InfluxDB Experts in Germany
in minutes from over 15,000 CVs with the power of AI.Hire experts who design time-series data models, tune InfluxQL and Flux queries, and keep metrics, logs, and events flowing cleanly through InfluxDB. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used InfluxDB
Ornel Franck Wora Yeno
Last position:
Purchasing Manager, Logistics & IT Manager at Onlinehandler
Proactive support of management in business field development & innovation management
New development of a suite of business applications for analyzing valuation, P&L, and market price risk data
Automation of all internal and external business and work processes
Development of AI-based and AI-supported ETL processes as well as data analysis
Business use-case development
Business and work process optimization
Enterprise architecture management
Sales data analysis and forecasting as well as capture
Inventory management & reordering
Supplier management and communication
Customs processing & clearance
Shipping handling & warehouse coordination
Interface management
Technologies used: Microsoft Office 365, Microsoft Teams, JTL-Wawi, JTL-WMS, OTTO Partner Connect (OPC), Amazon Seller Central, DHL Global Forwarding, Jira, Draw.IO, Java (8,17,21,25), Jenkins, SonarQube, Git, Gitea, Spring Boot, Spring Batch, Vaadin, H2, PostgreSQL, Docker, Local LLMs, Postman, JasperSoft Studio, JasperReports
Frédéric Klein
Last position:
Project Manager (Enterprise Cloud Governance) at CompuGroup Medical SE & Co. KGaA
Short description: Leading a group-wide project to establish standardized cloud governance for Microsoft Azure, including policies, security and compliance controls, automation, and cost and operations management while preserving the autonomy of decentralized business units within regulatory frameworks.
Tasks and activities:
Overall responsibility for designing, building, and implementing a company-wide cloud governance structure (Azure), including target picture, roadmap, and operating model.
Managing internal and external stakeholders (C-level, IT, Security, Compliance, Cloud Architecture, DevOps), including decision and escalation management.
Planning and facilitating workshops on cloud strategy, governance principles, and the design of areas such as identity, connectivity, and platform management.
Defining, implementing, and rolling out cloud policies (Azure Policy / custom policies), security standards, and compliance requirements (including GDPR, ISO 27001, BSI C5).
Building a cloud governance framework based on the Azure Cloud Adoption Framework (CAF), including landing zone and guardrail concepts.
Introducing automation solutions for governance, security, and cost control (policy/control automation, IaC, CI/CD-based control mechanisms).
Implementing cloud security and compliance monitoring mechanisms as well as continuous improvement processes.
Establishing and operationalizing FinOps in an enterprise environment (central and decentralized FinOps teams), including cost management strategies, reporting, and guardrails.
Integrating governance policies into DevOps processes (e.g. CI/CD principles for security and compliance checks, GitLab Runner concept in spokes, GitLab CI/CD for CAF landing zones).
Implementing access concepts including RBAC design and breaking-glass mechanisms (emergency access) as well as certificate automation (ACME / step-ca).
Achievements:
Created a unified, auditable governance and control set for Azure (policies, standards, compliance mapping) and thus laid the foundation for scalable cloud use in a regulated environment.
Established repeatable automation for governance, security, and cost control (IaC + CI/CD), reducing manual effort and implementation risk.
Improved operational and decision-making capability across central and decentralized units (clearer roles, responsibilities, escalation paths, balance between autonomy and group requirements).
Significantly increased workload compliance during lift-and-shift migrations.
Technologies used:
Microsoft Azure Policy, custom policies.
Terraform, OpenTofu, Terragrunt.
step-ca (ACME).
Entra ID.
Azure Firewall.
Azure Networking, hub-and-spoke architecture.
Azure vWAN (evaluation).
Azure Front Door, Azure Application Gateway.
Azure ExpressRoute.
Azure Key Vault.
NetBox.
GitLab (on-premises).
Infrastructure, concepts used:
Cloud shared responsibility model.
Hub-and-spoke connectivity / central shared services (from hub-spoke context).
Central governance with decentralized delivery (business unit autonomy with guardrails).
Methods used:
Scrum.
Stakeholder management (C-level to engineering).
Cloud governance, Azure Cloud Adoption Framework (CAF).
