Scala Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Scala
Oleg A.
Last position:
Staff Software Engineer at Kpler Germany GmbH
- Delivered a new notifications platform implementation built from scratch to replace existing and upcoming services
- Collaborating with other teams to integrate more domains
Tech stack:
- Data: Scala 3, Apache Kafka, Python, Airflow, Astronomer
- BE-FE: TypeScript, NestJS, Java, Spring Boot, Vue
- Dev-ops: AWS, PostgreSQL, Docker, GitHub Actions, Kubernetes, Helm, ArgoCD
Santhosh K.
Last position:
Freelance Software Engineer at Zalando SE
- Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
- Optimise k8s resources and integrate native Prometheus metrics with OPA
- Migrate from internal monitoring solution to Prometheus CRs + Dash0
Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana
Raphael M.
Last position:
Founder / Quant Developer at Market Maker
- Crypto quant strategy development, automated trade execution, onchain data client (Ethereum / Solana)
- Data and trade architecture development for liquidity provision
Nune I.
Last position:
Fractional CTO at OpsWorker
OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.
Benjamin F.
Last position:
Freelance Product Manager, Product Owner, Scrum Master & Agile Coach at Freelance
Freelance product owner, scrum master and agile coach in various projects spanning from local agencies to multinational corporations in diverse industries.
Last projects:
Adevinta: Technical Project Manager responsible for coordination of several sub-workstreams building the world’s largest classifieds multi-tenant platform.
Aroundhome (a ProSiebenSat.1 company): Product Manager implementing and verifying on the business side a concept for digital qualification of user requests for matching service providers.
Peek & Cloppenburg Düsseldorf: Product Manager Mobile advising on and guiding the rebuild of Android and iOS apps.
Visual Meta GmbH (an Axel Springer company), Berlin: Director Product co-leading the Product & Engineering department together with the Director Engineering.
Responsibilities at Visual Meta GmbH:
Define and deliver a 3–5 year horizon product strategy including a product vision & mission connecting to existing company strategy and strategies from adjacent departments.
Refine an existing OKR process together with OKR master and directors of other departments to increase focus and outcome.
Support the Director Engineering in creating a platform transformation strategy to transform a monolithic on-premise tech stack into a service-oriented, cloud-based architecture and establish a domain-based organizational setup.
Accountability for a motivated and talented team of 5 head-level colleagues and 17 operational team members from product management, data and UX/UI design.
Key achievements at Visual Meta GmbH:
Defined and delivered a 3–5 year horizon product strategy including a product vision & mission.
Increased focus within OKR process by moving from 10 company-level objectives to 2 and from several hundred team-level key results to a few dozen.
Created a career path framework for the product team defining roles and responsibilities from junior to head level positions.
Qaiser A.
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Jan H.
Last position:
Technical Co-Founder at Telemarie UG
- Technical leadership & SW architecture: Conducted trade-off analyses for technology stacks and led the design and implementation of the software architecture, including mobile and backend solutions. Facilitated Event Storming workshops for DDD and SW architecture.
- Strategic direction & organizational development: Played a key role in defining the strategic direction of the product and organization, exploring new forms such as ownership responsibility.
- Lean Startup & Agile development: Introduced Lean and Agile principles, implemented Lean prototypes, and ensured compliance with Lean Startup processes, iteratively moving from Product/Solution-Fit to Product/Market-Fit.
- Team building & collaboration: Facilitated workshops, retrospectives, and futurespectives to collaboratively develop tactics and strategies.
- Technologies: Flutter, JS/TS, React, Google Cloud, Firebase, Android, iOS.
- Organizational methods: Lean startup, lean canvas, lean agile, event storming, retrospectives.
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
Meisam G.
Last position:
Senior AI Engineer / Data Scientist at Geeks Ltd (WordUp)
Geeks Ltd is a UK-based technology company; WordUp is its AI-driven language-learning product focused on personalized vocabulary learning and intelligent educational experiences.
