

Coltech
Splunk Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Splunk Developer (Technical Lead) in Edinburgh (Hybrid – 2 days onsite), offering a contract position. Pay rate is unspecified. Requires 4–8+ years in Splunk, strong SPL and Python skills, and ITSI service model experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 9, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Edinburgh, Scotland, United Kingdom
-
🧠 - Skills detailed
#Indexing #Monitoring #"ETL (Extract #Transform #Load)" #Observability #Splunk #Programming #Data Engineering #Datasets #Data Pipeline #Anomaly Detection #Data Normalization #Python #Normalization #Data Lifecycle #Macros #Deployment #Scala #Automation #Data Processing #Cloud #Data Ingestion #Scripting
Role description
Splunk Developer – Technical Lead (ITSI)
Location: Edinburgh (Hybrid – 2 days onsite per week)
Contract Role
Job Title: Splunk Cloud & IT Service Intelligence (ITSI) Engineer – Advanced Engineering Focus
We are seeking a highly skilled Splunk Cloud & ITSI Engineer with strong software engineering and coding capability to design, build, and maintain enterprise-grade observability, analytics, and service health platforms.
This is a hands-on engineering role, requiring strong depth in Splunk SPL development, automation, data engineering, and scripting/programming to build scalable monitoring solutions across a complex enterprise environment.
The role combines ITSI service modelling, advanced SPL development, automation engineering, and Splunk Cloud platform administration, with a strong emphasis on engineering-quality solutions rather than configuration-only work.
Key Responsibilities
1. ITSI Service Engineering & Development
• Design and implement ITSI service models including service trees, dependencies, KPIs, and health scoring frameworks.
• Develop advanced KPI logic using complex SPL, scripted inputs, and custom calculations.
• Build adaptive thresholds, SLO-based indicators, and golden signal-based monitoring.
• Engineer correlation logic to detect service degradation and performance anomalies.
1. Advanced SPL Development & Engineering
• Write complex, production-grade SPL queries for dashboards, alerting, correlation searches, and analytics.
• Optimise SPL performance through query refactoring, acceleration, and search-time tuning.
• Develop reusable SPL macros, modular search components, and reusable knowledge objects.
• Debug and enhance large-scale distributed search workloads.
1. Automation, Scripting & Integration Engineering
• Develop automation scripts (Python or similar) to support data ingestion, enrichment, and ITSI workflows.
• Build integrations between Splunk and external systems using APIs, webhooks, and automation frameworks.
• Engineer data pipelines and transformation logic for observability datasets.
• Support event-driven automation and remediation workflows.
1. Splunk Cloud Engineering & Platform Support
• Support Splunk Cloud architecture including ingestion pipelines, HEC, forwarders, and deployment servers.
• Manage CIM alignment, data normalization, and structured onboarding of complex data sources.
• Implement RBAC models, index strategies, and data lifecycle management.
• Optimise platform performance, search concurrency, and workload management.
1. Observability & Analytics Engineering
• Build real-time dashboards using SPL, data models, and accelerated datasets.
• Develop predictive monitoring using MLTK and anomaly detection techniques.
• Integrate logs, metrics, and events into unified observability views.
• Implement alerting frameworks with intelligent suppression, routing, and enrichment.
1. ITSI Operations & Service Health Intelligence
• Configure NEAP policies to reduce noise and improve signal quality.
• Build Glass Tables, Service Analyzer views, and executive dashboards.
• Design service degradation detection models and incident correlation logic.
• Integrate ITSI outputs with ITSM and CMDB systems.