DevOps, CI/CD.
Cost and FinOps approaches: tagging/chargeback models, budget/alert concepts, reserved instances/savings plans vs. on-demand scenarios, sensitivity analyses.
RBAC, breaking-glass concepts.
ACME / certificate automation.
GitLab Runner concept in spokes, GitLab CI/CD pipelines for CAF landing zones.
Sarvesh Lunia
Last position:
Data Analytics for Renewable Energy Integration at Harz University
- Created data pipelines and visualization tools to support sustainable energy decision-making
- Developed insights that could optimize renewable energy deployment and grid integration strategies
Daniel Sedlack
Last position:
Senior Software Engineer at energielenker solutions GmbH
- Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
- Defined time-based and dependency-based jobs
- Deployed to managed Kubernetes clusters using Helm
- Integrated InfluxDB Cloud
- Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
- Developed dashboards and visualizations in Grafana
- Developed unit tests with mocking using pytest
- Set up a CI/CD pipeline in GitLab
Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud
Matthias Weiss
Last position:
DevOps Engineer at Interhyp AG
- Infrastructure management with Puppet and Terraform for consistent environments
- Maintenance and adaptation of Terraform scripts for Azure cloud deployment
- Migration of database systems and services to the Azure cloud
- Introduction of GitOps with ArgoCD for fully automated deployments
- Adaptation and development of GitHub pipelines for CI/CD workflows
- Creation of Helm Charts for standardized deployments
- Migration of repositories from Bitbucket to GitHub
- Operation and performance optimization of an Oracle 19c grid cluster (RAC, Dataguard)
- Setup and management of MongoDB instances (on-premise and Azure Kubernetes)
- Setup of PostgreSQL clusters in on-premise and Azure Kubernetes environments
- Migration of services, master data, and stored procedures from Oracle to PostgreSQL
- Troubleshooting and performance tuning of complex data infrastructures
- Installation, configuration, and upgrade of Tableau in the productive BI environment
- Development of sanity checks to monitor business processes and application logic
- Adaptation of the backup and recovery strategy to new requirements
- Carrying out disaster recovery and point-in-time recovery
- Technologies used: Oracle 19c RAC Grid Dataguard, PostgreSQL 16, MongoDB, MySQL Cluster, Kubernetes (Azure), Tableau, Puppet, Terraform, ArgoCD, GitHub/Bitbucket, CheckMK, Prometheus, Grafana, Icinga2, Ubuntu/RHEL
Jozsef Ferincz
Last position:
IT project management, introduction of AI-supported software development
- Industry: software manufacturer
- Tasks: project management; tracking and coordination of projects; stakeholder management; change management; prioritization of requirements; alignment of architecture; supplier management (internal and external); release management; monitoring defect resolution with the teams; AI-supported software development, software testing and code analysis; AI prompting, prompt engineering
- Software: Jira, Confluence, MS Project, MS Teams
- Environment: IT, software development, agile, artificial intelligence (AI)
Martin Bausewein
Last position:
IT Architect at NDA Defense Industry
- Assessment of a modernization concept for IT infrastructures including client workstations
- Development of an alternative concept focusing on data sovereignty and reducing provider dependencies
- Selection of suitable alternative open-source products and solutions
- Design of a proof of concept approach for incremental evaluation of the options
Reginald Leonczuk
Last position:
ERP System Redesign (web-based)
PHP and React redesign of a web-based ERP system.
- Development of the header and parts of the navigation
- Development of various modules in React, e.g. calendar, chat, and various tables
Kai-Uwe Petzhold
Last position:
Technical Project Management at CHG Meridian AG
- CHG Meridian AG is a financial company focused on leasing in the areas of IT technology, logistics and medical technology and is regulated by BaFin. One part of the company is Return to Remarketing, where devices delivered to the technology center (notebooks, smartphones, tablets, etc.) are prepared for resale. The project I supported was responsible for enabling damage assessment of returned lease devices, documenting them visually in the form of pictures, enabling invoicing for the customer, and making the pictures available via the in-house customer platform. This was achieved through a combination of in-house development within the internal development department and the use of SaaS products. The second project was the transition of SaaS tendering software, purchased by the business unit, into the operations of the CHG IT department. Evaluation of security questions in relation to BaFin requirements, development of an authorization concept, implementation of single sign-on, documentation of the application in the CHG systems (CMDB, iKnow, etc.) and handover into operations.
