Splunk Experts in Frankfurt
for secure observability and rapid AI-matched hiring from over 15,000 CVsHire experts who build Splunk dashboards, normalize machine data and connect security operations with reliable observability. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your project.
Meet FRATCH Experts in Frankfurt, who have recently used Splunk
Reza N.
Last position:
Senior IT-Security Expert at Teambank AG
- Completed the integration of log sources into Microsoft Sentinel, including GCP workloads – centralized consolidation of all security-relevant events from Azure and GCP environments for complete end-to-end telemetry and comprehensive compliance evidence
- Developed custom rules and use cases based on the GFG Use-Case Library and the MITRE ATT&CK Matrix to cover company-specific threats and GFG-relevant scenarios with precise, mapped detection rules
- Tuned detection rules to minimize false positives, optimized detection thresholds, and modeled exceptions – enabling the SOC to work with relevant, prioritized alerts while reducing Mean Time to Detect/Respond
- Built SOAR capabilities in Sentinel by developing playbooks to automate recurring response processes such as containment, user and host isolation, and ticketing – shorter response times and 24/7 scalability
- Designed and built a log transformation solution to normalize and enrich incoming raw logs (GeoIP, CMDB, threat intelligence) and convert them into a consistent schema for high-performance KQL queries, use case logic, and correlations
- Managed Azure security through Azure Policies to enforce security and compliance standards, prevent drift, and continuously remediate deviations
- Operated the Defender XDR portal to link endpoint, identity, email, and SaaS signals with Sentinel findings, enable holistic incident triage, and orchestrate measures directly from XDR
Technologies: Microsoft Sentinel, Microsoft Defender XDR, Azure Policy, KQL, GCP, MITRE ATT&CK
Umut G.
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Parthiban M.
Last position:
Quality Assurance Engineer at Hanon Systems GmbH
Define the QA strategy and plan for the above mentioned OEMs project.
Identify applicable processes, methods, and standards to be followed (eg, GS_95014, KGAS, ISO/IEC 15504, ISO 26262, ISO 21434, etc.).
Plan reviews, audits, and assessments as per the strategy.
Check whether the project follows defined processes (System, software, mechanical, hardware, testing, change, configuration, problem, risk etc.) as per strategy.
Provide QA support to software process: software requirement analysis, software architectural design, software detailed design and unit construction, software unit verification, software component verification and integration verification, software verification processes.
Monitor compliance with organization-wide and project-specific standards.
Verify that deviations are documented and escalated.
Review work products (requirements, design docs, test cases, code, reports (MISRA, C0, C1, coding standards), etc.).
Check compliance with standards, templates, and checklists.
Ensure that bi-directional traceability exists (e.g., requirements ↔ design ↔ tests).
Give objective evidence (not influenced by delivery pressure) during assessments.
Identify non-conformances (process not followed, missing approvals, wrong standard).
Report deviations and track them until closure.
Verify that corrective actions are implemented (5why, Ishikawa, 8D, FMEA, FTA, DFM, DRP, PCC, LLBP, PDCA).
Provide QA status reports to management and project stakeholders.
Highlight risks related to process non-compliance.
Deliver objective evidence for assessments/audits (e.g., ASPICE, ISO/IEC 15504, ISO 26262, ISO 21434, ISO_PAS_8800).
Collect and analyze QA findings.
Suggest process improvements.
Support lessons learned activities.
Achieved ASPICE Level 1 and Level 2 for multiple Audi and Mercedes-Benz projects assessments.
Basil S.
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Andreas I.
Last position:
Cybersecurity Specialist Assessor at Bundesnetzagentur
- Recognition of national notified bodies
- Preparation of cybersecurity competency reports
- EU Radio Equipment Directive
Valentin O.