- Coordinate AI product delivery across Product, Engineering, Data, Operations, and leadership, translating user needs into scoped initiatives, sequencing work, surfacing blockers, facilitating hand-offs, and communicating progress.
- Own search, recommendation, retrieval, and content-enrichment features end to end, from requirements and architecture through Python/FastAPI implementation, testing, deployment, monitoring, and rapid iteration.
- Developed low-latency retrieval, ranking, and personalization services using AWS, OpenSearch, DynamoDB, embeddings, and reusable APIs, achieving <1s latency, 22% higher engagement, and 12% higher premium conversion.
- Use AI coding assistants for codebase analysis, scaffolding, refactoring, tests, debugging, and documentation while reviewing every output for correctness, architectural fit, security, maintainability, and user value.
- Represent technical work in planning and stakeholder discussions, gather requirements first-hand, challenge priorities constructively, explain delivery trade-offs, and help teammates make outcome-focused decisions.
Kalyani K.
Last position:
Assistant Vice President at Deutsche Bank
- Technologies: Java, React, Python, Scala, Spring Boot, JPA, microservices, Kubernetes, Docker, OpenShift, Eureka, Prometheus, Grafana, Zookeeper
- Led the design and development of enterprise wide data warehouse platform for efficient and secure data sharing using stateless, event-driven microservices architecture
- Served as component guardian and Scrum master for three microservices, ensuring seamless integration and maintaining high data integrity
- Optimized performance through Prometheus and Grafana, achieving measurable system resilience
Ilya I.
Last position:
Data/Platform/Software Engineer/SRE at IT Consulting
- Designed a platform based on IoT, Azure, Kubernetes, and Postgres for an existing application
- Migrated from "click-ops" and UI-defined CI/CD pipelines to infrastructure-as-code with Terraform, enabling complete redeployment of multiple environments
- Technologies: Terraform, OpenTofu, Azure, Azure DevOps, Kafka, IoT, Kubernetes, Grafana, Prometheus, GitOps, relational databases
Henning P.
Last position:
Backend Systems Development at Deutsche Bank/DWS/Morgenfund
- Developed backend systems for the DWS Investment App, a white-label investment solution (robo-advisor), and an investment solution for institutional clients.
- Java 8-17, Kotlin, Spring Boot, Spring MVC, OpenAPI 3.0, JPA, JDBI, Oracle, Hazelcast, JXLS, Apache POI, Apache PDFBox, Apache Kafka & Avro, Active MQ, Elasticsearch, React Native, Spock Test, IntelliJ IDEA, Kubernetes, Helm, Microservices/Netflix-Stack, TeamCity, Splunk.
- Kanban team, continuous integration.
- Migrated existing applications from Deutsche Bank's private cloud environment to Azure as part of a carve-out.
Philipp G.
Last position:
Head of Product; Member of the Board at Smart Insurtech AG
- Large InsurTech provider
Discover over 15,000 top freelancers
Statistics of experts using Scala
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 21 years)
Position duration
2.7 years (Germany: 2.3 years)
Positions per freelancer
9 (Germany: 13)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
75% (Germany: 71%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
English, German, Spanish
Speak two or more languages
92% (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 Berlin 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 Berlin 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 (92%)
- Banking and Finance (69%)
- Retail (54%)
- Media and Entertainment (46%)
- Automotive (38%)
- Education (38%)
- Energy (23%)
- Fashion (23%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Scala is
Scala is a statically typed language that combines object-oriented and functional programming on the Java Virtual Machine. It is used for backend services, distributed systems, data processing and applications that need strong type safety with concise code. Scala interoperates directly with Java libraries and existing JVM infrastructure.
Where it fits
Scala appears in systems that process large data volumes, coordinate asynchronous workloads or require reliable domain logic.
