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Data Systems Scala Developers in Germany
Built through years working with teams and engineers in the Scala ecosystem.
We specialize in functional backend systems, data platforms, and distributed infrastructure.
Focused, relevant introductions from a curated network.
Available Developers
Staff Data Engineer
Architected large-scale data pipelines using Apache Spark and Scala, optimizing for real-time analytics in the e-commerce domain. Spearheaded the migration of data infrastructure to Databricks, enhancing processing speed and reliability. Developed a custom data validation framework in Python, ensuring data integrity across distributed systems.
- Implemented Rust-based data transformation tools for performance gains
- Designed SQL-based ETL workflows for complex data models
- Automated data quality checks using custom-built Python scripts
Backend/Data Engineering Consultant
Specialized in building real-time data pipelines using Kafka and Scala for analytics platforms. Implemented Kubernetes orchestration to streamline deployment of microservices for backend systems.
- Built real-time data pipelines with Kafka
- Implemented Kubernetes orchestration
- Streamlined microservices deployment
Lead Data Systems Engineer
- Led migration of monolithic system to microservices architecture
- Built high-throughput data pipeline processing 1M+ events per second
- Designed and implemented real-time monitoring and alerting platform
Scala Backend Developer
Decomposed a high-traffic monolith into five standalone services using purely functional Scala, improving deployment frequency while maintaining resilience and test coverage. Delivers backend systems through production operations, including releases, on-call ownership, and postmortem-driven reliability work.
- Reduced incident recovery time from 1.4 hours to 15 minutes
- HTTP APIs built with http4s, Tapir, Circe, and protobuf
- Database access using doobie across PostgreSQL and Cassandra
- Kafka-based event-driven integrations with Redis caching
Software Engineer
Specialized in building high-performance systems using Rust and Go for cloud-native applications. Developed low-latency network services with C and Python for real-time data processing. Optimized JVM-based applications in Scala for maximum throughput.
- Implemented concurrency models to enhance system parallelism
- Led adoption of Rust for memory-safe system programming
- Architected distributed systems for large-scale data analytics
Senior Software Engineer & Solution Architect
Architected distributed systems for real-time financial data processing, achieving sub-millisecond latency. Designed scalable microservices architecture for cloud-native applications, integrating Rust and Scala for high-performance computing. Spearheaded development of a domain-specific language for automated financial reporting, leveraging F# for functional programming paradigms.
- Implemented event-driven architecture for IoT data ingestion.
- Optimized .NET Core applications for cloud environments.
- Developed consensus algorithms for blockchain-based systems.
Product Engineer
Led development of cross-platform applications, leveraging Scala and Java for backend services. Spearheaded the migration of legacy systems to modern microservices architectures.
- Integrated Node.js services with existing Java infrastructures
- Automated deployment pipelines using TypeScript and Python
- Enhanced scalability with Kotlin-based microservices