PostgreSQL Experts in Zurich
matched in minutes from over 15,000 CVsHire experts who design resilient schemas, tune complex queries and connect PostgreSQL with cloud applications, analytics pipelines and business-critical systems. FRATCH finds vetted, available freelancers whose experience fits your technical needs quickly and precisely.
Meet FRATCH Experts in Zurich, who have recently used PostgreSQL
Gwang Jin K.
Last position:
Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent
- Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
- Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
- Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
- Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
- Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
- Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
- Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
- Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Mohamad K.
Last position:
Senior Backend Developer at Standing on Giants
- Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
- Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
- Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
- Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
- Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
- Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
- Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
- Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
- Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
- Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
- Developed and optimized Algorithms using python libraries like Numpy and Pandas.
Christoph P.
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Robin O.
Last position:
Co-Founder & AI Solutions Architect at airdys
- Product strategy, architecture, and technical co-direction
- AI workshops, client onboarding and go-to-market activities
- Design and implementation of AI architectures (LLMs, RAG, MCP, agents, voice, automation)
- Hands-on development of prototypes and production-ready AI integrations
- Consulting clients on AI adoption, workflows, and integration into existing infrastructure
- Collaboration with co-founders on strategic direction
- Collaboration in sales and customer acquisition
Tools and Technologies: OpenAI, Anthropic, Azure, Vercel AI SDK, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), FastAgent, VAPI, n8n, make.com, LibreChat, PostgreSQL, OpenAPI, Next.js, Vercel, Docker
Ahmed R.
Last position:
AI & Automation Engineer at Teosek GmbH
- Build prototypes, expand AI skills, and practical application in a startup context.
- Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
- Technologies: LangChain, REST, Python, Java, JS, TS, Node.
Claus N.
Last position:
Oracle Database Engineer at BBV.ch
- Migration of databases from ODA to ExaData
- Migration of databases from ExaData to ExaCC/OCI
- Decreased UCC usage by 10%
- Developing automation scripts using Python
- Performance tuning
- Shrunk development databases from 6 TB to 3 TB using Exadata columnar compression
- Tuned application performance by 30% using inmemory option
- Tuned non-production Exadata by 20% to release CPU resources before ExaCC migration
- Database patching of Oracle 19c
- Basic Ansible scripting for deployments and database cloning
- Developing acconting model for shared Oracle platform
- Migrating single-instance databases to Oracle RAC
- Analysis of RAC issues
- Advising development teams of how to migrate to RAC
Matthias I.
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Csaba K.
Last position:
ServiceNow Consultant at DXC
- Worked in mixed teams with several clients
- Performed requirement engineering, proposal and time estimation
- Developed ACLs, business rules, flows, workflows, catalog items, various scripts, UI actions, policies, scoped applications
- Customized mobile apps: Now Agent and Now Mobile
- Implemented integrations using the Integration Hub
- Coordinated continuously with clients during development
- Performed testing and helped clients with testing
- Deployed to production and applied main version upgrades and patches
- Managed CMDB, domain separation and asset management
- Integrated between instances at different clients
- Developed GlideScript: business rules, scripted REST endpoints, extension points, fix scripts, background scripts
Alejandro A.
Last position:
AI Researcher & Engineer at Tufa Labs
- Deployed and optimized the inference stack on a multi-node DGX B200 cluster across vLLM and SGLang (serving, throughput and latency tuning).
- Built, with a small team, an internal Python library for LM pretraining covering the full training loop: distributed training with PyTorch FSDP, data pipelines, checkpointing, config and hyperparameter management, and experiment tracking.
- Built and evaluated agent scaffolds on interactive game benchmarks similar to ARC-AGI-3, with metrics for how models plan, explore and adapt across multi-step episodes; classified model errors and fed the findings back into scaffold and evaluation design.
- Researched looped transformer architectures.
Ala L.
Last position:
VR/AR/ML Project Site Lead (contract by Experis) at Meta
- Acted as project lead in different internal projects, including the development and implementation of innovative solutions based on machine learning, virtual and augmented reality with the aim of providing great user experience
- Drove project planning, execution and reporting, designed risk mitigation and schedule adjustment plans to bring the projects on the green path
- Directed the process optimization and conducted project reviews by being the liaison between engineering teams and executive stakeholders
- Served as agile coach and led the scrum ceremonies such as daily stand-ups, sprint planning, sprint review and sprint retrospective
Ioannis K.
Last position:
Algorithms Development Expert, Research & Development at Reishauer AG
- Mathematical specification and definition, analysis and software development of the skiving cutter tool motion planning within the skiving machine for simultaneous and sequential gear flank processing
- Twist-free topological manufacturing
- Workpiece flank line modifications
- Workpiece flank line and profile corrections
- Workpiece tooth thickness deviations
- Computer vision algorithms for automatic wear detection of the skiving cutter tool
- Software development for corrections of the machine kinematics for the profile grinding product series, including twist-free grinding
- Software development for corrections of the machine kinematics, quality measurement and evaluation for the slot grinding product series
- Performance analysis and continuous improvement of internal design tools (RTDesign)
- Tools used: C#, .NET, TeamCity, git, PostgreSQL, MySQL
Nenad T.
Last position:
Contractor at Swisscom
- SAP Data Designer ETL, SQL Server, Docker for PharmaSuisse Data Warehouse Application (Application Manager and Developer)
- SAP Business Objects, ABAP on SAP HANA for the Police of the Canton of Bern (Application Manager and Developer)
- Avaloq Connectors to SAP BW for Banque Cantonale de Fribourg
Milica M.
