Apache NiFi Experts in Germany
matched in minutes from over 15,000 CVs with the power of AIHire experts who design data flows, connect enterprise systems and secure real-time ingestion with Apache NiFi, NiFi Registry and the wider Apache ecosystem. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Apache NiFi
Anton P.
Last position:
Product Owner / IT Project Manager (EUDR Compliance SaaS) at Gras GmbH
- Responsible for the backlog and roadmap of a production SaaS compliance platform for the EU Deforestation Regulation (EUDR), with around 30 customers on AWS and Docker.
- Coordinated feature development and API integrations across 2 external and internal development teams.
- API integrations with the EU EUDR API and SAP.
- 70% fewer customer-reported issues, supporting ISO-27001 certification.
Florian B.
Last position:
Project Management / PMO Consultant
PMO & Project Organization Blueprint for Restructuring
Renewable Energy / Solar Equipment
Technologies / Methods: PMO setup, KPI tracking, project organization, Jira, Confluence
- Developed measures to improve management control during a restruct...
Panagiotis T.
Last position:
Senior Data Engineer Consultant at GOLDNER GmbH
- Onboarded and conducted comprehensive documentation and system analysis to assess the existing data infrastructure, facilitating rapid integration and collaboration across functional data teams (modelling, processing, reporting).
- Collaboratively defined the architecture and project structure for a central data pipeline repository, including hierarchical standards, knowledge management strategies, and role-specific responsibilities, enhancing maintainability and onboarding speed.
- Evaluated and validated open-source data routing tools (Airbyte, Apache NiFi, Dragster) for ingest and sync requirements in retail analytics, including local benchmarking and error-state testing.
- Led the design and deployment of Airbyte in Kubernetes, creating customized Helm charts, securing secrets handling, and configuring Ingress with TLS and internal DNS routing, ensuring full API and UI accessibility.
- Troubleshot and resolved Ingress controller issues, iterating through multiple stages of debugging and testing, and documented setup and replication steps for scalable reuse.
- Mapped data models to ARTS standard, supporting schema alignment for ERP and reporting use cases, and coordinated review loops to align future data processing logic.
- Drafted strategic 1-pagers comparing MinIO, Pub/Sub, and routing architectures, providing technical guidance for architectural decisions and investment planning.
- Enabled secure access and authentication mechanisms, including initial evaluation for SAML integration, cluster-level configuration reviews, and service annotation improvements.
Manuel S.
Last position:
Project Manager at Univention
Industry: digital sovereignty, public sector
Responsibilities:
- Project coordination (teams: consulting, development, testing, deployment/operations)
Products and standards:
- Jira, Confluence, Asana, Miro, Mural
- Open Source, Keycloak, Open Xchange, ownCloud
Marc M.
Last position:
Freelance Data Specialist at BrightlySoftware – A Siemens Company
- Migration of customer data from a private cloud to AWS
- Optimizing data transformation jobs and migration from Talend to AWS Glue
- Automation of all migration steps
- Used technologies: AWS, Python, Lambda, CloudFormation, SQLServer, AWS Stepfunctions, Glue, PySpark
Jorge M.
Last position:
Technical Lead / Fractional CTO at Würth GmbH
I designed and developed an AI-powered multi-tenant platform on Azure that transforms SAP process recordings into technical documentation, presentations and automated tests, processing over 15,000 process recordings for enterprise customers like Würth. I owned the architecture, the production releases and the DevOps setup. I also designed a multi-tenant system with SSO and role-based access on Azure. Implemented an MCP Server with Dynamic OAuth Authentication.
Main Tasks:
- Sprint planning and feature preparation
- Design the multi-tenant platform architecture (FastAPI, SQLAlchemy, PostgreSQL row-level security for tenant isolation)
- Develop AI pipelines with Prefect for transcription (Azure Speech API), document generation and SAP screen-recording analysis (Claude, gpt-4-mini)
- Design and implement an MCP server to expose tenant knowledge to LLM clients (Claude), with async retrieval and reranking
- Implement LLM cost tracking, rate limiting and client pooling for Anthropic/OpenAI/Azure OpenAI endpoints
- Set up CI/CD: Docker images to Azure Container Registry, GitHub Actions, Azure Static Web Apps, Alembic migrations in containers
- Manage production releases and execute live data migrations for enterprise customers
- Define engineering standards and architecture patterns for the team
Environment: Azure / Azure Foundry / Python / FastAPI / Prefect / React / PostgreSQL
Ashkan Z.
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Basem E.
Last position:
Head of Cloud & AI at VxLabs GmbH
- Led cloud and data engineering organization, defining architecture strategy for next-generation data platforms
- Designed and delivered an automotive fleet data management system including scalable ingestion pipelines, signal catalog management, and campaign processing workflows
- Built cloud-native microservices and streaming architectures supporting real-time vehicle data and AI-powered threat detection
- Established engineering standards for data quality, security, lineage, and governance in alignment with ISO/SAE 21434 and GDPR
- Managed engineering teams across data, backend, cloud, and AI functions, ensuring consistent delivery of high-quality, production-ready solutions
Lazaros K.
