Scala Experts in Munich
, matched quickly with vetted, available professionalsHire experts who build type-safe backend services, streaming pipelines and data platforms with Scala, Akka, Cats and Spark. Get fast, precise matching with vetted, available freelancers for your project.
Meet FRATCH Experts in Munich, who have recently used Scala
Valery K.
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development of high-performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Serge K.
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Eli R.
Last position:
Technical co-founder at AskTheLaws
- Create an AI legal assistant with modern ML capabilities.
- Implement RAG architecture, with data pipelines for legal data search.
- Use AWS Bedrock for LLM and embedding models and LangChain/LangGraph
- Python with FastApi for backend and React for frontend
Hans-Christian R.
Last position:
AI Voice Systems Consultant at QuantaLingo
Consulting and prototype work on AI voice and multilingual agent systems, using AI-assisted delivery across realtime translation prototypes, call-centre automation, and voice-to-voice consultation workflows.
- Built and advised on AI voice / agentic conversation prototypes, including realtime translation and consumer-facing consultation experiences.
- Worked across call-centre automation, voice UX, product architecture, implementation tradeoffs, and prototype development.
Mohamad D.
Last position:
Project Engineer at BMW Group AG
- Designed and implemented Azure Kubernetes Clusters, and managed DNS and Firewall solutions, enhancing network security and reliability.
- Led projects using Agile Scrum methodologies to streamline development cycles and improve project efficiency.
- Fostered and maintained relationships with suppliers to ensure timely project deliverables and resource availability.
- Managed continuous integration and delivery (CI/CD) pipelines using Jenkins, Sonar, GitHub, Bitbucket, and Terraform within the BMW Azure Cloud environment.
- Utilized Fortify SSC and Contrast AST for robust application security testing.
- Directed DevOps engineering initiatives on the SAP Business Technology Platform (BTP), focusing on streamlining development and deployment processes.
- Service Now governance, risk und compliance (GRC&IRM).
Christian S.
Last position:
Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG
- Concept creation and implementing AI Agents in AWS Cloud
- Continuously alignment with stakeholders
- Collaborate with DevOps
- Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
György K.
Last position:
Senior Fullstack Developer at Rockstardevelopers GmbH
- Development of a test system
- Establishment of the architecture using Scala/Java for the backend and Swing for the frontend
- Setup of CI/CD pipelines with Jenkins for continuous integration, including automated builds
- Participation in the Scrum team, including daily stand-ups, sprint planning, and retrospectives
- Technology environment: Scala, Swing, EJB, JPA, Scrum, PostgreSQL, Mercurial
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).
Pavlo V.
Last position:
(Group) CTO at Seven.One Entertainment Group
Successfully restructured ProSiebenSat.1 Digital and merged with Seven.One Entertainment Group to enable Digital Consumer Products strategy for 6k+ employees across DACH.
Acquired JOYN streaming platform (4M unique users) from Warner Bros. Discovery and managed integration of 160+ people while maintaining efficiency.
Pivoted to a platform organisation with a capped annual budget of EUR -100M, decreasing time-to-market and enabling product testing within 3 months, avoiding significant upfront investment.
Focus on reusability and modular components generated new mid-digit multimillion revenue through Live Interactive shows (EUR 2.5M project budget, 7 months of development).
Built from scratch and went live with a new publishing business for Digital News and Sports within 6 months, enabling 250+ editors with multi-tenancy support.
New tech stack product achieved +66% YoY unique monthly active users and +60% YoY time spent per day (>2h).
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)
Ivan D.
Last position:
Technical Lead - IDE Platform at Postman
- Led an initiative to develop an IDE extension (VSCode). Created a vision and strategy, gathered and clarified requirements, coded a PoC and performed internal testing.
- Responsible for the architectural decisions and tradeoffs.
- Coached and organised knowledge sharing sessions with other engineers.
- Tech stack: ReactJS, NodeJS, AWS, Docker, TypeScript, Jest, Vitest, VSCode API, git.
Valentin P.
Last position:
Student in Cloud Engineering at IAV GmbH
- Container orchestration with Docker and Kubernetes clusters
- Operating cloud platforms like Rancher, Azure, and AWS
- Development with and use of infrastructure-as-code tools like Terraform, Kubectl, and Helm
- Analysis and use of Python, YAML, and JSON
Christof N.
Last position:
Senior Developer at Otto GmbH
- Further development of personalized advertising spaces on the Otto web shop
- Full-stack development in a Kanban-driven team of about 15 people
- Technologies: Microservices, Kotlin, Spring, Spring Boot, Gradle, MongoDB, HTML, JS, Node, SCSS, AWS
- Development process: Kanban; continuous integration with AWS CodePipeline and GitHub Actions
Jan W.
Last position:
Technical Consultant at AI Beratung (KMU)
- Evaluation of RAG for legal advisory (build or buy)
- Evaluation and POC of RAG for an ERP time tracking module
- Consulting on foundation model selection
- Setup AI development environment (eliminating shadow AI)
- AI strategy consulting
- AI-assisted code creation and context engineering make change sets larger
- Strong software engineering expertise, code reviews and safeguarding through pipelines and domain-specific automated test cases
Andreas K.
