PostgreSQL Experts in Vienna
matched in minutes by AIHire experts who design robust relational schemas, tune complex queries and deliver secure PostgreSQL environments for web platforms, analytics systems and business applications. FRATCH matches you precisely with vetted, available freelancers.
Meet FRATCH Experts in Vienna, who have recently used PostgreSQL
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
Chrisabel P.
Last position:
AI Systems & Product Strategy Expert at Webmeisterin
I build. I advise. I think in systems. After years leading digital transformation at scale — Accenture, BP, Lidl — I made a deliberate choice: trade platform dependency for structural independence. My focus is at the intersection of AI systems, product strategy, and venture thinking. I work with operators and founders who want to move fast without losing control — of their data, their stack, their direction.
John A.
Last position:
Software Developer and DevOps Engineer at Bundesrechenzentrum (BRZ)
Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.
Roman M.
Last position:
Software Engineer at FSM Rechtsanwälte
- Develop AWS-based components connecting Python backend services to React/TypeScript frontends.
- Improve database queries and application workflows for document processing and screening.
- Evaluate LLM retrieval and document-review workflows as part of the product stack.
Michael O.
Last position:
Gas station attendant at Shell
- Accurate handling of customer transactions under time pressure, including cash and register processing with high care
- Reliable, consistent performance in a fast-paced, customer-focused environment; strengthened organization and multitasking skills
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
Marcel S.
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Marc-Anthony T.
Last position:
Software Developer at Dawnguard.AI
- Foundational member of the backend TypeScript team, responsible for translating the initial product concept into a fully functional platform.
- Architected the core resource discovery engine for Azure and AWS, successfully enabling the frontend to visualize complex cloud environments and empowering the AI to evaluate architectural patterns.
- Engineered and scaled distributed APIs and dynamic CosmosDB schemas, ensuring the database and backend architecture could seamlessly adapt to rapidly evolving product requirements.
- Accelerated cross-functional testing by developing custom data-generation tools, allowing the AI and frontend teams to simulate and test against large-scale, artificial cloud architectures.
- Drove end-to-end feature delivery by partnering closely with AI, frontend, and business stakeholders to align technical implementation with the strategic vision of the Dawnguard platform.
André L.
Last position:
Founder & Managing Director at lesswork Productivity Solutions e.U.
- Design and deploy production multilingual AI voice-agent solutions for customer service, lead capture, after-hours support and front-office automation use cases.
- Delivered three client implementations spanning Europe, Asia and North America, including multilingual support, sales/lead-capture and privacy-sensitive intake workflows.
- Translate business requirements into conversation flows, prompt architecture, knowledge grounding, fallback and handoff logic, guardrails, consent gates and structured data capture; production support deployments include knowledge bases of approximately 1,000 grounded Q&A entries per language.
- Build scenario-based evaluation and regression QA covering normal flows, edge cases, failure modes, handoff behaviour and acceptance criteria; coordinate fixes through production readiness and rollout.
- Work hands-on across Retell, ElevenLabs Agents, Twilio, Supabase/PostgreSQL, Vercel, APIs/webhooks and CRM workflows; lead discovery, demos, solution shaping and cross-functional delivery.
Sector: AI voice automation / customer workflow design
Zoran J.
Last position:
Technical Writer – Implementation of the BNPP IT PROD SEC Service Catalog at BNP Paribas Germany
Design, authorship and finalization of the IT PROD SEC service catalog with eight standardized security services (S-ID001–S-ID008).
Development of consistent service components & deliverables, RACI assignments and SLA and KPI definitions for each service.
Integration of BaFin document requirements under DORA into the service descriptions.
Coordination with IT, compliance, risk and operations teams to validate all service descriptions.
Specifically for governance & monitoring: definition of governance cadence, evidence delivery processes, audit support and definition of measurable KPIs and measurement methods.
Ensuring that all services are standardized, measurable and documented in an audit-proof manner.
Result: Approved service catalog with eight services as a binding basis for delivery, governance and audits; transparent SLAs/KPIs for each service and DORA/BAIT/MaRisk-compliant documentation with clear responsibilities and evidence trails.
Technologies and tools: Confluence, Jira, ServiceNow, Microsoft PowerPoint, Microsoft Visio, Office 365.
Michail M.
Last position:
OpenShift Specialist, Developer at Insurance
Project goal: Introduce OpenShift as the run-time platform and migrate all applications to OpenShift.
My contribution: Make sure logging and monitoring for the applications were in place. Set up and put into operation the OpenShift components for logging and monitoring (Elasticsearch, Prometheus, and Grafana). Develop and implement the security concept for OpenShift. Work with developers to define and carry out the application changes needed for the OpenShift migration. Integrate monitoring into the applications.
Technical environment: Java, WebSphere Liberty, OpenShift components, Elasticsearch (ELK stack), Prometheus, Grafana.
Alexander V.
Last position:
Senior Cloud & Kubernetes Architect at A.S.E. | Business Solutions for Construction
- Architected and deployed a highly available, multi-tenant Kubernetes platform on Google Kubernetes Engine (GKE) for business-critical microservices.
- Designed and implemented a comprehensive Infrastructure-as-Code strategy using Terraform for managing GKE clusters, networking (VPCs, Subnets), and IAM policies.
- Engineered optimized storage solutions for stateful workloads (MongoDB) using GKE PersistentVolumes, enhancing performance and data resiliency.