Last position:
Network Architect at IT Service Provider - Public Sector
- Designed a network management strategy focused on NetDevOps principles and model-driven telemetry using YANG data models
- Conducted NETCONF/YANG workshops for L2VPN/L3VPN services over SRv6
- Automated configuration deployment in the testing environment with Ansible
- Developed end-to-end service measurement concepts with IPSLA and the Telegraf-Prometheus-Grafana stack
- Created the dual-stack architecture design (router + switch + firewall) including a detailed test plan; planned, executed, and documented acceptance tests for the management network
- Performed BSI IT baseline protection checks according to the IT-Grundschutz catalog (needs assessment, modeling, risk analysis, deriving measures)
- Protocols: SRv6, IPv6, MPLS, BGP, ISIS, OSPF, NETCONF/YANG, model-driven telemetry, IPSLA
- Systems: Cisco Crosswork Network Controller, SolarWinds Orion, Grafana, InfluxDB, Telegraf, Ansible, Git
- Components: Cisco NCS router series, Cisco Catalyst switch series, Cisco Firepower firewall series
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Jin-Ho Y.
Last position:
Server Migration Consultant at Unknown Client
- Linux server migrations: planning and execution of the migration with SLES Linux deployment of VMs in VMware 8.0
- Guiding colleagues on configuring Linux VMs with vSphere Auto Deploy
- Application operations: ensuring smooth operation of applications on migrated servers
- Operations manuals: revising existing manuals, updating and creating new ones as needed
- Reviewing service offers: adjusting and optimizing service offerings of external providers
- Logistics software, Red Hat Linux, Ansible, Confluence / Jira
Neha K.
Last position:
Team Lead | Senior Java Developer at Capgemini
- Tech Stack: Java 17, Spring Boot, Microservices, REST, GraphQL, Spring AI, Jenkins, Docker, Git/Bitbucket, JUnit, Splunk
- Led a team of 6 to deliver policy, claims, and onboarding modules serving 50k+ users, maintaining 99.9% uptime
- Cut release cycle time by 35–40% by automating CI/CD with Jenkins and Docker
- Implemented trunk-based branching in Git/Bitbucket
- Integrated 10+ REST APIs and streamlined customer workflows, boosting process automation by 40%
- Increased system stability with proactive Splunk alerting and runbooks, reducing outages by ~25%
- Driven quality with JUnit tests (92% coverage) and code reviews; enforced standards with static checks such as SonarQube
Tan P.
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Delly F.
Last position:
Dad of 2 daughters at Family
Gregor S.
Last position:
IT Project Manager at DZ Bank
- Define digitization vision and develop future IT architecture for core banking system landscape utilizing modern architecture standards
- Coordinate results with all involved stakeholders including senior management
- Define and plan comprehensive package of implementation measures
Krisztián K.
Last position:
IT-Soc/Vulnerability at ITZBund
- Vulnerability management (Greenbone, Tenable SC, Rapid7)
- Automation of vulnerability scans
- OpenTofu (Terraform)/Ansible/Vault/Podman/Docker
- Compliance audit
- SOC (ElasticSearch, Graylog)
- Python/Rust/Bash/Shell/PowerShell
- Git collaboration
- Report standardization and automation
- POC for several vulnerability scanning systems
- Setup of vulnerability scanning system
Artur S.
Last position:
Senior Consultant at MHP - A Porsche Company
Discover over 15,000 top freelancers
Statistics of experts using Splunk
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 20 years)
Position duration
1.8 years (Germany: 2 years)
Positions per freelancer
13 (Germany: 14)
Top business areas
Information Technology, Operations, Product Development
Top industries
Banking and Finance, Information Technology, Telecommunication
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
86% (Germany: 90%)
Master's degree or higher
36% (Germany: 46%)
Certifications per freelancer
8 (Germany: 5)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Frankfurt are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Frankfurt using Splunk
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Splunk experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (79%)
- Information Technology (79%)
- Telecommunication (64%)
- Automotive (57%)
- Transportation (43%)
- Manufacturing (43%)
- Government and Administration (43%)
- Professional Services (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Splunk does
Splunk collects, indexes and analyzes machine-generated data from applications, servers, networks, cloud services and security tools. Teams use Splunk Enterprise and Splunk Cloud to search events, investigate incidents, monitor services and turn operational data into clear dashboards and alerts.
Core use cases
Splunk supports observability, security operations and IT service management across complex environments.
