
Apache Flink Experts in Germany
, matched in minutes by AIHire experts who design streaming pipelines, process event-time data and connect Apache Flink with Kafka, cloud storage and lakehouse systems. FRATCH finds precise matches with vetted, available freelancers for remote or on-site work in Germany.
Meet FRATCH Experts in Germany, who have recently used Apache Flink
Collin K.
Last position:
Software Architect / Fullstack Developer at Equity Bytes
Built an international e-commerce platform for a multi-vendor marketplace for digital assets from scratch. Designed and operated cloud native architectures at enterprise scale.
- Designed and operated a highly scalable microservice and serverless architecture
- Built the complete cloud infrastructure with Terraform + AWS CDK in AWS
- Provisioned ECS/EKS clusters (Fargate), Application Load Balancers (reverse proxy), and Lambda functions
- Observability & tracing with CloudWatch, DataDog, Prometheus, and Grafana
- End-to-end setup with DataDog (formerly AWS CloudWatch), Prometheus, and custom Grafana dashboards
- Integration of advanced metrics (including ORM mapper) and distributed tracing with Jaeger
- Robust backup and disaster recovery strategies
- RDS Postgres backups and hourly snapshots
- Read-only, asynchronously synchronized replicas with automated master failover in emergencies
- Minute-level rollback capability through versioned Docker images on ECS and Git-based CI/CD pipelines
- Created CI/CD pipelines with GitHub Actions for automated multi-stage deployments (Dev, Testing, Prod)
- Integrated Stripe for international payment processing
- Built a marketplace payment system with multiple parties and payout routines
- Used Algolia for high-performance real-time search of digital assets on the platform
- Federation of services with GraphQL and Hasura
- Later migration to GraphQL Mesh
- Test Driven Development (TDD) - unit, integration, and E2E testing with Jest, Vitest, and Playwright
- Used Next.js / React for modern frontend applications in the nx monorepo
- Enterprise security architecture & access control
- Integration of JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA protection, and secret vaults
- Authorization concepts with RBAC, ABAC, and native Postgres Row-Level Security (RLS)
- Built internal microfrontends with Retool for fast prototyping and operational business processes
Technologies: ABAC, AWS CDK, AWS CloudWatch, AWS ECS, AWS EKS, AWS Fargate, AWS RDS, AWS S3, Algolia, Auth0, DataDog, Docker, GitHub Actions, Grafana, GraphQL, GraphQL Mesh, Hasura, JWT, Jaeger, Java, JavaScript, Jest, Kotlin, Kubernetes, Monorepo, Next.js, OIDC, Playwright, Postgres, Postgres RLS, Prometheus, RBAC, Redis, Retool, Serverless, Stripe, Terraform, TypeScript, Vitest
Domenic V.
Last position:
Founder at VOS Ventures Tech UG
Working as independent / interim / fractional CTO / engineering director, technical leader, builder, coach. Select achievements:
- Fractional CTO for a music-tech startup. Helped unlock further funding by providing the technical strategy and plan behind their vision and pitch deck, then executed it: vision to a working beta, 0 to 1, on time and on budget against that plan.
- AI automation for a compliance business. An annual research process — days of a person working through spreadsheets and checking websites by hand, so costly it had been abandoned for years — now runs automatically every month and takes about an hour to review. Stale or missing data became current data, twelve times a year.
- An AI development autopilot. Agents take an approved ticket, implement test-first, verify against a running system and open a pull request. An AI committee reviews on various categories and provides risk assessments based on my specs. Nothing merges without a human.
- Coaching and sparring for engineering leaders. Developing engineering managers was most of my job as a director; I now do it one to one.
Fabian C.
Last position:
Senior GIS Developer at Transport & Logistics
Development of a route planner for incident communication.
- Development of the REST API
- Set up a patch system for maintaining the routing graph
- Expansion of the testing infrastructure
- Performance and memory optimization (JMeter, JFR)
Technologies: Java 21, Spring Boot, JGraphT, Flyway, MapStruct, Caffeine, ShedLock, JMeter, Kubernetes, JFR
Jens O.
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
Aweem A.
Last position:
Senior Java Developer at Folio3
- Architected, developed, and maintained scalable backend services using modern Java (17/21), Kotlin, and Spring Boot for high-traffic, performance-critical platforms.
- Served as a technical leader for complex initiatives, taking features from inception through deployment, and implementing runtime validation layers using advanced LLM APIs with secure guardrails.
- Optimized PostgreSQL schemas and query efficiency at scale, drastically reducing data retrieval latencies and ensuring cross-service transactional consistency.
- Spearheaded continuous improvement in development processes, designing comprehensive unit and integration testing frameworks that drove test coverage from 50% to over 90% via JUnit, Spock, and Mockito.
- Partnered extensively with cross-functional product and data squads to define API boundaries, design interfaces, and ensure rapid, high-confidence CI/CD release cycles.
Marie R.
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
Ibrahim H.
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 K.
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
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).
Umar M.
Last position:
Senior AI Architect & Engineer at Freelancer / Self-Employed
- Consulting, design and architecture of SaaS platforms with a focus on automation, data analysis and cloud deployment
- Definition of the target architecture and management of the entire development lifecycle from implementation to production operation, including stakeholder alignment
- Design, architecture and implementation of a multi-tenant SaaS platform
- Development of scalable data and machine learning pipelines (Batch & Streaming) for order and business data
- Development of AI models for data analysis (KPI calculations, forecasts) and integration into data pipelines
- AI-supported processing of customer inquiries (delivery status, invoice, cancellation, complaint) to automate customer service
- Development of 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
- Development of CI/CD pipelines for automated deployment with GitLab CI and governance of deployment processes
- Implementation of monitoring dashboards with Grafana to monitor services and ML pipelines
- Implementation of security and compliance requirements (GDPR-compliant data handling, logging), including identity and access management and role-based access control
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)
Daniel C.
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)
Jens G.
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, Retail, Education