- Established a full-stack observability framework using Google Cloud Monitoring, Logging, Prometheus, and Grafana.
Fabio G.
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Üsame T.
Last position:
Java Backend Developer at Porsche Informatik
- Java EE 8 development
- Java 21 and Spring Boot 3 microservices development
- Release management
- Onboarding of new team members
- Owner of an team-internal "Best Code Engineering Award"
Matthias K.
Last position:
Business Architect at E5GTEC
- Analysis of extended requirements related to existing controllers in an industrial plant
- Creating concepts for storing and visualizing sensor data
- Communication with PLCs
- Microservice architecture
- Unified architecture
- AI-based evaluations of sensor data
- Technologies used: .NET 8, Minimal API, Postgres, MQTT, RabbitMQ
Discover over 15,000 top freelancers
Statistics of experts using PostgreSQL
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.4 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
86%
Master's degree or higher
57%
Doctorate
7%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
97%
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 Vienna 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 Vienna 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 (94%)
- Banking and Finance (58%)
- Government and Administration (42%)
- Transportation (35%)
- Professional Services (35%)
- Insurance (32%)
- Telecommunication (29%)
- Education (23%)
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 for transactional applications, reporting systems and data platforms. It supports SQL, strong consistency, complex data types and extensibility, making it suitable for systems where data integrity and long-term maintainability matter. Its former name, Postgres, is still widely used in technical teams.
Applications and workloads
PostgreSQL specialists work across systems that need dependable storage, rich querying and controlled access:
- Customer portals, SaaS products and back-office applications
- Financial, logistics and inventory workflows
- Geospatial services with PostGIS
- Reporting, event data and operational analytics
- APIs connected through ORMs and database drivers
Ecosystem and tooling
A PostgreSQL project can involve schema migration tools such as Flyway, Liquibase or Alembic, as well as extensions including PostGIS, pgvector and TimescaleDB. Strong professionals also work with Docker, Kubernetes, cloud database services, connection pooling and observability tools. They understand how application frameworks, drivers and deployment pipelines affect database behavior.
When specialists help
Companies often bring in freelance PostgreSQL expertise when a database has become slow, difficult to change or risky to operate. Typical assignments include:
- Designing schemas, indexes, constraints and partitioning strategies
- Reviewing queries and execution plans
- Planning migrations with limited downtime
- Improving backups, replication, recovery and access controls
- Moving workloads between self-managed and cloud environments
Working across Vienna
PostgreSQL work often touches product, application, infrastructure and data teams, so clear collaboration matters as much as SQL knowledge. A Vienna-based professional can support on-site workshops when useful, while remote delivery works well for reviews, migrations and performance investigations. German or English communication should match the project’s team and documentation needs.
What strong professionals bring
Look for specialists who can connect database decisions with business risk and application behavior. They should explain trade-offs between normalization and read performance, validate changes with realistic workloads and document operational procedures. Experience with transactions, locking, vacuum behavior, role management and disaster recovery is a strong sign that they can support PostgreSQL beyond initial setup.
Frequently asked questions
Questions about PostgreSQL? Start with the answers below.
PostgreSQL is used to store and query structured business data for web applications, APIs, financial workflows, analytics and internal systems. It is a strong fit when transactions, data integrity, complex queries or extensibility are important.
PostgreSQL generally offers broader SQL support, advanced data types, extensibility and strong tooling for complex workloads. MySQL can be a practical choice for simpler application patterns, so the decision should consider the existing stack, query needs, team skills and operational model.
A capable PostgreSQL specialist should understand SQL, data modeling, indexing and query plans alongside the application stack that uses the database. Useful adjacent skills include Docker, cloud services, migration tooling, backup design, monitoring, security and infrastructure automation.
The right level depends on the scope. A simple schema review may need focused database expertise, while a migration, high-volume workload or recovery plan calls for a professional who has handled production operations, locking, replication and failure scenarios.
Yes. PostgreSQL reviews, query tuning, schema work and migration planning can usually be handled remotely with secure access, documentation and clear communication. On-site sessions in Vienna can help when teams need workshops, architecture decisions or coordinated release planning.
Bring in a PostgreSQL specialist when slow queries, unreliable deployments, risky schema changes or unclear recovery procedures are affecting delivery. External expertise is also useful before a major migration or when the internal team needs an independent design review.
Ask the professional to explain schema choices, indexing decisions, transaction behavior and recovery assumptions in terms your team can test. High-quality PostgreSQL work includes measurable acceptance criteria, safe migration steps, documented risks and procedures that another specialist can operate.
PostgreSQL can support geospatial workloads through PostGIS and vector search through extensions such as pgvector. The right professional should assess data volume, indexing, query patterns and consistency needs rather than treating an extension as a complete architecture.
The average hourly rate of freelancers in Vienna, Austria who have used PostgreSQL in their recent projects is 102 €, which corresponds to a daily rate of about 818 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used PostgreSQL in their recent projects, 86% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers in Vienna, Austria who have used PostgreSQL in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Vienna, Austria who have used PostgreSQL in their recent projects are German (100%), English (97%), and French (19%).
The most common industries among freelancers in Vienna, Austria who have used PostgreSQL in their recent projects are Information Technology (94%), Banking and Finance (58%), and Government and Administration (42%).
The most common business areas among freelancers in Vienna, Austria who have used PostgreSQL in their recent projects are Information Technology (100%), Product Development (87%), and Quality Assurance (58%).
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:
Vienna 
Graz Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
