Apache Flink Experts in Germany
in minutes from 15,000 CVs with the power of AIHire experts who build streaming pipelines, real-time analytics, and event-driven processing with Apache Flink, Flink SQL, and the surrounding data stack. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Apache Flink
Collin Kempkes
Last position:
Lead Fullstack Developer at Freelance
- Development of cloud native applications to provide a multi-vendor marketplace for different digital assets (e.g. NFTs)
- Design and operation of a microservice architecture using Nest.js, MySQL, Redis, Hasura, Algolia, Docker and Serverless
- Design and operation of a streaming data architecture using Kafka (with JSON Schemas)
- Creation of CI/CD pipelines with GitHub Actions for automated deployment of applications
- Testing and evaluating new technologies for more stable, faster, safer and more sustainable application development
- Building the full infrastructure with Terraform in AWS
- Integration of Stripe to handle international payments
- Use of Algolia for real-time search of digital assets on the platform
- Presenting results to stakeholders and running internal meetups
- Federation of services with GraphQL and Hasura
- Discussions about architecture decisions in the IT landscape and their impact
- Use of message queues for app-internal communication and component encapsulation
- Advising internal staff on the implementation of business and technical requirements
- Test Driven Development: unit, integration and E2E testing using JUnit
- Use of Next.js/React with SASS/SCSS for frontend applications
- Use of Vue.js with SASS/SCSS for frontend applications
- Integration of security-related mechanisms (JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA, secret vaults)
- Creation of microfrontends using Retool for fast prototyping and testing of functionality
- Use of nx monorepo with nrwl
Jens Oberender
Last position:
Freelance Java Developer / DevOps Engineer at Unpublished defense company
- Extension of OSGi modules in a complex communication solution
- Debugging communication with Wireshark and remotely in the JENS test environment
- Migration of tests from TestNG to JUnit 5 with Mockito and AssertJ
- Updating vulnerable dependencies and improving code quality
- Changes to the Vaadin frontend
- Increasing test coverage
Ibrahim Hilali
Last position:
Senior Full Stack / AI Engineer at Punktum Digital GmbH
- Context: Healthcare and laboratory teams required faster document analysis, treatment-planning support, and reliable AI workflows for MR/VR-assisted operations.
- Contribution: Built the AI healthcare platform, model/agent workflows, VR-glasses deployment platform, REST APIs, Next.js/React interfaces, and CI/CD pipelines.
- Impact: Delivered a production-ready AI product foundation that improved clinical document review, supported laboratory automation, and made VR fleet deployment manageable across environments.
Tech: TypeScript, Next.js, Node.js, React, Java, Spring Boot, Python, PyTorch, TensorFlow, Docker, PostgreSQL, OpenAPI, GitLab, GitHub Actions.
Selvaraj Kannaiyan
Last position:
Senior Full Stack & Cloud Architect at HCLTech
- Led end-to-end implementation of the Miles and More Credit Card Service integrating with TSYS systems on Microsoft Azure
- Architected secure, scalable APIs and microservices using Spring Boot, Camunda, and Apache Kafka (Confluent Platform) for real-time event streaming and process automation on Azure Kubernetes Service
- Managed full development lifecycle of the credit card system on Azure Cloud including fraud detection, payment processing, account management, and Kafka-based event-driven data pipelines
- Designed and implemented Kafka Connect integrations and Schema Registry for seamless data flow between microservices and legacy systems
- Introduced Agile best practices, improving team efficiency by 30% and reducing project delivery time
- Directed and mentored a team of 15+ developers fostering a collaborative, cloud-first, and innovation-driven culture
- Managed client relationships achieving 95% satisfaction and securing follow-up projects through consistent delivery excellence
- Designed and deployed BPMN/DMN models in Camunda for complex business workflows and automation
- Configured Camunda Engine with advanced features such as error handling, RPA integration, and multi-version deployments
- Integrated Camunda and Kafka-based messaging with core banking systems ensuring high availability and data consistency
- Managed multi-database schema configurations on Azure and optimized system performance for high throughput and fault tolerance
