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Clerkenwell Close, Clerkenwell
£45,000 - 70,000
Requirements
Must:
- Strong commercial experience as a KDB+/Q Developer within a financial services environment (investment banking, hedge fund, or similar).
- Deep understanding and extensive experience with KDB+ and Q language for handling time-series data.
- Proven track record of designing and implementing high-performance, low-latency KDB+ systems.
- Experience with tick data capture and analytics platforms.
- Solid understanding of financial markets, asset classes (e.g., Equities, FX, Fixed Income), and market data concepts (e.g., order books, trades).
- Proficiency in designing and developing complex microservices based on business requirements.
- Experience with building production-quality infrastructure.
- Strong analytical and problem-solving skills, with a detail-oriented and results-driven approach.
- Excellent communication skills, both written and verbal, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
- Experience with version control systems (e.g., Git).
Highly Desirable:
- Experience with Python for data analysis, scripting, and integration with KDB+.
- Familiarity with other programming languages (e.g., C++, Java).
- Experience with cloud platforms (e.g., Azure, AWS, GCP) for KDB+ deployments or related data solutions.
- Knowledge of automation tools and CI/CD pipelines.
- Experience with modern data visualization tools (e.g., PowerBI, Tableau).
- Understanding of various software development methodologies (Agile, Scrum).
- A degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
Responsibilities
- Design, develop, and implement robust and efficient KDB+/Q applications for ingesting, storing, analyzing, and serving high-frequency market data.
- Work closely with traders, quantitative analysts, and other technology teams to understand business requirements and translate them into technical solutions.
- Optimize KDB+ performance for data capture, querying, and analysis, focusing on low-latency and high-throughput environments.
- Develop and maintain KDB+ tick plant architectures, historical databases, and real-time streaming solutions.
- Contribute to the full software development lifecycle, including design, coding, testing, deployment, and ongoing support.
- Build and enhance APIs and visualization layers to enable business users to access and interact with KDB+ data effectively.
- Troubleshoot and resolve production issues in a real-time trading environment, ensuring system stability and data integrity.
- Participate in code reviews, promote best practices in KDB+/Q development, and contribute to a culture of continuous improvement.
- Explore and integrate new technologies (e.g., cloud platforms like Azure, AWS, GCP, Python) to enhance KDB+ capabilities and expand data services.
- Mentor and provide technical guidance to junior developers within the team (for senior roles).
Description
We are a leading global investment bank at the forefront of financial technology innovation. We leverage cutting-edge data platforms and advanced analytics to power our high-frequency trading strategies, risk management, and market insights. Our collaborative environment fosters continuous learning and empowers our engineers to solve complex, real-world problems in a dynamic, fast-paced setting. If you are a driven and experienced KDB Developer looking for a challenging role in a leading financial institution, we encourage you to apply. We celebrate and embrace diversity and are dedicated to creating an inclusive environment for our employees and applicants. All backgrounds and experiences are welcomed and encouraged in our recruitment process.
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The company with most openings is DataAnnotation as they are hiring for 52 different Database Engineer jobs in the UK. They are probably quite committed to find good Database Engineers.
The company with most openings is DataAnnotation as they are hiring for 52 different Database Engineer jobs in the UK. They are probably quite committed to find good Database Engineers.