KQL Experts in Germany
in minutes from over 15,000 CVs with vetted, available specialists.Hire experts who write precise KQL queries, tune Azure Data Explorer and Log Analytics searches, and build reliable threat-hunting and observability workflows, with fast, precise matching to vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used KQL
Baris Ekici
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 Omojoye
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 Komarov
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 Grevenkamp
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 Fischer
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 Simann
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 Haberkorn
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 Katzer
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 Debrezion
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 Thiemer
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
15 years
Position duration
2.6 years
Positions per freelancer
11
Top business areas
Information Technology, Business Intelligence, Operations
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
83%
Master's degree or higher
33%
Certifications per freelancer
3
Most common languages
German, English, Russian
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
KQL in practice
KQL, short for Kusto Query Language, is the query language used across Microsoft data and security services. Companies use it to search logs, inspect events, and turn large telemetry sets into clear answers.
Where it is used
- Azure Data Explorer for fast log and event analysis
- Microsoft Sentinel for security hunting and incident investigation
- Azure Monitor and Log Analytics for operational troubleshooting
- Custom dashboards and alert queries for teams that need live visibility
What strong specialists deliver
A strong KQL specialist writes readable queries that return the right data fast. They know how to filter, join, summarize, extend, and shape results so teams can act on them.
They also understand schema design, time-series patterns, and how to reduce query cost without losing signal.
Ecosystem knowledge
KQL work often sits inside the Microsoft stack, especially Azure Data Explorer, Sentinel, and Monitor. Experts who know this ecosystem can move between security, platform, and operations work without losing context.
They are also familiar with ingestion patterns, retention choices, and how query design affects downstream alerts and reports.
When companies bring in help
Companies usually look for freelance KQL professionals when queries have become slow, messy, or hard to trust. The same is true when a security team needs better detections or an operations team needs clearer telemetry views.
In Germany, this often happens in cloud-led teams that want short remote engagements, while keeping close communication for sensitive monitoring work.
Good signals to look for
- Clear examples of hunting, troubleshooting, or dashboard queries
- Comfort with Azure services and log data models
- Ability to explain query logic in simple terms
- Experience improving existing queries, not only writing new ones
- Awareness of alert quality, false positives, and maintainability
Frequently asked questions
Need clarity? These are the questions we hear most often about KQL.
KQL is used to query logs, telemetry, security events, and operational data in Microsoft environments. Teams rely on it to investigate incidents, build dashboards, hunt threats, and understand what changed in a system. It is especially useful when the data is large, time-based, and needs fast filtering.
No. KQL is built for exploratory log and event analysis, while SQL is centered on relational tables and transactional data. KQL feels different because it is optimized for searching, summarizing, and analyzing time-series and telemetry data. If your project is mainly in Azure Monitor, Sentinel, or Azure Data Explorer, KQL is usually the better fit.
KQL is most often used with Azure Data Explorer, Microsoft Sentinel, Azure Monitor, and Log Analytics. A specialist who knows these tools can connect query design with ingestion, alerting, and investigation workflows. That matters when the query is only one part of a larger monitoring or security setup.
A strong KQL freelancer writes queries that are correct, fast, and easy to maintain. They should be able to explain why a query works, adjust it for new data sources, and improve it when the result set is too noisy or too slow. Good specialists also think about how queries will be used by other teams.
It depends on the task. A small query cleanup may need only a focused KQL specialist, while security hunting, alert tuning, or multi-workspace monitoring usually needs someone who has worked with Azure services and real production data. The more important the query is for operations or security, the more value comes from deeper experience.
Yes, most KQL work can be done remotely because the core tasks are query design, review, and troubleshooting. In Germany, many teams still prefer a short on-site start when the work touches security operations or sensitive telemetry. After that, remote collaboration usually works well if access and communication are clear.
Look for Azure knowledge, log analytics, security investigation, and dashboard thinking around KQL. Depending on the project, familiarity with Sentinel, Azure Data Explorer, data ingestion, and incident response can be important. For reporting-heavy work, the ability to shape data for non-technical readers helps a lot.
Ask for examples that show how KQL was used in a real problem, not just basic syntax. Strong specialists can discuss query performance, explain trade-offs, and show how they handled noisy data or changed schemas. A clear review of one past query often says more than a long list of tools.
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 763 € based on an 8-hour working day.
Of the freelancers in Germany who have used KQL in their recent projects, 83% hold at least a Bachelor's degree and 33% hold at least a Master's degree.
On average, freelancers in Germany who have used KQL in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Germany who have used KQL in their recent projects are German (100%), English (100%), and Russian (40%).
The most common industries among freelancers in Germany who have used KQL in their recent projects are Information Technology (100%), Banking and Finance (60%), and Professional Services (40%).
The most common business areas among freelancers in Germany who have used KQL in their recent projects are Information Technology (100%), Business Intelligence (50%), and Operations (40%).
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
