KQL Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used KQL
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
Baris E.
Last position:
Founder / Product & Security Architect at Pirpirik
- Perform secure code reviews and provide secure-coding guidance across the application and platform architecture.
- Engineer infrastructure security and design security-monitoring architecture, incident-response playbooks and Security-by-Design controls.
Victor O.
Last position:
AI Training Engineer at Confidential AI Research Client
- Codebase Evaluation & Problem Design: Designed and stress-tested complex software engineering problems against large open-source Python codebases (including pandas), requiring deep context acquisition and architectural understanding to produce well-scoped, realistic problem statements aligned to strict correctness guidelines.
- Agent Failure Analysis: Assessed LLM coding agent solutions for correctness and completeness, identifying meaningful failures across edge case handling, dtype behaviour, and multi-column NaN propagation logic; documented findings with precision for downstream evaluation use.
- Programmatic Test Suite Development: Authored comprehensive pytest suites to programmatically verify agent-generated solutions against defined requirements, with deliberate coverage of boundary conditions and failure modes not caught by naive implementations.
- Containerised Environment Engineering: Built and debugged Docker environments for reproducible agent execution, including git-based repository provisioning, dependency pinning with npm ci, and multi-stage Dockerfile authoring across Linux-based containers.
Sergey K.
Last position:
Managing Director Cybersecurity at CBA-Cybersecurity and Business Advisory GmbH
- Development of comprehensive services in cybersecurity, IT governance, and AI
- Building and delivering strategic security solutions such as vCISO service, ISMS, SOC-as-a-Service (SIEM, SOAR, use cases, playbooks, threat hunting, incident response), AI-driven risk and compliance tools, and frameworks for outsourcing and third-party risks
- Supporting companies in meeting regulatory requirements and certifications (ISMS, NIS-2, DORA, CRA, KRITIS, ISO 27001, TISAX, BSI IT Baseline Protection, EU AI Act)
- Promoting innovations in cybersecurity automation, AI governance, and secure digital transformation
- Responsible for company growth, client relations, and strategic partnerships
Thomas G.
Last position:
Senior .NET / Cloud Engineer at Freelance
Building an observability and alerting solution for Business Central Job Queue monitoring
- Built a central monitoring solution to track the Business Central Job Queue in a multi-organization environment in Azure DevOps
- Integrated Azure Application Insights and Log Analytics for structured collection and analysis of job runtimes and error events
- Developed KQL queries for targeted analysis of failed jobs and detection of error patterns
- Connected Grafana and Power BI to visualize operational metrics and job status in real time
- Implemented an automated alerting workflow with Power Automate – when a job fails, a notification email is sent immediately
- Ensured transparency about the state of productive background processes during live operations
Result: Full transparency over failed Business Central jobs · Clear reduction in response time through automated email alerting · Stable foundation for proactive operation of productive background processes
Technologies: Azure DevOps | Application Insights | Log Analytics | KQL | Grafana | Power Automate | Power BI | Business Central | Azure Monitor
Denis F.
Last position:
IT Security Consultant at Logistikdienstleister
- Setting up a centralized security monitoring system (SIEM)
- Integrating and onboarding log sources (Windows, network, applications)
- Developing dashboards and alert structures
- Structuring data models for efficient analysis
Michael S.
Last position:
Business Analyst & Product Owner at Deutsche Vermögensberatung (DVAG)
- Product Owner for stakeholder management, backlog prioritization and sprint organization (refinements, planning, testing, release) in agile team (8 developers, 2 testers)
- Scaled according to SAFe by introducing sub-teams and leading retrospectives for team development
- Developed central DVAG commission system from batch to near-real-time processing (Kafka) including data migration and structure hierarchy
- Specified functional, technical and quality requirements in close coordination with lead developers
- Modeled complex business processes (BPMN) and interfaces (Kafka, REST, GraphQL)
- Supported authentication (Keycloak), frontend development (Angular) and test automation (CI/CD, CDCT)
- Accompanied cloud migration of microservices to Azure; created workbooks, dashboards and KQL queries for system monitoring
- Analyzed and optimized database systems (CosmosDB, MongoDB, SQL) and reported via Power BI to manage commission competitions
- Applied industry expertise in sales and structured sales model including overseeing financial products to market release
Vitali H.
