06/29/2026 updated
100 % available
Senior Software Engineer - Data, Backend & Platform
La Quinta, Santa Ursula, Spain (Canary Islands)
Worldwide
Fachinformatiker, AnwendungsentwicklungAbout me
Go, Python, SQL, AWS, Docker und Kubernetes, mit nachweisbaren Erfolgen in den Bereichen ETL/ELT, Analysespeicher, georäumliche Suche und Plattformautomatisierung. Erfahrung in Remote-Produktteams; Deutsch C1 – sicherer Umgang mit Kunden und Stakeholdern im DACH-Raum.
JavaScriptPHPLinuxDevOpsElasticsearchGitHubPython (Programming Language)Kernel-Based Virtual MachinePostgreSQLLinux AdministrationMongoDBNode.jsPostGISQuick EMUlator (QEMU)Redis
Backend Development & Cloud Architecture
Expertise in Go, Python, SQL, AWS services including Lambda, ECS, Fargate, S3, Kubernetes, Docker, and Terraform for scalable backend and cloud systems
Data Engineering & Analytics
Advanced skills in ETL/ELT processes, PostgreSQL, PostGIS, TimescaleDB, ClickHouse, DuckDB, Apache Kafka, Elasticsearch, and data pipeline optimization
DevOps & Platform Engineering
Comprehensive experience with CI/CD automation, observability tools like Grafana, Loki, Promtail, GitHub Actions, Linux administration, and microservices architecture
Programming Languages
Proficiency in TypeScript/JavaScript, C#/.NET, Bash, Java, Kotlin, PHP, HTML/CSS for diverse development needs
Database Technologies
Experience with PostgreSQL, MySQL, MS SQL, Oracle, MongoDB, Redis, Qdrant, and various database optimization techniques
Visualization
KVM, QEMU (inc. in docker), VirtualBox, VM Ware. Hardware and Networking setup.
AI & Automation
Knowledge of Agents-Review, RAG, vLLM, Ollama, OpenAI, MCP, OCR, n8n, and GDPR-aware data handling
Web Technologies
Skills in Vue.js, React, Node.js, WebGIS development and internal tooling
Networking & Security
Understanding of TCP/UDP, HTTP, WebSocket, SSH, VPN technologies, routing, and HA clusters
Experience
Professional experience5 - 10 years
Freelancer since2017
Languages
GermanBasic knowledgeEnglishFluentRussianNative speakerUkrainianFluent
Project history
Built PostgreSQL/TimescaleDB/ClickHouse/DuckDB/Parquet/Redis/Grafana analytics stack, implemented near-real-time Go/Python ETL/ELT Docker services, delivered agentic AI workflows, and automated CI/CD with observability across 6+ services
Developed enterprise data pipelines on Kubernetes processing 10M+ records with 99.9% data-quality coverage, optimized ETL/ELT reducing report processing time by 60%, and introduced test-first practices
Engineered Go geospatial search backend over 80M+ addresses with <20 ms response times, optimized PostgreSQL/PostGIS/SQLite workloads, migrated legacy .NET services toward AWS serverless patterns, and delivered real-time WebGIS UI