Scala Experts in Munich
, matched in minutes by AIHire experts who design type-safe backend services, build Apache Spark data pipelines and work with Akka or Play Framework. FRATCH connects you with vetted, available freelancers whose Scala experience matches your technical and delivery needs.
Meet FRATCH Experts in Munich, who have recently used Scala
Hachem S.
Last position:
Machine Learning & BI Lecturer at EU Business School
- Taught ML, BI, and Big Data to Master's students.
Tech: Python, Power BI, SQL, ML, SnowflakeDB, databricks, MS Fabric, MongoDB, LLM
Valery K.
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development 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:
Data Scientist & 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
- Development of feature store and data synchronization between environments
- Data science: evaluation of different forecasting models, including CatBoost, Contextual Gamma and Random Forest; implementation of training pipelines using Kubeflow on Vertex AI; scaling and development of an event-driven interface using Kafka as a forecasting service; evaluation of MLFlow for model tracking and model registry
- Implementation of REST API using KeyCloak OAuth2 and OpenID (JWT)
- Monitoring: implementation of dashboards with Grafana, Prometheus, Mimir, Streamlit and Loki to monitor prediction metrics, GCP and Snowflake costs for pipelines, and system metrics
- Development of Copilot Agent Skills
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.
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
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
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
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).
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)
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
Discover over 15,000 top freelancers
Statistics of experts using Scala
Aggregated from the professional profiles of matched freelancers.
Experience
22 years (Germany: 21 years)
Position duration
2.1 years (Germany: 2.3 years)
Positions per freelancer
16 (Germany: 13)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Automotive, Retail
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
87% (Germany: 71%)
Doctorate
20% (Germany: 13%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 97%)
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 Munich 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 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 29 Oct 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%)
- Automotive (69%)
- Retail (69%)
- Education (44%)
- Energy (44%)
- Banking and Finance (44%)
- Media and Entertainment (44%)
- Manufacturing (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Scala is
Scala is a statically typed programming language that combines object-oriented and functional programming on the Java Virtual Machine. It is used for resilient backend services, distributed systems, data platforms and applications that need concise code with strong compile-time checks. Scala interoperates directly with Java and runs alongside established JVM tooling.
Where it fits
Scala is common in systems that process events, transform large datasets or serve many concurrent requests. Companies use it for financial services, logistics, telecommunications, retail and other domains where reliability and throughput matter.
- Build APIs and backend services
- Process data with Apache Spark
- Implement streaming and event-driven systems
- Develop domain-heavy business software
Ecosystem and tools
The Scala ecosystem includes sbt for builds, dependency management and testing, along with ScalaTest, MUnit and the Scala compiler. Specialists may work with Cats, ZIO, Akka, Play Framework, Kafka and Apache Spark. Java libraries, Maven repositories, Docker and Kubernetes often form part of the same delivery environment.
When to bring in an expert
Freelance expertise helps when a team is introducing Scala to a JVM estate, modernising a service or taking ownership of a complex data pipeline. It is also valuable when internal teams need help with functional design, performance tuning, production incidents or a safe migration between Scala versions.
- Establish project structure and coding standards
- Review concurrency and effect-handling choices
- Improve Spark jobs and streaming workloads
- Integrate Scala services with Java systems
What strong professionals deliver
Strong Scala professionals make types and abstractions serve the business domain rather than adding complexity for its own sake. They write readable functional code, choose suitable libraries and explain trade-offs clearly. Their deliverables can include service designs, tested modules, data pipelines, deployment changes and documentation that another team can maintain.
Working in Munich
Munich companies often need Scala for finance, mobility, industrial software, media and data-intensive products. A freelancer can collaborate remotely or join an on-site team when architecture workshops, production work or stakeholder communication benefit from closer contact. German and English language expectations should be agreed before the engagement begins.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Scala.
Scala is used to build JVM backend services, distributed applications, data pipelines and event-driven systems. It is especially useful when teams need strong typing, functional programming features and direct access to Java libraries.
Scala offers functional programming constructs, concise syntax and powerful type modelling while remaining compatible with the Java Virtual Machine. Java may be easier to staff and simpler for conventional applications, whereas Scala can express complex domain and concurrency logic more compactly when the team has the right expertise.
Scala is a strong fit for Apache Spark workloads because Spark has deep Scala integration and supports typed data transformations. A specialist should also understand distributed execution, partitioning, schema design, testing and the operational limits of the surrounding data platform.
A capable Scala freelancer often brings experience with Apache Spark, Kafka, SQL, Docker, Kubernetes and cloud services. Depending on the assignment, knowledge of Akka, ZIO, Cats, Play Framework, observability and Java integration may be just as important.
The right level of Scala experience depends on the system’s risk and complexity, not on a fixed number of years. A small service may need focused delivery skills, while a distributed platform or migration calls for proven architecture, performance, testing and production ownership.
Scala work is often suitable for remote collaboration because code, tests, builds and infrastructure can be reviewed online. On-site sessions in Munich can still help with domain discovery, architecture decisions and coordination with teams working on connected systems.
Review whether Scala code is understandable, well tested and proportionate to the problem it solves. Look for clear domain models, disciplined use of effects and concurrency, reliable error handling, useful documentation and evidence that the professional can operate the system after deployment.
A Scala freelancer should confirm the Scala version, Java runtime, build tool, framework choices and deployment model. They should also clarify the domain, service boundaries, data contracts, testing expectations, production responsibilities and whether communication with a Munich-based team is remote, hybrid or on-site.
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 815 € 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, 87% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Munich, Germany who have used Scala in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.1 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 (38%).
The most common industries among freelancers in Munich, Germany who have used Scala in their recent projects are Information Technology (100%), Automotive (69%), and Retail (69%).
The most common business areas among freelancers in Munich, Germany who have used Scala in their recent projects are Information Technology (100%), Product Development (88%), and Research and Development (63%).
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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Philipp Thomaschewski
FRATCH CEO
