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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 exciting challenges.
- Why this job: Be part of a dynamic team that values creativity and innovation in tech.
- 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 Developer - AWS
✨Tip Number 1
Familiarise yourself with KDB+ and 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 passion for the technology during interviews.
✨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 referrals or insider information about job openings.
✨Tip Number 3
Stay updated on the latest trends in time-series analytics and cloud technologies like AWS. Follow industry blogs, join forums, and participate in discussions to showcase your knowledge and enthusiasm for continuous learning.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to KDB+ and data optimisation. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills, which are crucial for the role.
We think you need these skills to ace Developer - AWS
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 Strong Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Mention specific experiences that demonstrate your knowledge of time-series data analysis and your ability to collaborate effectively in a team environment.
Showcase Relevant Projects: If you have worked on data-intensive projects or have experience in the finance industry, be sure to include these in your application. Highlight how your contributions led to successful outcomes, especially in high-frequency data processing.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to KDB+, AWS, or machine learning. This shows your commitment to staying up to date with industry trends and emerging technologies, which is important for this role.
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 applications, as this will demonstrate your technical proficiency and problem-solving skills.
✨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
Strong communication skills are essential for collaborating with stakeholders. Practice articulating complex technical concepts in a way that non-technical team members can understand. This will show that you can bridge the gap between technical and business requirements.
✨Stay Current with Industry Trends
Demonstrate your passion for the field by discussing recent trends and 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 of innovation and growth.
