Scala Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Scala
Serge Kalinin
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
Mohamad Dib-Skhni
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 Schulz
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 Kelemen
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
Pavlo Voznenko
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 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)
Ivan Demchenko
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.
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).
Valentin Pfeil
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 Nasahl
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
Andreas Kraus
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
Position duration
1.9 years (Germany: 2.2 years)
Positions per freelancer
17 (Germany: 14)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Automotive, Retail
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 93%)
Master's degree or higher
82% (Germany: 69%)
Doctorate
27% (Germany: 12%)
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 96%)
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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What Scala is
Scala is a programming language for the Java Virtual Machine. It blends object-oriented and functional styles, which makes it a fit for service backends, data pipelines, and event-driven systems. Teams also choose Scala when they want strong typing and concise code in one codebase.
Where it fits
- Backend services and APIs
- Stream processing and batch jobs
- High-throughput JVM applications
- Domain-heavy business systems
Scala often appears in systems that need safe refactoring and careful modeling. It is common in data platforms, fintech, mobility, and other environments that rely on the JVM ecosystem.
Ecosystem and tools
Scala work usually touches sbt, Maven, or Gradle, plus testing tools such as ScalaTest and Specs2. Many projects also use Akka, Play Framework, Cats, or ZIO, and some teams add Apache Spark for large-scale data work. Strong specialists know how these pieces interact with Java libraries and build pipelines.
When to bring in specialists
Companies bring in freelance Scala experts when a codebase needs modernization, production support, or a difficult feature that spans several modules. They are also useful for migration work from older Scala versions, build fixes, performance tuning, and reviews of concurrency or type design. In Munich, this often matters for teams that need focused help without long onboarding.
What strong professionals do
A strong Scala specialist writes clear, testable code and keeps functional patterns practical. They understand type safety, immutability, concurrency, and the trade-offs between concise syntax and readability. They also document decisions well, which helps mixed teams of Scala and Java experts stay aligned.
What to look for
- Real production work with Scala on the JVM
- Experience with APIs, streams, or data jobs
- Familiarity with build tools and test frameworks
- Good judgment on readability and maintainability
The best professionals can explain why they chose a library, a pattern, or a data model. They should also be able to work with existing Java code and fit into an established delivery process.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Scala.
Scala is used for backend services, data processing, event-driven systems, and other JVM-based software where type safety matters. Many teams use it for APIs, streaming jobs, and domain-heavy business logic. It is especially useful when a codebase needs both concise code and strong structure.
Scala is usually chosen when a team wants more expressive code and stronger support for functional patterns than plain Java offers. Java is often easier for broad staffing, while Scala can be a better fit for complex modeling and data flow. If a project already uses JVM libraries, a Scala expert can often work alongside Java specialists without replacing the whole stack.
Scala freelancers are a good fit when a team needs help with a difficult feature, a legacy codebase, build issues, or a migration between Scala versions. They are also useful for performance tuning and code reviews in systems that must stay stable. A short engagement can add a lot of clarity before a larger internal effort starts.
A strong Scala specialist usually knows the JVM ecosystem, Git, testing, and build tools such as sbt. Depending on the project, experience with Akka, Play Framework, Cats, ZIO, or Spark can matter a lot. Java knowledge is also important because many Scala systems integrate with Java libraries and services.
Yes, Scala is most often used for backend services, stream processing, and data pipelines. It can also support front-end tooling or shared libraries, but that is less common in hiring requests. For companies in Munich, the strongest demand usually comes from JVM services and data-heavy product teams.
Scala work can be done remotely in many cases, especially for feature development, reviews, and migration tasks. On-site collaboration can help when the codebase is complex, the team is mixing languages, or the system supports sensitive business processes. In Munich, many teams choose a hybrid setup and keep the expert close during key workshops.
A good Scala specialist writes code that is easy to read, tests edge cases, and explains trade-offs clearly. Look for work on real services, not only toy examples, and ask how they handle concurrency, error handling, and dependency choices. Strong professionals can also review an existing codebase and point to concrete improvements quickly.
A Scala freelancer should expect a mix of functional programming, JVM integration, and close collaboration with product or platform teams. Many projects ask for code review discipline, clean testing, and careful handling of existing architecture. The best assignments are the ones where the expert can improve both delivery speed and code quality.
The average hourly rate of freelancers in Munich, Germany who have used Scala in their recent projects is 102 €, which corresponds to a daily rate of about 819 € 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, 82% hold at least a Master's degree, and 27% 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 1.9 years.
The most common languages among freelancers in Munich, Germany who have used Scala in their recent projects are German (100%), English (100%), and Spanish (36%).
The most common industries among freelancers in Munich, Germany who have used Scala in their recent projects are Information Technology (100%), Automotive (82%), and Retail (64%).
The most common business areas among freelancers in Munich, Germany who have used Scala in their recent projects are Information Technology (100%), Product Development (82%), and Project Management (64%).
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.
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