Apache Flink Experts in Germany
, matched fast with vetted, available freelancersHire experts who design event-driven pipelines, stateful stream processing jobs and Flink SQL applications across Kafka and cloud data platforms. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical needs.
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
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.
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).
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)
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 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
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
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, Automotive
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
70%
Doctorate
20%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 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 19 Sep 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 (50%)
- Automotive (42%)
- Education (42%)
- Banking and Finance (42%)
- Transportation (42%)
- Manufacturing (42%)
- Professional Services (33%)
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 processing continuous data streams and bounded data sets. It handles stateful computations, event time, windows and exactly-once processing for systems that need timely, consistent results. Teams use it for fraud detection, monitoring, recommendations and operational analytics.
Core capabilities
Flink separates business logic from the movement of data through resilient distributed pipelines. Strong implementations manage state, checkpoints, savepoints, backpressure and recovery while keeping latency and correctness under control. Flink SQL and the Table API let teams express many transformations with familiar relational concepts.
Ecosystem and tooling
Flink commonly runs alongside Apache Kafka, Kafka Connect, schema registries and cloud object storage. Professionals also work with Java, Scala or Python APIs, Kubernetes, Docker, Maven, Gradle and observability tools. Connectors, catalogs and formats such as Avro, JSON and Parquet must be selected and configured to match the surrounding platform.
Where it fits
- Streaming ETL and data integration
- Stateful event processing and enrichment
- Fraud, risk and anomaly detection
- Real-time dashboards and alerting
- Continuous feature and recommendation pipelines
Flink is useful when data arrives continuously and decisions cannot wait for a batch job. In Germany, teams across manufacturing, logistics, finance, retail and connected products may use it to turn operational events into timely actions.
When to bring expertise
Freelance expertise helps when a team is moving from batch processing to streaming, replacing fragile consumers or scaling an existing Flink application. Specialists can define event-time semantics, select connectors, tune state and plan safe upgrades. They also help establish deployment and operating practices for cloud or on-site environments in Germany.
What quality looks like
Strong professionals make correctness visible. They test late and out-of-order events, recovery paths, schema changes and rescaling rather than judging a pipeline only by throughput. They document state handling, monitor checkpoint health and explain trade-offs between Flink, Kafka Streams, Spark Structured Streaming and simpler consumers. Clear communication matters when remote specialists work with local product, data and operations teams.
Frequently asked questions
Curious about Apache Flink? Here are the answers that come up again and again.
Apache Flink is used for stateful stream processing and continuous data pipelines. Companies apply it to fraud detection, real-time analytics, event-driven applications, monitoring, recommendations and streaming ETL. It can also process bounded data when a unified batch and streaming approach is useful.
Apache Flink provides a broader distributed processing engine with advanced event-time handling, state management, windows and recovery features. Kafka Streams is often a simpler choice for applications closely tied to Kafka and deployed with the application itself. The right option depends on topology complexity, operational needs and the wider data platform.
An Apache Flink specialist should usually understand Apache Kafka, event schemas, Java or Scala, SQL and cloud or Kubernetes operations. Experience with observability, data quality, CI/CD and security is also valuable. Knowledge of storage formats and catalog systems helps when pipelines connect streaming data with lake or warehouse environments.
The needed experience depends on the risk and scope of the pipeline. A small Flink SQL task may need focused knowledge of connectors and deployment, while a critical stateful platform requires proven work with checkpoints, savepoints, failure recovery and upgrades. Ask for examples that match your event volume, latency needs and data guarantees rather than relying on a generic résumé.
Apache Flink work is often suitable for remote collaboration because code, deployments, dashboards and design documents can be shared online. On-site sessions may still help with architecture workshops, production handovers or access-restricted systems. Agree on working hours, documentation standards and German or English communication needs at the start.
Ask how the specialist handles event time, late data, state growth, checkpoint failures and schema evolution. A strong Apache Flink professional can explain testing and recovery procedures in concrete terms and connect design choices to business requirements. Review deployment manifests, monitoring plans and technical documentation where confidentiality permits.
Apache Flink is often preferred when low-latency, event-time processing and fine-grained state control are central requirements. Spark Structured Streaming can be attractive when a company already operates a Spark and lakehouse environment or favors its unified analytics workflow. A technical assessment should compare latency, state behavior, team skills and operational complexity.
Common risks include poorly defined event-time semantics, unbounded state, weak checkpoint storage, incompatible schemas and connectors that are not tested under failure. Apache Flink jobs can appear healthy while producing delayed or duplicated business results if these areas are ignored. Professionals should include fault injection, replay testing, monitoring and a clear recovery runbook.
The average hourly rate of freelancers in Germany who have used Apache Flink in their recent projects is 102 €, which corresponds to a daily rate of about 812 € 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, 70% hold at least a Master's degree, and 20% 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 (33%).
The most common industries among freelancers in Germany who have used Apache Flink in their recent projects are Information Technology (100%), Retail (50%), and Automotive (42%).
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 (67%).
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
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FRATCH CEO