Used technologies and methods: NIS2, DORA, agile software development, Scrum, Kanban, ServiceNow, SaaS, MS Teams, MS SharePoint, Active Directory, Entra ID, CMDB, incident management, change management, request management, service level agreement
Vitaliy Ryumshyn
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
Moritz Freyburger
Last position:
AWS Developer/DevOps Engineer (Energy Trading) at RWE Supply & Trading GmbH
- Further development and partial new development of a distributed cloud application for providing data in energy trading
- Independent implementation of the infrastructure (IaC)
- Creation of automated CI/CD pipelines, containers, REST APIs, and Lambdas
- Continuous cost and performance optimization
- Collaboration in an international Scrum team and with experts in energy trading
- Technologies: C#/ASP.NET Core; EF Core; PostgreSQL; Terraform/AWS CloudFormation; HTTP; REST/Web API; Swagger/OpenAPI; Azure DevOps; Rider; VS Code; git; Docker; AWS (S3, EC2, Fargate, Lambda, Step Functions, Secrets Manager, VPCs, ALB/NLB, RDS, Cloudwatch, AWS CLI, Amazon MQ); Redis; OAuth; OpenID Connect
- Languages: C#; TypeScript; HCL; Docker; Bash; PowerShell; YML; JSON
Patrick Eichler
Last position:
Honorary Lecturer at SRH University Berlin
- Cloud Computing Fundamentals & Architecture: Expertise in core cloud concepts, including the three main Service Models (IaaS, PaaS, SaaS) and diverse Deployment Models (Public, Private, Hybrid, Multi-cloud).
- Modern Application Deployment Strategies (GCP Focus): Instruction on the GCP Application Hosting Spectrum, covering Virtual Machines, Containers (Kubernetes and Cloud Run), Platform as a Service (App Engine), and Serverless Computing (Functions as a Service - FaaS).
- Data Management & Big Data Analytics: Comprehensive coverage of Cloud Storage options (Object, Block, File) and Database solutions, including Relational (Cloud SQL), NoSQL (Firestore, BigTable, Memorystore), and serverless enterprise data warehousing (BigQuery).
- DevOps and Infrastructure Automation: Skills in DevOps principles, including Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC) using tools like Terraform, and implementing effective Monitoring and Logging for system observability.
- Emerging Technologies & Responsible Cloud Use: Focus on crucial topics like Cloud and IoT Security, Identity and Access Management (IAM), data privacy, and the ethical considerations of cloud and massive data collection.
Hüseyin Korkut
Last position:
Senior Full-Stack Engineer at DVAG
Architecture and implementation of a fully digitalized closing flow for managing securities contracts within the DVAG infrastructure. The platform aims for maximum user-friendliness, modular extensibility and compliant handling of sensitive data.
Implementation of a reactive UI structure with a focus on user guidance & accessibility.
Dynamic control of form and closing processes including validation logic.
Reactive state management via SignalStore (signals + selective effects).
UX optimization through adaptive components and Playwright-based UI tests.
Backend modularization to connect existing sales and contract logic.
API stability and DTO design according to Clean Architecture principles.
Collaboration with domain teams to define technical contracts and service boundaries.
Management with GitHub.
Unit tests with Jest, E2E tests with Playwright.
Code reviews, CI-integrated test execution, iterative refactorings.
Ensuring high coverage and UI stability in the closing flow.
Technologies: Angular 18, RxJS, SignalStore, HTML5, SCSS, Spring Boot, Kotlin, REST, OAuth2, Jest, Playwright, Clean Architecture.
