KQL Experts in Germany
for faster analytics, matched in minutes with vetted and available freelancersHire experts who query telemetry, security events and operational data with Kusto Query Language, while also connecting Azure Data Explorer, Microsoft Sentinel and related data services. FRATCH matches you quickly and precisely with vetted, available freelancers.
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
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 monitor the Business Central Job Queue in a multi-organization environment in Azure DevOps
- Integrated Azure Application Insights and Log Analytics for the 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 statuses in real time
- Implemented an automated alerting workflow with Power Automate – an email notification is triggered immediately when a job fails
- Ensured transparency into the status of productive background processes during ongoing operations
Result: Full transparency into failed Business Central jobs · Significant reduction in response time through automated email alerting · Stable foundation for the proactive operation of productive background processes
Technologies: Azure DevOps | Application Insights | Log Analytics | KQL | Grafana | Power Automate | Power BI | Business Central | Azure Monitor
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 R.
Last position:
Power BI Consultant
Focus:
Consulting in reporting and project management for Power BI
Goal:
Creation of IT application dashboards for business areas
Activities:
- Technical consulting and support in managing and coordinating an existing reporting setup
- Structured collection, analysis, and preparation of business reporting requirements
- Technical coordination with defined internal contacts
- Design and optimization of Power BI reports to improve data analysis
- Development of concepts and recommendations for the further development of an efficient and transparent reporting system
- Support in the user-friendly visualization of relevant company KPIs as a basis for decision-making
Tools/Skills: MS-PowerBI, DAX, MS-Office 365, PowerQuery M, BCS
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
17 years
Position duration
2.3 years
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
75%
Master's degree or higher
25%
Certifications per freelancer
6
Most common languages
German, English, Russian
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 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 (58%)
- Professional Services (42%)
- Automotive (33%)
- Energy (33%)
- Transportation (33%)
- Manufacturing (33%)
- Media and Entertainment (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Kusto Query Language in practice
Kusto Query Language, commonly called KQL, is a read-only language for exploring large volumes of time-series, log and event data. It is strongly associated with Azure Data Explorer, Microsoft Sentinel, Azure Monitor and Microsoft Fabric. Teams use it to filter, join, aggregate and visualize operational information without changing the underlying records.
Core workloads
KQL supports investigations and recurring analytics across technical and business data. Typical deliverables include:
- Log queries for incident analysis and root-cause investigation
- Microsoft Sentinel detection rules, hunting queries and workbooks
- Azure Monitor dashboards, alerts and service health analysis
- Azure Data Explorer models, functions and performance-tuned queries
- Fabric real-time analytics and operational reporting
Ecosystem and tooling
Strong KQL work depends on understanding the surrounding Microsoft ecosystem. Professionals often combine KQL with Azure Data Explorer clusters, Log Analytics workspaces, Microsoft Sentinel, Azure Monitor, Microsoft Fabric and Power BI. They may also use Git, CI/CD pipelines, REST APIs, Terraform or Bicep to version and deploy query-based assets.
When companies need specialists
Companies bring in freelance KQL specialists when telemetry is growing faster than internal teams can organize it, security investigations take too long or dashboards produce unreliable signals. They can define a usable data model, improve query performance, standardize naming and turn raw events into clear operational actions. In Germany, remote delivery is common, while regulated environments may still require workshops on site.
KQL versus similar languages
KQL is not one universal product label. In Microsoft environments, it usually means Kusto Query Language; in Elastic environments, KQL can mean Kibana Query Language, a focused filter syntax for Elasticsearch data. A project brief should identify the target system, because syntax, joins, aggregation, alerting and visualization options differ. SQL, SPL and PromQL may also be considered, but they serve different data models and workloads.
What strong professionals bring
Quality is visible in more than a query that returns results. Experienced professionals clarify ingestion patterns, schema design, time boundaries, cardinality and access controls before optimizing a solution. They test edge cases, explain trade-offs, document reusable functions and connect findings to alerts, dashboards or response workflows. The best specialists also communicate clearly with security, operations and data teams.
Frequently asked questions
Need clarity? These are the questions we hear most often about KQL.
Kusto Query Language (KQL) is used to analyze logs, telemetry, security events and time-series data. Companies use it for incident investigation, threat hunting, dashboards, alerts and operational reporting in services such as Azure Data Explorer, Microsoft Sentinel and Azure Monitor.
KQL can refer to Kusto Query Language in the Microsoft ecosystem or Kibana Query Language in Elastic Kibana. They are different syntaxes, so a project should name the target service and data platform before work begins.
Kusto Query Language is designed for fast exploration of append-heavy telemetry and event data, with strong time-based operators and pipeline-style analysis. SQL is often a better fit for relational transactions and normalized business data, while the right choice depends on the storage engine and reporting goal.
A strong KQL specialist may also understand Azure Data Explorer, Log Analytics, Microsoft Sentinel, Azure Monitor or Microsoft Fabric. Useful adjacent skills include data ingestion, schema design, Power BI, security operations, infrastructure as code and CI/CD.
Kusto Query Language work can be narrowly scoped, such as refining an alert or building a dashboard, or part of a broader telemetry and security program. The required depth depends on data volume, schema complexity, compliance needs and whether the specialist must design ingestion and deployment as well as queries.
KQL projects are often suitable for remote collaboration because queries, workbooks and deployment definitions can be reviewed digitally. On-site workshops may help when teams handle sensitive security data, restricted environments or complex operational processes in Germany.
A good KQL solution is readable, tested against realistic data and efficient for the target workspace or cluster. Ask the specialist to explain time filters, joins, missing data, alert thresholds, access boundaries and how the query will be maintained after handover.
Before using Kusto Query Language, clarify whether the project targets Azure Data Explorer, Microsoft Sentinel, Log Analytics, Fabric or Elastic Kibana. Confirm the data schema, retention, permissions, expected outputs, deployment process and whether the work covers investigation, reporting, detection or performance tuning.
The average hourly rate of freelancers in Germany who have used KQL in their recent projects is 93 €, which corresponds to a daily rate of about 741 € based on an 8-hour working day.
Of the freelancers in Germany who have used KQL in their recent projects, 75% hold at least a Bachelor's degree and 25% hold at least a Master's degree.
On average, freelancers in Germany who have used KQL in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Germany who have used KQL in their recent projects are German (100%), English (100%), and Russian (33%).
The most common industries among freelancers in Germany who have used KQL in their recent projects are Information Technology (100%), Banking and Finance (58%), and Professional Services (42%).
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 Product Development (50%).
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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Philipp Thomaschewski
FRATCH CEO