Last position:
Senior Developer at ioki GmbH, a Deutsche Bahn AG company
- Fullstack development based on Next.js and TypeScript
- Development and optimization of geospatial database queries for PostgreSQL/PostGIS
- Visualization of geospatial data using Mapbox
- Design and execution of load tests and performance optimizations
- Code reviews and documentation tasks
- Technologies: JavaScript, TypeScript, Next.js, React, Zod, tRPC, Storybooks, PostgreSQL/PostGIS, MicroORM, Knex, Material UI, Mapbox, BullMQ, Jest, Playwright, Artillery.io, K6, Sentry, Figma, GitLab, Grafana, GTFS
Discover over 15,000 top freelancers
Statistics of experts using Scala
Aggregated from the professional profiles of matched freelancers.
Experience
23 years (Germany: 21 years)
Position duration
2 years (Germany: 2.2 years)
Positions per freelancer
16 (Germany: 14)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Retail, Automotive
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
86% (Germany: 68%)
Doctorate
21% (Germany: 13%)
Certifications per freelancer
3
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 97%)
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 Munich 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 Munich using Scala
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.
Scala 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 (73%)
- Automotive (67%)
- Banking and Finance (47%)
- Media and Entertainment (47%)
- Education (40%)
- Energy (40%)
- Manufacturing (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Scala in practice
Scala is a statically typed programming language that runs on the Java Virtual Machine. It combines object-oriented and functional programming, making it suitable for concurrent services, data processing and systems where correctness matters. Its concise syntax supports expressive domain models without giving up access to the Java ecosystem.
Systems and products
Scala is used for resilient backend services, event-driven applications and high-throughput data platforms. Teams also use Scala.js for browser applications and Scala Native for selected native workloads. In Munich, Scala skills can support finance, mobility, manufacturing and software products that depend on reliable distributed systems.
Ecosystem and tooling
The ecosystem includes sbt for builds, ScalaTest and MUnit for testing, and libraries such as Cats, ZIO and Akka. Apache Spark remains important for batch and streaming workloads, while Kafka often connects Scala services to event pipelines. Strong specialists also work comfortably with Java libraries, SQL, Docker and cloud deployment tools.
- Design typed APIs and domain models
- Build concurrent services and message-driven workflows
- Create Spark jobs and streaming pipelines
- Modernize Java-based JVM systems
When expertise helps
Companies bring in freelance Scala professionals when a platform needs safe evolution, stronger throughput or a clearer domain model. External expertise is useful during a migration from Java, the launch of a data product, or the recovery of a complex build and deployment process. Remote collaboration works well when code reviews, architecture decisions and delivery ownership are clearly organized.
What strong specialists bring
Good Scala specialists reason carefully about types, effects, concurrency and failure handling. They choose abstraction levels that the team can maintain instead of using advanced language features for their own sake. Look for practical testing habits, readable functional design and experience tracing production behavior across services, queues and data stores.
Choosing the right fit
Assess professionals through a focused discussion of the system, not through syntax questions alone. Ask how they would model failures, evolve an API, test asynchronous code and monitor a Spark or Akka workload. Relevant production examples, clear trade-offs and communication in the team’s working language matter as much as knowledge of Scala itself.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Scala.
Scala is commonly used for backend services, distributed systems, data engineering and event-driven applications. Its JVM compatibility also makes it practical for teams that need to combine new functional code with established Java libraries.
Scala offers stronger functional programming features and a more expressive type system than Java, while Kotlin usually favors a simpler learning curve and closer Java-style syntax. The right choice depends on team familiarity, existing systems, operational needs and the level of abstraction the codebase can support.
Scala work often requires knowledge of sbt, testing frameworks, SQL, Docker and cloud environments. Depending on the project, useful adjacent skills include Apache Spark, Kafka, Akka, Cats, ZIO, REST or gRPC APIs, and observability for distributed services.
Scala project needs vary with system risk and scope rather than a fixed number of years. A small service may need a specialist who can deliver independently, while a large migration or data platform benefits from someone who has handled concurrency, deployment and long-term code ownership in production.
Scala projects are well suited to remote collaboration when requirements, architecture decisions and review practices are documented. Teams in Munich should agree early on working hours, communication channels and whether German or English is expected for technical discussions and stakeholder work.
Scala is a strong choice when a system needs typed transformations, parallel processing and integration with the JVM ecosystem. It is especially useful around Apache Spark and streaming workflows, provided the team can support the language and keep data pipelines observable.
A strong Scala professional explains trade-offs clearly and can show how they test effects, handle failures and keep concurrent code understandable. Ask for examples of production incidents, API evolution and collaboration with Java or data-platform teams rather than relying on language trivia.
Scala specialists should clarify the Scala version, build setup, core libraries and deployment model before starting. They should also ask who owns architecture decisions, how functional patterns are used, what the testing standard is and whether the work focuses on services, Spark pipelines or a migration.
The average hourly rate of freelancers in Munich, Germany who have used Scala 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 Munich, Germany who have used Scala in their recent projects, 100% hold at least a Bachelor's degree, 86% hold at least a Master's degree, and 21% hold a doctorate.
On average, freelancers in Munich, Germany who have used Scala in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Munich, Germany who have used Scala in their recent projects are German (100%), English (100%), and Russian (40%).
The most common industries among freelancers in Munich, Germany who have used Scala in their recent projects are Information Technology (100%), Retail (73%), and Automotive (67%).
The most common business areas among freelancers in Munich, Germany who have used Scala in their recent projects are Information Technology (100%), Product Development (87%), and Research and Development (67%).
Main locations of FRATCH Experts, who have recently used Scala
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 
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FRATCH CEO