Christian Hunkirchen
Last position:
Developer at Opereon Consulting GmbH
- Developed a shop website
- Integrated an AI language model
- Developed tools for AI-powered webhooks
- Technical tools: REACT.js; Elevenlabs; MCP; n8n; HTTP
Peter Teich
Last position:
Freelance Go-Developer/DevOps-Engineer at IONOS SE
- Implementation of an API for customers to provide NFS shares in the cloud
- Creating Kubernetes operators and services with REST APIs in Go
- Using LinuxKit for provisioning VMs
Discover over 15,000 top freelancers
Statistics of experts using InfluxDB
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2 years
Positions per freelancer
15
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Product Development, Operations
Bachelor's degree or higher
80%
Master's degree or higher
57%
Doctorate
10%
Certifications per freelancer
3
Most common languages
German, English, French
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 InfluxDB
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
What it is
InfluxDB is a time-series database built for data that changes over time. Companies use it to store metrics, sensor readings, application events, and operational traces in a structure that stays fast to query and easy to retain.
Typical uses
- Infrastructure and application monitoring
- IoT and industrial telemetry
- Event tracking and analytics
- Alerting and dashboarding
- Retention and downsampling pipelines
Ecosystem
InfluxDB often appears with Telegraf, Chronograf, and Kapacitor in the older TICK stack, or with modern collectors and dashboard tools around it. Strong specialists know line protocol, retention policies, continuous queries, and the trade-offs between InfluxQL and Flux.
When to bring in help
Teams usually look for freelance InfluxDB experts when a metrics store becomes slow, queries get hard to maintain, or a new platform needs clean time-series design. In Germany, this often comes up in manufacturing, energy, logistics, and SaaS teams that need remote support or on-site help in English or German.
What strong specialists do
A strong InfluxDB professional turns noisy data into a stable model that is easy to query and alert on. They also handle migrations, schema choices, retention tuning, and integration with monitoring or observability tooling.
What good work looks like
Good InfluxDB work is clear, predictable, and easy to operate. The best specialists write queries that other experts can understand, keep tag and field usage disciplined, and make sure dashboards, alerts, and retention rules match real business needs.
Frequently asked questions
The facts hiring teams ask for most often when it comes to InfluxDB.
InfluxDB is used for time-series data: metrics, sensor values, events, and other data points that arrive over time. Companies use it when they need fast writes, efficient retention, and queries built around time windows rather than business records.
InfluxDB and Prometheus both work with metrics, but they are used differently. Prometheus is strongest for scraping operational metrics and alerting, while InfluxDB is often chosen when teams need broader time-series storage, custom retention, and more flexible data ingestion.
A strong InfluxDB specialist should know time-series modeling, InfluxQL or Flux, and how tags and fields affect query performance. It also helps if they understand collectors like Telegraf, dashboard tools, alerting, and how the database fits into a wider observability stack.
A small dashboard or ingestion fix may only need a focused InfluxDB expert. Larger work, such as redesigning retention, migrating old data, or rebuilding a metrics pipeline, needs someone who has handled production workloads and understands the operational edge cases.
Yes, most InfluxDB work can be done remotely, especially if the expert can review schema, queries, and deployment settings from access to the system. For plant floors, lab systems, or regulated environments in Germany, a hybrid setup can help when local context matters.
Look for a InfluxDB freelancer who can explain why they chose specific tags, retention rules, and query patterns. Good specialists leave behind clean dashboards, clear naming, and a design that avoids expensive queries and data growth surprises.
InfluxDB is still known through the TICK stack, even though many teams now use only parts of that older setup. A good specialist will understand Telegraf, Chronograf, and Kapacitor, but will also know modern integrations and how to replace older pieces when needed.
InfluxDB work often goes with monitoring tools, alerting systems, container platforms, and data collectors. In industrial or IoT projects, specialists may also need to understand devices, gateways, and how to keep data quality stable from source to storage.
The average hourly rate of freelancers in Germany who have used InfluxDB in their recent projects is 102 €, which corresponds to a daily rate of about 818 € based on an 8-hour working day.
Of the freelancers in Germany who have used InfluxDB in their recent projects, 80% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Germany who have used InfluxDB in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Germany who have used InfluxDB in their recent projects are German (100%), English (100%), and French (23%).
The most common industries among freelancers in Germany who have used InfluxDB in their recent projects are Information Technology (100%), Banking and Finance (55%), and Manufacturing (50%).
The most common business areas among freelancers in Germany who have used InfluxDB in their recent projects are Information Technology (100%), Product Development (82%), and Project Management (70%).
Main locations of FRATCH Experts, who have recently used InfluxDB
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