- Designed and implemented cloud architecture patterns on Azure focusing on multi-region resilience, data sovereignty, and event-driven scalability for critical financial workloads
Stephan Sahm
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)
Daniel Carton
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Fabian Crabus
Last position:
Short project: Converting monocular images
- Converting monocular images into depth maps and point clouds as training data for Jetson and Zed stereo cameras
- Developing a drone detection system based on audio and video using Python
Umar Maqsud
Last position:
Senior AI Architect & Engineer at Freelancer / Self-employed
- Consulting, design, and architecture of SaaS platforms with a focus on automation, data analytics, and cloud deployment
- Defining the target architecture and managing the entire development lifecycle from implementation to production operation, including stakeholder alignment
- Designing, architecting, and implementing a multi-tenant SaaS platform
- Building scalable data and machine learning pipelines (batch & streaming) for order and business data
- Developing AI models for data analysis (KPI calculations, forecasts) and integrating them into data pipelines
- AI-driven processing of customer inquiries (delivery status, invoices, cancellations, complaints) to automate customer service
- Developing APIs, microservices, and dashboards with Python for data-driven applications
- Cloud deployment on AWS and infrastructure-as-code automation with Terraform; containerization with Docker and Kubernetes
- Setting up CI/CD pipelines for automated deployments with GitLab CI and governance of deployment processes
- Implementing monitoring dashboards with Grafana to monitor services and ML pipelines
- Implementing security and compliance requirements (GDPR-compliant data handling, logging), including identity & access management and role-based access control
Anton Klonov
Last position:
Head of Technical Overall Integration NSC / Hadoop Cloud Development at IABG
Head of technical overall integration NSC (National Secure Cloud project with about 60 employees).
Technical integration of all subprojects into one product, definition of interfaces, basic components of a cloud including hardware, technical architecture of the IABG base.
Development of a Cloud Management Platform (CMP) that can create a private/mixed cloud of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management cycle.
As a foundation, it uses Kubernetes, OpenStack, and Hadoop.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are automatically configured.
The private cloud can run any customer workloads, including a full Hadoop stack with HDFS, Spark, MapReduce, Mesos, HBase and around 20 other ML/DL technologies.
Hadoop worker clusters can also be automatically installed on bare metal or commodity hardware without Kubernetes.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, database.
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).
Marie Richter
Last position:
HR & Compensation Consultant, Fractional VP People at Marie Richter HR Consulting
- Interim VP People at Malt, Vay, Sharpist, Unleashed Capital, and i2x
- Project work with Zalando, DeepL, DoorDash, Bilfinger, Aiven, Contentful, Gorillas, Tier Mobility, Moss, Oetker Digital, and Uberall on compensation & benefits, performance & talent management, people operations, and HR business partnering
- Implementation of HR & compensation tools at DeepL, Flink, HeyJobs, Yager, Finoa, and Unleashed Capital
- Hourly HR & compensation consulting for Lufthansa Innovation Hub, Finanzguru, DigitalService des Bundes, ifok, Vialytics, Leonyte, ACELR8, and Refokus
Jens Grassel
Last position:
Shijou GmbH
- Software architecture and backend development for a marketplace solution / eCommerce retail
- Used Scala, Python, http4s, Next.js, Elasticsearch, PostgreSQL, AWS
Discover over 15,000 top freelancers
Statistics of experts using Apache Flink
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.2 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
78%
Doctorate
22%
Certifications per freelancer
2
Most common languages
German, English, Spanish
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 Apache Flink
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
Real-time processing
Apache Flink is used for stateful stream processing, low-latency analytics, and event-driven data flows. Teams use it when batch jobs are too slow and when they need fresh results from Kafka, files, or other live sources. It fits systems that must react as data arrives.