Last position:
RAG Webinar: Deep Dive and Use Cases at SHI GmbH
- Design, preparation and delivery of a webinar on 'RAG in Practice: How publishers create real value with AI'
- Preparing technical and strategic content on Retrieval Augmented Generation (RAG) for a mixed audience from the publishing industry
- Presenting specific use cases, technical backgrounds, common challenges and solution approaches when using RAG
- Providing practical insights into data preparation, model selection and output optimization in the context of digital publishing portals
- Conceptual and technical preparation of the webinar
- Selecting and presenting practical use cases from the publishing environment
- Developing technical backgrounds for implementing RAG systems
- Presenting and explaining typical challenges and solution strategies
- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
Bianca S.
Last position:
Consultant OpenSearch at SHI GmbH
- Optimizing the online shop search function based on Magento and OpenSearch
- Advising on eliminating search pain points (composite search, case-insensitive search)
- Data modeling of products (parent) and items (child)
- Workshops to convey domain-specific search understanding
Anton K.
Last position:
Head of Overall Technical Integration NSC / Hadoop Cloud Development at IABG
Head of overall technical integration NSC (National Secure Cloud, project with approx. 60 employees).
Technical integration of all subprojects into one product, definition of interfaces and basic components of a cloud including hardware, technical architecture of the IABG platform.
Development of a Cloud Management Platform (CMP) capable of creating private/mixed clouds of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management lifecycle.
Kubernetes, OpenStack and Hadoop are used as the foundation.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are configured automatically.
Private cloud can run any customer workloads, including a full Hadoop layer with HDFS, Spark, MapReduce, Mesos, HBase and around 20 additional ML/DL technologies.
Hadoop worker clusters can also be installed automatically without Kubernetes on bare metal or commodity hardware.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, DB.
Technologies: Kubernetes (K3s, Rke2, Minikube, Harbor, Gitea, Jenkins, Longhorn, Keycloak, Rancher), OpenStack (Nova, Neutron, Keystone, Swift, Ceph, Cinder, Sahara, Magnum, Kayobe, Kolla, Bigrost, Ironic), Hadoop (HDFS, Ambari, Solr, Livy, Ranger, YARN, Tez, HBase, Kafka, Hive, Zookeeper, MapReduce, Spark, Oozie, Flink), virtualization (Kubernetes (K3S), VMware, Oracle), scripting (Ansible, Puppet, Juju, Shell, Groovy, Gradle, Maven).
Lars B.
Last position:
xRM Solution Architect at Energiekonzepte Deutschland GmbH
- Requirements engineering and technical specifications
- System architecture consulting
- Designing the customer journey
- Defining APIs and integrating data
- Leading the development team/delivery unit
- Customer portal and customer app
- Partner management and field service app
Stephan S.
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Maziyar K.
Last position:
Data Engineer at MSD Germany
- Lead Architect to design and implement the data lake and ETL Pipeline using AWS Stack
- Performance Optimization of Data Ingestion of ETL Pipeline
- Development of Data Validation using Great Expectations
- Leading of the data migration for two sources exchanges
- Data Modeling in AWS Redshift
MLOps
- Model inference implementation by mlflow and AWS SageMaker
- Feature Engineering for the running ML Models ( Recommender Engineer, Clustering )
- Implementatino of Model Registry and artifactory using mlflow
- Historization an Profiling of the Input Data Using AWS Glue Crawler and AWS Data Catalog
- Feature importance using mlflow
Tech. Stack: Python 3, AWS Glue, AWS Step Fucntion, AWS Lambda, AWS EventBridge, AWS IAM Role, AWS SageMaker, AWS EC2, AWS Glue Crawler, AWS CloudWatch, MLFlow, ETL, Data lake, GitHub Action, Terraform, Jenkins, Ansible playbooks (Infrastructure as Code), CI/CD, GitLab, SQL, PySparkSCRUM, Agile, Jira, BigData, VSCode, DBeaver, MSSQL, MySQL, grafana, Docker, Linux, Bash, MapReduce, Data Modeling (ORM), Pandas, YAML, SQL-Alchemy
Alain Gérard E.
Last position:
Business Analysis / Requirements Engineering at 1&1
- Creating the functional specification for a dashboard solution for E2E management in the 5G deployment team in an Open RAN architecture
- Developing dashboards and reports with Power BI Desktop (data connection using Power Query, KPI calculations with DAX, publishing to Power BI Service)
- Developing solutions with Power Apps
- Integrating Power BI reports into Dynamics 365 Business Central
Discover over 15,000 top freelancers
Statistics of experts using Apache NiFi
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
1.6 years
Positions per freelancer
14
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
95%
Master's degree or higher
68%
Doctorate
5%
Certifications per freelancer
4
Most common languages
German, English, Spanish
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 Apache NiFi
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.
