KDB Developer

N Consulting

Greater London

Hybrid

GBP 120,000 - 180,000

Full time

2 days ago
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Job summary

N Consulting in London is seeking an experienced Senior KDB Developer to join our technology team. You will design, develop and maintain KDB+/q applications and data pipelines for high‑performance, low‑latency financial systems used by traders and quants.

The role requires strong hands-on experience with KDB+ and q, data modelling, real-time and historical data processing, large volumes of market data, Linux/Unix environments, and a track record in investment banking or trading environments.

Qualifications

  • Extensive experience building KDB+/q applications in finance.
  • Proven ability to model data and design real-time pipelines.
  • Experience with Linux/Unix and large-scale market data.

Responsibilities

  • Design, develop and maintain KDB+/q applications.
  • Build and optimize real-time and historical data solutions.
  • Develop data pipelines and support data ingestion processes.
  • Work with large volumes of financial and market data.
  • Collaborate with traders, quants, analysts and other tech teams.

Skills

KDB+/q
Low-latency
Real-time data
Market data
Data modelling
Data ingestion
Linux/Unix
Trading environments
Collaboration

Job description

We’reHiring|SeniorKDBDeveloper–London

AreyouanexperiencedKDBDeveloperwithastrongbackgroundinfinancialmarketsandhigh-performancedatasystems?We’relookingforaSeniorKDBDevelopertojoinaLondon-basedtechnologyteam.

  • Stronghands-onexperiencewithKDB+andq
  • Solidexperiencedevelopingandoptimisinghigh-performance,low-latencyapplications
  • Experienceworkingwithlarge-scalefinancial/marketdata
  • Strongunderstandingofdatamodelling,dataingestionandreal-timedataprocessing
  • ExperiencewithLinux/Unixenvironments
  • Strongprogrammingandproblem-solvingskills
  • StrongexperiencewithinInvestmentBanking/FinancialMarkets/Tradingenvironments
  • Design,developandmaintainKDB+/qapplications
  • Buildandoptimisereal-timeandhistoricaldatasolutions
  • Workwithlargevolumesoffinancialandmarketdata
  • Developdatapipelinesandsupportdataingestionprocesses
  • Optimisesystemperformanceandtroubleshootcomplextechnicalissues
  • Collaboratewithtraders,quants,analystsandothertechnologyteams
  • Contributetoarchitecture,designandtechnicalimprovements
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