Scala Experts in Frankfurt
, matched in minutes from over 15,000 CVsHire experts who build type-safe backend services, streaming pipelines and data platforms with Scala, Akka, Play Framework and the wider JVM ecosystem. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Frankfurt, who have recently used Scala
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Ashkan Z.
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Roman K.
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Michael Y.
Last position:
Senior Consultant, Senior DevOps Engineer at DB Regio AG
- Supported implementation and operation of a portal used online and offline in customer-facing vehicles
- Automated processes by introducing CI/CD pipelines
- Provided enablement and methodological guidance for adopting software engineering best practices
- System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
Ritika S.
Last position:
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Global marketing analytics for Hitachi Energy as part of a global data modernization initiative aiming to enhance data retention, historical data availability and provide Eloqua's 2-year retention for remote interaction reporting and analytics.
Analyzed Eloqua's default retention policy and identified risk of data loss for records older than two years.
Designed and implemented historical data preservation strategy by creating transformed tables in the target data platform to archive older data while ensuring data quality dashboards.
Collaborated with the Power BI team to re-point dashboards from raw Eloqua imports to the newly created archival layer.
Leveraged Jira to track and manage data engineering tasks, bugs, and feature requests across Agile sprints; coordinated backlog prioritization and task assignment to align data pipeline development with business needs.
Power BI dashboard optimization:
Worked closely with business stakeholders to assess and understand reporting needs for reverse customer data.
Designed and implemented incremental refresh in Power BI to ensure daily updates without full data reloads.
Collaborated with Azure data engineers to optimize data processing and publication pipelines.
Stakeholder communication & data modeling:
Acted as liaison between Group Data Office and Technology Office to align data modelling standards.
Gathered requirements from data engineering team and participated in weekly status meetings to provide implementation updates and resolve blockers across teams in Germany, Poland, and India.
Documentation & quality assurance:
Prepared end-to-end technical design documentation, data flow diagrams, and Power BI audit guides for future reference.
Participated in UAT sessions with business users to validate data outputs and report accuracy.
Discover over 15,000 top freelancers
Statistics of experts using Scala
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 21 years)
Position duration
1.8 years (Germany: 2.3 years)
Positions per freelancer
16 (Germany: 13)
Top business areas
Information Technology, Business Intelligence, Quality Assurance
Top industries
Information Technology, Healthcare, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
80% (Germany: 95%)
Master's degree or higher
60% (Germany: 71%)
Doctorate
20% (Germany: 13%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, Arabic
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 Frankfurt 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 Frankfurt 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%)
- Healthcare (83%)
- Professional Services (83%)
- Banking and Finance (67%)
- Transportation (67%)
- Energy (50%)
- Insurance (50%)
- Government and Administration (50%)
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 runs on the Java Virtual Machine. It combines object-oriented and functional programming, giving teams concise syntax, strong abstractions and access to established Java libraries. Companies use it for backend services, distributed systems and data-intensive software.
Where Scala fits
Scala is well suited to systems that must process large data flows, coordinate distributed workloads or remain reliable as the codebase grows.
- Backend APIs and microservices
- Event-driven and streaming applications
- Data processing with Apache Spark
- Financial models and risk platforms
- Internal tools connected to JVM systems
Ecosystem and tooling
Scala professionals work across the JVM ecosystem and commonly use sbt for builds, ScalaTest or MUnit for testing, and libraries such as Cats, ZIO or Akka. Apache Spark remains a major choice for batch and streaming data work. Play Framework and http4s support web and service development, while Java interoperability helps teams adopt Scala incrementally.
When companies need specialists
Freelance expertise is useful when a team is introducing Scala, modernising a JVM service or taking ownership of a complex data platform. Specialists can also resolve performance issues, improve type-safe domain models and establish testing or deployment practices.
- A Scala codebase is difficult to extend safely
- Data pipelines need stronger reliability or throughput
- A Java team is adopting functional programming
- Streaming services need clearer operational ownership
What strong professionals deliver
Strong Scala professionals explain trade-offs instead of applying abstractions for their own sake. They design clear domain models, use types to prevent invalid states and keep functional patterns understandable to the wider team. They also understand concurrency, error handling, observability and JVM performance.
Working with Scala experts
A good engagement starts with the runtime context, delivery goals and existing architecture. In Frankfurt, teams may combine remote collaboration with on-site workshops, especially during discovery, migration or knowledge transfer. Look for specialists who can show production work, describe testing decisions and communicate clearly with both technical and business stakeholders.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Scala.
Scala is used for backend services, distributed systems, data processing and event-driven applications. Its JVM foundation makes it practical for products that need access to Java libraries while benefiting from functional programming and strong static types.
Scala offers more concise syntax and deeper support for functional programming than Java. Java may be easier for a broad team to staff and maintain, while Scala can express complex domain logic and concurrency patterns with fewer repetitive constructs.
Scala work often involves sbt, ScalaTest or MUnit, and libraries such as Cats, ZIO or Akka. Depending on the project, useful adjacent knowledge includes Apache Spark, Kafka, REST or gRPC APIs, containers, cloud services and JVM observability.
Scala projects benefit from experienced specialists when the system includes distributed processing, complex domain rules or high concurrency. A smaller service can need less specialised support, but architecture, migration and performance work usually require proven production judgement.
Scala work is well suited to remote collaboration through version control, automated tests, code review and shared delivery rituals. Frankfurt teams can use on-site sessions for architecture or handover while keeping implementation remote, provided communication and documentation are disciplined.
Scala experience should be assessed through production examples, not language familiarity alone. Ask how the specialist handled domain modelling, failures, testing, deployment and performance, and request a clear explanation of the trade-offs behind those decisions.
Scala is a strong fit for data engineering when teams use Apache Spark or need type-safe processing across complex pipelines. It can make transformations easier to reason about, although the best choice still depends on team skills, integration needs and operational constraints.
Scala specialists understand both the language and the design discipline around it. They can use functional techniques selectively, keep abstractions approachable, interoperate with Java when useful and leave behind code that the client team can operate confidently.
The average hourly rate of freelancers in Frankfurt, Germany who have used Scala in their recent projects is 97 €, which corresponds to a daily rate of about 774 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Scala in their recent projects, 80% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Scala in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used Scala in their recent projects are German (100%), English (100%), and Arabic (17%).
The most common industries among freelancers in Frankfurt, Germany who have used Scala in their recent projects are Information Technology (100%), Healthcare (83%), and Professional Services (83%).
The most common business areas among freelancers in Frankfurt, Germany who have used Scala in their recent projects are Information Technology (100%), Business Intelligence (83%), and Quality Assurance (83%).
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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Hamburg 
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