Apache NiFi 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%)
- Automotive (60%)
- Banking and Finance (55%)
- Manufacturing (45%)
- Retail (45%)
- Healthcare (40%)
- Insurance (40%)
- Telecommunication (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Data flow foundation
Apache NiFi is an open-source platform for moving, transforming and routing data between systems. Its visual flow-based interface helps teams manage data in motion, from collection and enrichment to delivery. It supports event streams, files, APIs, databases and message brokers across hybrid environments.
Enterprise use cases
Companies use NiFi to connect operational applications with data lakes, warehouses and analytics services. It can ingest machine data, process customer or transaction records, distribute files and expose controlled data flows between business units. In Germany, it often appears in manufacturing, logistics, finance, energy and public-sector integration work.
- Ingest records from databases, APIs, files and IoT sources
- Route data by content, priority or business rules
- Enrich, filter and transform messages in motion
- Deliver trusted data to cloud and on-premise destinations
Ecosystem and tooling
Strong specialists work with NiFi processors, controller services, parameter contexts and templates. They use NiFi Registry for versioned flow management and understand clustering, secure transport, identity providers and provenance. Useful adjacent skills include Kafka, REST, SQL, schema management, Docker, Kubernetes and cloud storage.
When expertise matters
Freelance expertise is valuable when an integration landscape is expanding faster than internal capacity. Specialists can modernize brittle scripts, establish reusable flow patterns or prepare a NiFi deployment for production. They also help teams define governance before sensitive data starts moving between systems.
- Replace manual file transfers with observable flows
- Connect legacy applications to modern data services
- Set up deployment, promotion and rollback practices
- Diagnose back pressure, queue growth and processor failures
Delivery in Germany
A project may need on-site workshops, remote flow development or a blend of both. Professionals working with German companies should communicate clearly with technical and business teams and adapt documentation to the organisation’s language expectations. They should also understand access controls, audit needs and operational ownership for data pipelines.
What quality looks like
Strong Apache NiFi professionals design flows that remain understandable under change. They use meaningful naming, parameterisation, controlled retries and clear failure paths instead of hiding complexity in a visual canvas. They test throughput and recovery, protect credentials, monitor provenance and document how operators should respond when a flow is interrupted.
Frequently asked questions
Need clarity? These are the questions we hear most often about Apache NiFi.
Apache NiFi is used to move and process data between applications, databases, files, APIs, message brokers and cloud services. Teams use it for ingestion, routing, transformation, enrichment and delivery while keeping flow status and data provenance visible.
Apache NiFi focuses on visual, configurable data movement and mediation across many endpoint types. Kafka is primarily an event streaming and durable messaging backbone, while traditional ETL tools often centre on scheduled batch processing. NiFi can work alongside Kafka rather than replace it.
A strong Apache NiFi specialist often understands SQL, REST APIs, JSON, XML, schema management and message brokers such as Kafka. Knowledge of Docker, Kubernetes, cloud storage, Linux, security controls and observability is also useful for production delivery.
The right level depends on the flow’s risk and operating model. A simple integration may need focused configuration skills, while clustered production flows require experience with security, scaling, provenance, failure handling and deployment governance. Ask for evidence from a comparable data landscape.
Apache NiFi projects are often suitable for remote collaboration because flows, configuration and documentation can be reviewed digitally. On-site sessions may still help with access decisions, architecture workshops or coordination with operations teams. Clear communication in the organisation’s expected language is important.
Apache NiFi provides encrypted communication, authentication, authorisation, sensitive property protection and data provenance features. A specialist should configure these controls deliberately, integrate the platform with the organisation’s identity services and avoid placing credentials directly in flow definitions.
Look for a clear explanation of processor choices, retry behaviour, back pressure, monitoring and deployment promotion. A capable Apache NiFi freelancer can show how they test failure paths, protect sensitive data and keep flows maintainable for the team that will operate them.
Apache NiFi supports both continuous event-driven movement and scheduled or file-based processing. It is a strong fit when teams need routing, mediation and operational visibility across varied systems. Workloads requiring extreme event-stream throughput may be better handled with specialised streaming components alongside NiFi.
The average hourly rate of freelancers in Germany who have used Apache NiFi in their recent projects is 106 €, which corresponds to a daily rate of about 847 € based on an 8-hour working day.
Of the freelancers in Germany who have used Apache NiFi in their recent projects, 95% hold at least a Bachelor's degree, 68% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Germany who have used Apache NiFi in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Germany who have used Apache NiFi in their recent projects are German (100%), English (100%), and Spanish (30%).
The most common industries among freelancers in Germany who have used Apache NiFi in their recent projects are Information Technology (100%), Automotive (60%), and Banking and Finance (55%).
The most common business areas among freelancers in Germany who have used Apache NiFi in their recent projects are Information Technology (100%), Business Intelligence (90%), and Product Development (75%).
Main locations of FRATCH Experts, who have recently used Apache NiFi
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