- Distributed backend services and APIs
- Apache Spark data pipelines and analytics
- Event-driven systems and streaming workloads
- Financial, retail and logistics platforms
- Internal tools built around JVM services
Ecosystem and tools
The ecosystem includes sbt for builds and dependency management, ScalaTest and MUnit for testing, and libraries such as Cats, ZIO and Akka. Apache Spark remains a major part of Scala data work, while Play Framework supports web applications and HTTP APIs. Strong professionals also work comfortably with Java, SQL, Kafka, Docker and cloud infrastructure.
When to bring in expertise
Companies often seek freelance Scala specialists when a distributed service needs a redesign, a Spark pipeline has become difficult to maintain or a team is adopting functional programming practices. They can also support Java-to-Scala migration, performance investigations, test strategy and knowledge transfer. In Berlin, remote collaboration is common, while some teams need on-site workshops for architecture or delivery coordination.
What good work includes
Quality Scala work starts with clear domain models, controlled effects and types that make invalid states difficult to represent. Strong professionals keep abstractions useful rather than clever, document important trade-offs and test failure paths in concurrent code. They understand JVM performance, observability and operational concerns, not only language syntax.
Choosing a specialist
Look for evidence of production systems rather than examples limited to language exercises. Ask how the professional approaches error handling, API evolution, streaming guarantees, Spark partitioning and deployment. A good match can explain trade-offs between Scala, Java, Kotlin and other JVM options in terms of the system’s constraints, team skills and long-term maintenance.
Frequently asked questions
Key details about Scala, drawn from the questions we get asked most.
Scala is commonly used for backend services, distributed systems, data platforms and event-driven applications. It is also widely used with Apache Spark for batch processing, analytics and streaming workloads.
Scala offers stronger functional programming features and a more expressive type system than Java, while Kotlin generally aims for a gentler learning curve and broad Android adoption. All three run on the JVM and can share libraries, so the right choice depends on team skills, existing services and the required programming model.
Scala work often requires knowledge of the JVM, Java libraries, SQL, Kafka, Docker and cloud deployment. For data projects, Apache Spark, storage formats and workflow orchestration are also important. Backend specialists may bring experience with Akka, ZIO, Cats, Play Framework and observability tools.
Scala projects do not all need the same level of experience. A small service with clear requirements may suit a professional familiar with JVM development, while distributed systems, effect-heavy codebases and Spark performance work call for someone who has handled those problems in production.
Scala specialists can collaborate remotely through code review, design sessions, documentation and shared delivery rituals. Berlin teams should clarify time-zone overlap, communication language and whether occasional on-site workshops are needed before work begins.
Scala can be a strong choice when a system needs expressive domain modeling, Java interoperability, concurrency and high-volume data processing. It may be less suitable when a team needs a very simple hiring market, minimal language complexity or a small script rather than a long-lived service.
Scala quality is visible in readable types, focused abstractions, reliable tests and clear handling of failure and concurrency. Review how the professional explains trade-offs, measures performance and designs for operations, rather than judging code only by how concise it looks.
Scala opportunities in Berlin often involve fintech, commerce, mobility, logistics and data-intensive products, though project needs vary by company. Professionals should be ready to work with JVM teams, explain functional concepts clearly and adapt to remote or hybrid collaboration and the client’s working language.
The average hourly rate of freelancers in Berlin, Germany who have used Scala in their recent projects is 100 €, which corresponds to a daily rate of about 803 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Scala in their recent projects, 100% hold at least a Bachelor's degree and 75% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Scala in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Berlin, Germany who have used Scala in their recent projects are English (100%), German (92%), and Spanish (15%).
The most common industries among freelancers in Berlin, Germany who have used Scala in their recent projects are Information Technology (92%), Banking and Finance (69%), and Retail (54%).
The most common business areas among freelancers in Berlin, Germany who have used Scala in their recent projects are Information Technology (100%), Product Development (92%), and Business Intelligence (62%).
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.
Hamburg 
Munich 
Frankfurt Request a free demo
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FRATCH CEO