Typical work
- Build streaming jobs for alerts, monitoring, and operational dashboards
- Design event-time logic, windowing, and state handling
- Create Flink SQL pipelines for joins, aggregations, and transformations
- Connect Flink to Kafka, object storage, and warehouse targets
Ecosystem skills
Strong Apache Flink specialists understand Java, Scala, or Python, plus SQL and distributed systems basics. They work with Kafka, schema management, checkpointing, serialization, and deployment tools around Kubernetes or cloud runtimes. They also know how to keep jobs stable under changing input rates.
When to bring help
Companies bring in freelance expertise when a pipeline needs to be rescued, scaled, or made easier to operate. That often happens during migration from batch processing, after a streaming backlog, or when a team needs better job design, testing, or production tuning. In Germany, this is common in data-heavy product teams, finance, logistics, and industrial environments.
What strong experts do
- Model state, time, and failure recovery with care
- Keep processing correct under late or out-of-order events
- Write jobs that are readable, testable, and maintainable
- Tune throughput, latency, and resource use without breaking results
Delivery focus
Good Apache Flink professionals do more than write pipelines. They define data contracts, production checks, rollout steps, and clear handover notes so operations teams can trust the system. For remote or on-site work in Germany, they should be comfortable with English and, when needed, work smoothly with local teams and stakeholders.
Frequently asked questions
Curious about Apache Flink? Here are the answers that come up again and again.
Apache Flink is used for live data processing where results must stay fresh. Companies use it for event streaming, fraud signals, operational monitoring, clickstream analysis, and data transformations that depend on event time. It is a good fit when teams need continuous processing instead of delayed batch runs.
Flink is usually chosen when stateful stream processing, event-time handling, and low-latency pipelines matter most. Spark Streaming is often part of broader batch-oriented data work, while Kafka Streams stays close to the Kafka ecosystem and is lighter for embedded use cases. The right choice depends on pipeline complexity, latency needs, and operating model.
A strong Apache Flink specialist should also know Kafka, SQL, Java or Scala, and basic distributed systems concepts. They should understand state, checkpointing, serialization, schema changes, and how jobs behave under failure. Cloud or Kubernetes experience helps when the pipeline must run in production with clear operations practices.
A project needs Apache Flink expertise when the first version is working but production behavior is not. Common signs are growing lag, unstable state, confusing event-time logic, or jobs that are hard to deploy safely. Senior help is also useful during migrations from batch jobs to streaming pipelines.
Yes, Apache Flink work is often done remotely because most tasks live in code, data contracts, and deployment logic. On-site work can still help when teams need close alignment with operations, data owners, or regulated environments in Germany. Many specialists work well in either setup if communication is clear.
Ask which production jobs the Flink professional has delivered, how they handled state and recovery, and how they tested event-time behavior. You should also ask about the surrounding stack, such as Kafka, SQL, and deployment tooling. Clear answers here tell you whether they can ship and support a real pipeline.
No, Apache Flink is not limited to Java teams, although Java is very common. Many experts also work with Scala and, for some tasks, Python or Flink SQL. The best language choice depends on the team’s existing codebase, deployment model, and long-term maintenance needs.
Look for someone who can explain state, windows, checkpoints, and failure recovery in plain language. A good Apache Flink specialist can also describe trade-offs between latency, correctness, and operational complexity. Strong candidates usually talk about production incidents, testing strategy, and how they keep pipelines understandable.
The average hourly rate of freelancers in Germany who have used Apache Flink in their recent projects is 104 €, which corresponds to a daily rate of about 833 € based on an 8-hour working day.
Of the freelancers in Germany who have used Apache Flink in their recent projects, 100% hold at least a Bachelor's degree, 78% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Germany who have used Apache Flink in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Germany who have used Apache Flink in their recent projects are German (100%), English (100%), and Spanish (36%).
The most common industries among freelancers in Germany who have used Apache Flink in their recent projects are Information Technology (100%), Automotive (45%), and Banking and Finance (45%).
The most common business areas among freelancers in Germany who have used Apache Flink in their recent projects are Information Technology (91%), Product Development (91%), and Business Intelligence (82%).
Main locations of FRATCH Experts, who have recently used Apache Flink
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.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