- Detect suspicious activity and support incident response
- Trace application errors and service degradation
- Monitor infrastructure, containers and cloud workloads
- Build operational dashboards for technical and business teams
Ecosystem and tooling
Strong specialists work with SPL, data onboarding, field extraction, lookups, macros and data models. Depending on the setup, they connect Splunk with Universal Forwarder, Heavy Forwarder, HTTP Event Collector, Splunk SOAR, Splunk Enterprise Security and Splunk Observability Cloud. Familiarity with Kubernetes, AWS, Azure, REST APIs and identity systems often matters as well.
When companies bring in experts
Freelance expertise helps when a company is migrating to Splunk Cloud, redesigning its data model or reducing noisy alerts. It is also valuable for integrating new log sources, creating security content, improving license and retention decisions, or transferring knowledge to an internal team. Frankfurt-based organizations may benefit from professionals who can work on site when workshops or sensitive operations require it, while remote delivery suits configuration and analysis work.
What strong professionals deliver
A capable Splunk specialist starts with the questions the business needs to answer, not with dashboards alone. They define useful events and fields, create maintainable SPL searches, document data flows and test alerts against real operating conditions. They also understand access controls, data quality, retention, performance and the difference between a useful signal and harmless noise.
Choosing the right fit
Assess whether the professional has handled environments similar to yours, such as regulated operations, high-volume applications or security monitoring. Ask for examples of onboarding difficult sources, tuning detections and explaining findings to non-specialists. For projects in Frankfurt, clarify language expectations, working hours, remote access and any need for on-site collaboration before the engagement begins.
Frequently asked questions
What clients ask us most about Splunk — answered in short.
Splunk is used to collect and analyze logs, metrics, traces and other machine data. Companies use it for security monitoring, incident response, application observability, infrastructure monitoring and operational reporting.
Splunk Enterprise offers broad search, security and observability capabilities across many data sources. Elastic can provide more control over an open search stack, while Datadog is often valued for a tightly integrated hosted monitoring experience; the right choice depends on data, workflows, governance and existing tools.
A strong Splunk specialist often also understands Linux, networking, cloud services, Kubernetes, REST APIs and identity management. Security projects may require knowledge of SIEM processes, detection engineering and incident response, while observability work benefits from application performance and distributed tracing experience.
The right level for Splunk depends on the scope and risk of the work. A simple dashboard or data source may need focused configuration skills, while a security content redesign, cloud migration or large-scale architecture requires a professional who has delivered comparable environments and can document the decisions.
Splunk Cloud configuration, SPL development, dashboard design and much of the analysis can usually be completed remotely. On-site sessions in Frankfurt can still help with access planning, workshops, sensitive operational processes or collaboration with teams that prefer face-to-face work.
Splunk Enterprise may suit organizations that need direct control over infrastructure, data placement or custom integrations. Splunk Cloud reduces platform management, but its capabilities, connectivity requirements and governance model should be checked against the company’s security and operational needs.
Look for a Splunk professional who can explain data onboarding, SPL choices, alert logic and retention trade-offs in plain language. Ask how they validate event quality, prevent noisy detections, protect access and document a solution so the internal team can maintain it.
A Splunk specialist may deliver onboarded data sources, field extractions, saved searches, dashboards, alerting rules, security detections and operating documentation. The deliverables should connect technical signals to clear actions, ownership and measurable service or security outcomes.
The average hourly rate of freelancers in Frankfurt, Germany who have used Splunk in their recent projects is 99 €, which corresponds to a daily rate of about 794 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Splunk in their recent projects, 86% hold at least a Bachelor's degree and 36% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Splunk in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used Splunk in their recent projects are German (100%), English (100%), and French (7%).
The most common industries among freelancers in Frankfurt, Germany who have used Splunk in their recent projects are Banking and Finance (79%), Information Technology (79%), and Telecommunication (64%).
The most common business areas among freelancers in Frankfurt, Germany who have used Splunk in their recent projects are Information Technology (100%), Operations (71%), and Product Development (71%).
Main locations of FRATCH Experts, who have recently used Splunk
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Cologne 
Stuttgart 
Dusseldorf Countries:
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Philipp Thomaschewski
FRATCH CEO