Last position:
Power BI Expert at Media Agency
The project aims to migrate the company's existing Power BI Premium environment to Microsoft Fabric. This migration includes moving the existing data models, reports, and dashboards to the new platform to take advantage of the extended features and improved performance of Microsoft Fabric. The solution will be deployed in various regions worldwide to ensure a unified and consistent reporting and analytics environment for all locations.
Requirements analysis, migration planning, data migration, adapting reports and dashboards, testing and validation, training and support, deployment and monitoring, regional rollout.
Sebastián K.
Last position:
Smart Charging at Mercedes-Benz, MBTI
Agile software development in an interdisciplinary environment
Cross-team collaboration to achieve important milestones
Independently developing new and improving existing features
Estimation, refinement, implementation, and presentation
Finding solution ideas, analyzing problems, rolling out bug fixes
Writing automated tests, manual testing, log and error analysis
Ensuring high availability, fault tolerance, and scalability of the production environment
Rolling out releases and multi-stage infrastructure
Setting up alerts and monitoring
Pair programming, code reviews, documentation
On-call duty, 3rd level support
Event-Driven Architecture, Clean Code, Hexagonal Architecture
Microservices based on Go (Gin), Java 21 (Spring Boot 3), Python (FastAPI)
Terraform/OpenTofu, KQL, SQL, JSON, REST, Helm, ArgoCD, AzureCLI, K9s, OAuth2
Postgres, Redis, Kafka, Azure EventHub, Kubernetes, nginx, Ingress
AppInsights, LogAnalytics, OpenTelemetry, Datadog, OpenAPI 3, Swagger
Azure DataExplorer, Storage, KeyVault, Container Registry, Azure Functions,…
Junit5/Jupiter, testify, RestAssured, Docker Compose, Wiremock
IntelliJ, Scrum, Kanban, Teams, Confluence, OpsGenie, Arc42
GitHub CI/CD, GitLab CI/CD, Azure DevOps
EV charging protocols (EVSE, OCPP, V1G, V2G)
Sirak D.
Last position:
Cyber Security Support Engineer at Log(N) Pacific
- Implementing secure cloud configurations with Azure Private Link, Network Security Groups, Microsoft Defender for Cloud, and Azure Regulatory Compliance for NIST 800-53, PCI DSS, and HIPAA/HITRUST, resulting in an 88% reduction in security incidents over the same period.
- Troubleshooting and supporting Microsoft Azure services, including Microsoft Sentinel (SIEM), Virtual Machines, Azure Monitor, and Azure Active Directory.
- Developing KQL queries to support the Log Analytics workspace and Microsoft Sentinel, resulting in 1 new SIEM dashboard and 4 workbooks.
Nico T.
Last position:
Managing Director and Founder at nova laboro UG (haftungsbeschränkt)
Discover over 15,000 top freelancers
Statistics of experts using KQL
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
2.5 years
Positions per freelancer
11
Top business areas
Information Technology, Business Intelligence, Operations
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
86%
Master's degree or higher
29%
Certifications per freelancer
5
Most common languages
German, English, Russian
Speak two or more languages
100%
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 Germany 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 Germany using KQL
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.
KQL experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Banking and Finance (64%)
- Automotive (36%)
- Media and Entertainment (36%)
- Professional Services (36%)
- Energy (27%)
- Transportation (27%)
- Manufacturing (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Kusto Query Language delivers in enterprise telemetry
KQL, short for Kusto Query Language, is a read-only query language built to process massive volumes of structured, semi-structured, and unstructured data. It serves as the primary engine for analyzing streaming telemetry, infrastructure metrics, and diagnostic logs across the Microsoft cloud ecosystem.
