KDB Developer — Global Finance Data & Insight Expert

EPAM Systems

Dublin

On-site

EUR 90,000 - 130,000

Full time

13 days ago
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Benefits offered by this job

Private Healthcare Package
Pension
Employee Assistance Programme
Enhanced Maternity policy
Group Life Protection Benefit
Give as You Earn
Cycle to Work Scheme
Employee Referral Bonus Scheme
Diversity Networks
Access to a range of skills and certs

Job summary

EPAM Systems is seeking a skilled KDB Developer in Ireland to join our team. The role focuses on delivering advanced data solutions for global financial institutions, leveraging KDB+/Q for time-series data and analytics.

You will collaborate with clients and colleagues to design, implement, and deploy high-performance solutions, while continually expanding toolchains and knowledge of the KX stack.

Qualifications

  • 3+ years in a software engineering role using KDB+/Q.
  • Strong academic background in business, finance, engineering, mathematics, science, or technology.
  • Track record of developing software solutions in Java, C++, or Python.
  • Experience with deployment tools such as Jenkins or TeamCity.
  • Self-starter who is proactive and eager to learn new tools and technologies.

Responsibilities

  • Work with global clients as part of the kdb+ consulting practice.
  • Act as Subject Matter Expert for KX product installations and customization.
  • Contribute to the software development lifecycle from design to deployment.
  • Interact with users to understand requirements and provide training.
  • Support users with accessing and querying data.

Skills

KDB+/Q
Java
Python
C++

Education

Bachelor's degree in business/finance/engineering/mathematics/science/tech

Tools

Jenkins
TeamCity

Job description

EPAM Systems is seeking a skilled KDB Developer in Ireland to join our team. The role focuses on delivering advanced data solutions for global financial institutions, leveraging KDB+/Q for time-series data and analytics.

You will collaborate with clients and colleagues to design, implement, and deploy high-performance solutions, while continually expanding toolchains and knowledge of the KX stack.

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