Splunk Developer — Big Data Dashboards & Analytics

Murex; Dublin; On-site; EUR 75,000 - 110,000; Full time

Benefits offered by this job

Master Splunk one of the biggest?grows

Learning and development

Diverse and multicultural community

Job summary

Murex is a global fintech leader delivering trading, risk management and processing solutions. You will join a global team to learn fast, contribute to Splunk dashboards, and work with Big Data to meet user needs across the enterprise.

You will develop dashboards, ingest data into Splunk, and maintain Splunk clusters while collaborating with development and product teams on non‑functional requirements and release planning.

Qualifications

• Degree/Master's in Computer Science or equivalent.
• 2–3 years of relevant work experience.
• Experience with Splunk Enterprise and required Splunk certification.
• Linux experience and scripting in Python or Shell Bash.
• Programming knowledge in Python, Java, JavaScript, C/C++, Groovy.
• Relational databases and SQL proficiency.
• Willingness for international travel.

Responsibilities

• Develop and maintain Splunk dashboards and data models across teams.
• Ingest Big Data into Splunk and display results in meaningful dashboards.
• Create dashboards using Open Telemetry data (metrics and logs).
• Manage Splunk code using Perforce/Stash/Visual Studio; support CI with Jenkins.
• Collaborate with product teams to plan tests and monitor releases.
• Operate and upgrade Splunk clusters and on‑prem installations.
• Assist users and troubleshoot day‑to‑day Splunk issues.

Skills

Big Data

Splunk

Python

Shell Bash

Java

SQL

Linux

CI/CD

OpenTelemetry

Data modelling

Education

Master's in Computer Science

Tools

Perforce

Stash

Visual Studio

Jenkins

Job description

Murex is a global fintech leader delivering trading, risk management and processing solutions. You will join a global team to learn fast, contribute to Splunk dashboards, and work with Big Data to meet user needs across the enterprise.

You will develop dashboards, ingest data into Splunk, and maintain Splunk clusters while collaborating with development and product teams on non‑functional requirements and release planning.