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- Tasks: Design and develop high-performance KDB+ applications for real-time data insights.
- Company: Join Platinum Group, a leader in Capital Markets innovation.
- Benefits: Enjoy flexible work with 2-3 days a month in London and opportunities for professional growth.
- Why this job: Be part of a creative team tackling exciting challenges in a fast-paced environment.
- Qualifications: Knowledge of KDB+/q programming and a degree in Engineering or Computer Science required.
- Other info: Mentorship opportunities available; ideal for those passionate about data and technology.
The predicted salary is between 36000 - 60000 £ per year.
Platinum Group are looking to expand its Capital Markets practice with the addition of a KDB+ Developer. 2-3 Days a month in London required. As a KDB+ Developer, you will play a key role in designing, developing, and maintaining cutting-edge data processing and analytics solutions, collaborating with a team of skilled professionals to build robust systems that handle high-frequency data and enable real-time insights for our clients.
Responsibilities:
- Develop and optimize KDB+ applications, ensuring high-performance data processing and analysis.
- Design and implement efficient data models and schemas for time-series data.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Conduct thorough testing and debugging of KDB+ applications, ensuring accuracy and reliability.
- Optimize query performance and data retrieval, leveraging KDB+ capabilities.
- Integrate KDB+ with external systems and data sources as required.
- Stay up to date with industry trends and emerging technologies related to KDB+ and time-series analytics.
- Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning.
Requirements:
- Knowledge of KDB+/q programming, working on data-intensive projects.
- Understanding of time-series data analysis and data modeling.
- Strong problem-solving skills and the ability to optimize code for performance.
- Excellent communication skills and the ability to collaborate effectively in a team environment.
- Bachelor's or Master's degree in Engineering, Computer Science or a related field.
Nice to Have:
- Experience in the finance industry or other domains where high-frequency data processing is critical.
- Familiarity with cloud platforms (AWS, Azure, GCP) and deploying KDB+ in a cloud environment.
- Knowledge of machine learning and AI integration with KDB+.
Join our dynamic team and work in a fast-paced environment where innovation and creativity are valued. Be part of a company that encourages professional growth, fosters collaboration, and offers exciting challenges.
KDB+ Developer employer: Platinum Group
Contact Detail:
Platinum Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land KDB+ Developer
✨Tip Number 1
Make sure to showcase your KDB+/q programming skills in any conversations you have. Be prepared to discuss specific projects where you've developed or optimised KDB+ applications, as this will demonstrate your hands-on experience and technical expertise.
✨Tip Number 2
Networking is key! Attend industry meetups or online forums related to KDB+ and time-series analytics. Engaging with professionals in the field can lead to valuable connections and insights that may help you stand out during the hiring process.
✨Tip Number 3
Stay updated on the latest trends in data processing and analytics. Being knowledgeable about emerging technologies and best practices in KDB+ will not only enhance your discussions but also show your commitment to continuous learning and professional growth.
✨Tip Number 4
Prepare to discuss how you've collaborated with stakeholders in previous roles. Highlighting your ability to translate business requirements into technical solutions will demonstrate your communication skills and teamwork, which are crucial for this position.
We think you need these skills to ace KDB+ Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with KDB+/q programming and any relevant projects you've worked on. Emphasise your problem-solving skills and ability to optimise code for performance, as these are key requirements for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Discuss how your background in data-intensive projects aligns with the responsibilities of the KDB+ Developer role, and mention any experience you have in the finance industry or with cloud platforms.
Showcase Relevant Projects: If you have worked on specific projects involving time-series data analysis or KDB+, include these in your application. Describe your role, the challenges faced, and the outcomes achieved to demonstrate your expertise.
Prepare for Technical Questions: Anticipate technical questions related to KDB+ and time-series analytics during the interview process. Brush up on your knowledge of data models, query performance optimisation, and integration with external systems to showcase your skills effectively.
How to prepare for a job interview at Platinum Group
✨Showcase Your KDB+ Expertise
Make sure to highlight your experience with KDB+/q programming during the interview. Be prepared to discuss specific projects where you've developed or optimised KDB+ applications, as this will demonstrate your technical proficiency and relevance to the role.
✨Understand Time-Series Data
Since the role involves working with time-series data, brush up on your knowledge of data modelling and analysis in this context. Be ready to explain how you would design efficient data models and schemas, as well as how you approach performance optimisation.
✨Communicate Effectively
Excellent communication skills are crucial for this position. Practice articulating complex technical concepts in a way that is easy to understand. This will help you convey your ideas clearly when collaborating with stakeholders and team members.
✨Stay Updated on Industry Trends
Demonstrate your passion for the field by discussing recent trends and emerging technologies related to KDB+ and time-series analytics. Showing that you are proactive about learning and adapting will impress your interviewers and align with the company's values.