Core operational environments for query specialists
- Security analytics and threat hunting in Microsoft Sentinel
- Application diagnostics and telemetry parsing in Azure Monitor and Log Analytics
- Large-scale big data exploration inside Azure Data Explorer (ADX)
- Incident investigation workflows within Microsoft Defender XDR
- Unified real-time intelligence feeds in Microsoft Fabric
Why organizations in Germany seek specialized talent
Enterprises across Germany manage strict data residency mandates and security compliance frameworks such as TISAX and NIS2. Organizations rely on freelance specialists to audit petabyte-scale security logs locally, configure complex detection logic, and ensure data retention policies comply with German and European privacy standards.
Practical tasks and query engineering deliverables
Experts write efficient tabular operators to filter, summarize, and aggregate real-time system events. Deliverables include custom analytic rules, automated incident response logic through Azure Logic Apps, dynamic workbooks for operations teams, and performance-tuned queries that prevent expensive cluster timeouts.
Key skills that elevate query performance
- Advanced data transformation using operators like summarize, extend, make-series, and join
- Schema parsing of dynamic JSON logs and nested forensic traces
- Query optimization techniques to minimize memory footprint and execution latency
- Deep knowledge of the Common Security Log and syslog message formats
- Integration with external threat feeds and automated remediation workbooks
Remote delivery and local collaboration standards
Most telemetry and hunting projects run smoothly via remote access through secure virtual workstations and dedicated identity tenants. Many German companies prefer specialists based within the Central European time zone who possess English proficiency alongside German language capabilities for cross-functional stakeholder reporting.
Frequently asked questions
Need clarity? These are the questions we hear most often about KQL.
KQL is used to extract insights from massive datasets of logs, metrics, and security traces. Specialists leverage it primarily within Azure Data Explorer, Azure Monitor, and Microsoft Sentinel to perform threat hunting, monitor system health, and diagnose distributed infrastructure anomalies.
Unlike traditional SQL, which uses nested clauses and handles transactional modifications, Kusto Query Language is strictly read-only and relies on a clean, piped dataflow syntax. Data flows sequentially through operators from left to right, making complex multi-stage transformations significantly easier to read and debug.
A proficient KQL specialist typically commands strong skills in Azure Monitor, Microsoft Sentinel, and Log Analytics. Familiarity with Azure Logic Apps for SOAR automation, PowerShell for administration, and visualization through Azure Workbooks or Power BI is also common.
Writing basic queries is straightforward, but drafting resource-efficient logic across billions of rows requires deep architectural knowledge. Engaging an external KQL professional accelerates security alert design, cuts cloud ingestion expenses, and resolves critical cluster execution bottlenecks immediately.
Yes, nearly all assignments involving Kusto Query Language in Germany operate remotely through role-based access control inside Azure tenants. Some regulated sectors in automotive or finance may require occasional on-site sessions for onboarding or architecture reviews.
Look for an understanding of how the Kusto engine processes data across shards. A skilled KQL expert will demonstrate strategic placement of filtering operators early in the pipe, effective use of materialized views, and proper handling of high-cardinality joins to avoid query throttling.
Yes, the core analytical mindset transfers readily. An expert familiar with KQL grasps structured log querying concepts similar to Splunk SPL or Elasticsearch Query DSL, allowing them to lead migration initiatives between telemetry systems effectively.
Threat detection projects require deep practical experience. The specialist must understand not only advanced KQL syntax but also underlying Windows event logs, network telemetry protocols, and mapped attacker tactics across the MITRE ATT&CK matrix.
The average hourly rate of freelancers in Germany who have used KQL in their recent projects is 95 €, which corresponds to a daily rate of about 757 € based on an 8-hour working day.
Of the freelancers in Germany who have used KQL in their recent projects, 86% hold at least a Bachelor's degree and 29% hold at least a Master's degree.
On average, freelancers in Germany who have used KQL in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Germany who have used KQL in their recent projects are German (100%), English (100%), and Russian (36%).
The most common industries among freelancers in Germany who have used KQL in their recent projects are Information Technology (100%), Banking and Finance (64%), and Automotive (36%).
The most common business areas among freelancers in Germany who have used KQL in their recent projects are Information Technology (100%), Business Intelligence (45%), and Operations (45%).
Main locations of FRATCH Experts, who have recently used KQL
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 Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
