s own hiring language tracks that niche closely. Its careers page says the firm focuses on trading, surveillance and capital markets, and the London opening asks for the mix of q, time-series and production-style engineering that banks and market-data teams typically need. (dataintellect.com) (dataintellect.com) The posting does not list a salary band, and the company’s open-positions page shows both permanent developer roles and contract roles in London. For applicants, that means the clearest signal is not pay but the skill set: q, kdb+, Unix or Linux, and experience working with time-ordered financial data. (dataintellect.com) (dataintellect.com)

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