Last position:
Full-Stack Developer at Holycode
- Contribute to a cross-functional team building a cloud-based bookkeeping platform for SMEs
- Design and implement Java Spring Boot microservices with clear separation of concerns
- Integrate core services via REST and gRPC APIs
- Implement event-driven workflows using RabbitMQ for reliable, decoupled messaging
- Model and manage transactional data in PostgreSQL and leverage Redis for caching
Mateusz L.
Last position:
Project Lead Developer at PwC
- Took over the analyst and leading developer role in an innovative project helping detection of financial fraud in a major financial institution in Zurich with assistance of artificial intelligence
- Analyzed and implemented new modules, improved performance and user experience, elevated technical documentation and code quality to the standard required by the end client
- Technologies: Java 17, JavaFX, Spring Boot, concurrency, UX, Gradle, Impala
Discover over 15,000 top freelancers
Statistics of experts using PostgreSQL
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.3 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
92%
Doctorate
8%
Certifications per freelancer
4
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Zurich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Discover detailed PostgreSQL rate benchmarks:
Explore rate insightsAverage rates of experts in Zurich using PostgreSQL
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
PostgreSQL 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 (93%)
- Banking and Finance (86%)
- Healthcare (50%)
- Education (43%)
- Professional Services (43%)
- Government and Administration (43%)
- Insurance (29%)
- Media and Entertainment (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Relational foundation
PostgreSQL is an open-source object-relational database used to store, query and protect structured business data. Often called Postgres, it combines strong SQL support with transactions, constraints, indexing and extensibility. Companies use it for customer platforms, financial systems, operational applications and data-heavy services.
Systems and workloads
PostgreSQL supports web and mobile backends, internal tools, SaaS products, reporting services and geospatial applications. It handles transactional workloads as well as carefully designed analytical queries, often alongside caching, search or data warehouse systems.
- Design normalized or purpose-built schemas
- Build secure APIs and application data layers
- Model spatial data with PostGIS
- Plan migrations, replication and recovery
Tools and ecosystem
Strong PostgreSQL specialists work across SQL, PL/pgSQL, indexing and query planning. They may also use PostGIS, TimescaleDB, logical replication, connection poolers and migration tools. Familiarity with Docker, Kubernetes, cloud database services and observability helps them fit PostgreSQL into a wider environment.
When expertise matters
Companies bring in freelance PostgreSQL experts when a database has become slow, difficult to change or too important to manage by trial and error. They can review a schema, diagnose locks and resource pressure, prepare a migration, or establish backup and recovery practices. In Zurich, this can support teams that need close collaboration on regulated, financial or operational systems while keeping parts of the work remote.
Delivery and collaboration
A capable professional turns requirements into clear data models and explains trade-offs before implementation. They document assumptions, test migrations on realistic data and coordinate with application, infrastructure and analytics specialists. Remote work is effective when access, ownership and deployment routines are defined; on-site sessions can help with complex discovery and stakeholder alignment.
Signs of quality
Look for evidence of careful database design rather than familiarity with syntax alone. Strong PostgreSQL professionals can explain why an index helps, when a constraint belongs in the database, and how a recovery plan would be tested.
- Reviews execution plans and measures before tuning
- Protects data with permissions, constraints and tested backups
- Plans backward-compatible schema changes
- Communicates risks in clear business terms
Frequently asked questions
Everything clients usually want to know about PostgreSQL, in one place.
PostgreSQL is used for applications that need reliable, structured data and expressive SQL. Common examples include SaaS products, payment and finance systems, customer platforms, reporting tools, geospatial services and internal business applications.
PostgreSQL generally offers broader SQL support, stronger extensibility and advanced data types, while MySQL is also widely used for transactional web applications. The right choice depends on workload, existing tooling, team skills, hosting options and the complexity of the data model.
A company may need a PostgreSQL freelancer for schema design, query tuning, a difficult migration, replication, backup planning or a production incident. External expertise is especially useful when database decisions affect application performance or business continuity.
A strong PostgreSQL specialist often understands application frameworks, SQL, Linux, networking and cloud infrastructure. Experience with PostGIS, Docker, Kubernetes, data pipelines, monitoring and security can also matter, depending on the system.
The required PostgreSQL experience depends on the risk and scope of the work, not just the database’s presence in the technology stack. A schema review may need focused specialist knowledge, while a high-availability migration calls for proven production operations and recovery planning.
PostgreSQL work is often suitable for remote collaboration when the specialist has secure access, clear documentation and a controlled deployment process. Teams in Zurich may still prefer on-site workshops for discovery, incident reviews or coordination across business and technical stakeholders.
Ask a PostgreSQL freelancer to explain a past schema decision, a query-tuning method and how they would test a migration or restore. Look for structured reasoning, careful measurement, secure defaults, readable documentation and willingness to discuss trade-offs rather than promising a universal fix.
PostgreSQL can support both through extensions such as PostGIS for geospatial workloads and TimescaleDB for time-series use cases. A specialist should assess data volume, retention, query patterns and operational needs before choosing extensions or a separate system.
The average hourly rate of freelancers in Zurich, Switzerland who have used PostgreSQL in their recent projects is 108 €, which corresponds to a daily rate of about 867 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used PostgreSQL in their recent projects, 100% hold at least a Bachelor's degree, 92% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used PostgreSQL in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Zurich, Switzerland who have used PostgreSQL in their recent projects are English (100%), German (86%), and French (43%).
The most common industries among freelancers in Zurich, Switzerland who have used PostgreSQL in their recent projects are Information Technology (93%), Banking and Finance (86%), and Healthcare (50%).
The most common business areas among freelancers in Zurich, Switzerland who have used PostgreSQL in their recent projects are Information Technology (100%), Product Development (93%), and Project Management (64%).
Main locations of FRATCH Experts, who have recently used PostgreSQL
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.
Countries:
Zurich 
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