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
73%
Doctorate
18%

Certifications per freelancer
2

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 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Apache Flink 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%)
- Retail (54%)
- Education (46%)
- Manufacturing (46%)
- Automotive (38%)
- Banking and Finance (38%)
- Transportation (38%)
- Professional Services (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Real-time processing
Apache Flink is an open-source framework for stateful processing of unbounded and bounded data streams. It supports event-time semantics, low-latency analytics, batch workloads and exactly-once processing. Companies use it to turn live events into decisions, alerts and reliable data products.
Typical systems
Flink runs behind operational systems that must react while data is moving. Common deliverables include:
- Streaming pipelines for click, transaction and sensor events
- Real-time fraud detection and risk scoring
- Continuous ETL into warehouses, lakes and search systems
- Session analysis, aggregations and event-driven alerts
Ecosystem and tooling
Strong Apache Flink specialists work across the wider data stack. They connect Flink with Apache Kafka, Pulsar, Debezium, Hadoop, object storage and lakehouse technologies such as Apache Iceberg. They also use Java or Scala, SQL and Python APIs, Flink Kubernetes Operator, Docker, Kubernetes, Terraform and observability tools.
When expertise matters
Companies bring in freelance professionals when streaming workloads outgrow simple consumers or scheduled batch jobs. Expertise is valuable during a new platform build, a migration from legacy processing, production incidents or a push to standardize data contracts. In Germany, specialists may support distributed teams remotely or collaborate on-site where operational access and local language skills matter.
Delivery and operations
A capable professional defines schemas, watermarks, windows, state backends and restart strategies before tuning performance. They secure connectors, manage checkpoints, control backpressure and design recovery paths. Production work also includes deployment automation, dashboards, alerting, testing with realistic event order and clear runbooks.
Signs of quality
Look for evidence that a specialist has operated stateful streaming systems, not only written a demo job. Useful signals include:
- Clear handling of late, duplicate and out-of-order events
- Practical knowledge of state growth, checkpoints and savepoints
- Safe schema evolution and connector management
- Measured troubleshooting of backpressure and recovery issues
- Tests that cover failures as well as normal throughput
The best fit can explain trade-offs between latency, correctness, cost and operational complexity in terms your team can act on.
Frequently asked questions
Curious about Apache Flink? Here are the answers that come up again and again.
Apache Flink is used to process continuous streams and bounded datasets with stateful computations. Typical applications include fraud detection, real-time recommendations, monitoring, change-data capture pipelines and event-driven analytics.
Flink is a processing engine with deep support for event time, state management and continuous streaming workloads. Kafka Streams is closely tied to Kafka applications, while Spark Structured Streaming often fits teams already centered on the Spark ecosystem; the right choice depends on latency, state, deployment and team requirements.
An Apache Flink specialist should usually understand Apache Kafka, schemas, CDC, SQL and cloud storage. Experience with Java or Scala, Kubernetes, observability, data quality and lakehouse formats such as Apache Iceberg is also useful.
The need depends on the workload and its operational risk. A contained pipeline may need a specialist who can build and test a job, while a mission-critical platform calls for proven skill with state, checkpoints, upgrades, security and incident recovery.
Apache Flink work is often suitable for remote collaboration because code, infrastructure and monitoring can be shared securely. On-site sessions may still help with architecture workshops, access controls or incident response, and German or English communication should match the team.
Ask how the specialist handled late events, backpressure, state growth and failed checkpoints in a real system. A strong Flink professional can explain design decisions, show how they test recovery and describe operational signals without hiding behind generic performance claims.
Apache Flink supports bounded data processing as well as unbounded streams through a unified programming model. This lets teams reuse concepts such as transformations, state and time handling while choosing the execution approach that fits each workload.
Specialists choose Apache Flink because it combines distributed processing with demanding problems around time, state and correctness. Projects often involve Kafka, cloud infrastructure and production operations, giving experienced professionals room to solve complex data flow challenges.
The average hourly rate of freelancers in Germany who have used Apache Flink in their recent projects is 103 €, which corresponds to a daily rate of about 820 € 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, 73% hold at least a Master's degree, and 18% 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 (31%).
The most common industries among freelancers in Germany who have used Apache Flink in their recent projects are Information Technology (100%), Retail (54%), and Education (46%).
The most common business areas among freelancers in Germany who have used Apache Flink in their recent projects are Information Technology (92%), Product Development (92%), and Business Intelligence (62%).
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.
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