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- Tasks: Develop and optimise KDB+ applications for high-performance data processing.
- Company: Join Platinum Group, a leader in Capital Markets innovation.
- Benefits: Enjoy a collaborative culture with opportunities for professional growth and mentorship.
- Why this job: Be part of a dynamic team tackling real-time data challenges in a fast-paced environment.
- Qualifications: Knowledge of KDB+/q programming and a degree in Engineering or Computer Science required.
- Other info: Experience in finance or cloud platforms is a plus!
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. 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.
Contact Detail:
Platinum Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Developer
✨Tip Number 1
Familiarise yourself with KDB+/q programming by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also demonstrate your commitment to potential employers.
✨Tip Number 2
Network with professionals in the finance and tech industries, especially those who work with high-frequency data processing. Attend relevant meetups or webinars to make connections that could lead to job opportunities at companies like us.
✨Tip Number 3
Stay updated on the latest trends in time-series analytics and cloud technologies. Follow industry blogs, join forums, and participate in discussions to showcase your knowledge during interviews and conversations with our team.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've optimised data processing or solved complex problems. Being able to articulate your thought process and solutions will set you apart when interviewing for a role with us.
We think you need these skills to ace AWS 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 any experience in high-frequency data processing.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to develop and optimise KDB+ applications and your understanding of time-series data analysis.
Showcase Relevant Skills: Clearly outline your technical skills related to KDB+, cloud platforms, and any experience with machine learning or AI integration. Use examples to illustrate how you've applied these skills in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
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 understanding of data-intensive projects.
✨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 for query execution.
✨Communicate Effectively
Strong communication skills are essential for this position. Practice articulating complex technical concepts in a way that is easy to understand. Be prepared to discuss how you collaborate with stakeholders to translate business requirements into technical solutions.
✨Stay Current with Industry Trends
Demonstrate your passion for the field by discussing recent trends and emerging technologies related to KDB+ and time-series analytics. This shows that you are proactive about your professional development and can bring fresh insights to the team.