Required Skills & Experience
• 4–8+ years of hands-on experience in Splunk Enterprise / Splunk Cloud engineering environments
• Strong software engineering mindset with hands-on coding/scripting ability (Python or equivalent preferred)
• Expert-level proficiency in SPL (including complex, multi-stage queries and optimisation)
• Strong experience designing and building ITSI service models and KPIs
• Experience with automation, APIs, and scripting for integration and data processing
• Deep understanding of observability principles (logs, metrics, traces, golden signals)
• Experience with Splunk Cloud architecture including ingestion, indexing, RBAC, and performance tuning
• Strong troubleshooting skills across search performance, ingestion pipelines, and distributed systems
• Experience with MLTK, anomaly detection, or predictive analytics in observability contexts
Preferred Skills
• Python or similar scripting language for automation and integrations
• Experience with CI/CD pipelines for observability or monitoring platforms
• Splunk certifications (Admin, ITSI Admin, Architect preferred)
• Experience working in large-scale enterprise or regulated environments
Splunk Developer – Technical Lead (ITSI)
Location: Edinburgh (Hybrid – 2 days onsite per week)
Contract Role
Job Title: Splunk Cloud & IT Service Intelligence (ITSI) Engineer – Advanced Engineering Focus
We are seeking a highly skilled Splunk Cloud & ITSI Engineer with strong software engineering and coding capability to design, build, and maintain enterprise-grade observability, analytics, and service health platforms.
This is a hands-on engineering role, requiring strong depth in Splunk SPL development, automation, data engineering, and scripting/programming to build scalable monitoring solutions across a complex enterprise environment.
The role combines ITSI service modelling, advanced SPL development, automation engineering, and Splunk Cloud platform administration, with a strong emphasis on engineering-quality solutions rather than configuration-only work.
Key Responsibilities
1. ITSI Service Engineering & Development
• Design and implement ITSI service models including service trees, dependencies, KPIs, and health scoring frameworks.
• Develop advanced KPI logic using complex SPL, scripted inputs, and custom calculations.
• Build adaptive thresholds, SLO-based indicators, and golden signal-based monitoring.
• Engineer correlation logic to detect service degradation and performance anomalies.
1. Advanced SPL Development & Engineering
• Write complex, production-grade SPL queries for dashboards, alerting, correlation searches, and analytics.
• Optimise SPL performance through query refactoring, acceleration, and search-time tuning.
• Develop reusable SPL macros, modular search components, and reusable knowledge objects.
• Debug and enhance large-scale distributed search workloads.
1. Automation, Scripting & Integration Engineering
• Develop automation scripts (Python or similar) to support data ingestion, enrichment, and ITSI workflows.
• Build integrations between Splunk and external systems using APIs, webhooks, and automation frameworks.
• Engineer data pipelines and transformation logic for observability datasets.
• Support event-driven automation and remediation workflows.
1. Splunk Cloud Engineering & Platform Support
• Support Splunk Cloud architecture including ingestion pipelines, HEC, forwarders, and deployment servers.
• Manage CIM alignment, data normalization, and structured onboarding of complex data sources.
• Implement RBAC models, index strategies, and data lifecycle management.
• Optimise platform performance, search concurrency, and workload management.
1. Observability & Analytics Engineering
• Build real-time dashboards using SPL, data models, and accelerated datasets.
• Develop predictive monitoring using MLTK and anomaly detection techniques.
• Integrate logs, metrics, and events into unified observability views.
• Implement alerting frameworks with intelligent suppression, routing, and enrichment.
1. ITSI Operations & Service Health Intelligence
• Configure NEAP policies to reduce noise and improve signal quality.
• Build Glass Tables, Service Analyzer views, and executive dashboards.
• Design service degradation detection models and incident correlation logic.
• Integrate ITSI outputs with ITSM and CMDB systems.
Required Skills & Experience
• 4–8+ years of hands-on experience in Splunk Enterprise / Splunk Cloud engineering environments
• Strong software engineering mindset with hands-on coding/scripting ability (Python or equivalent preferred)
• Expert-level proficiency in SPL (including complex, multi-stage queries and optimisation)
• Strong experience designing and building ITSI service models and KPIs
• Experience with automation, APIs, and scripting for integration and data processing
• Deep understanding of observability principles (logs, metrics, traces, golden signals)
• Experience with Splunk Cloud architecture including ingestion, indexing, RBAC, and performance tuning
• Strong troubleshooting skills across search performance, ingestion pipelines, and distributed systems
• Experience with MLTK, anomaly detection, or predictive analytics in observability contexts
Preferred Skills
• Python or similar scripting language for automation and integrations
• Experience with CI/CD pipelines for observability or monitoring platforms
• Splunk certifications (Admin, ITSI Admin, Architect preferred)
• Experience working in large-scale enterprise or regulated environments






