PostgreSQL Experts in Vienna
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Meet FRATCH Experts in Vienna, who have recently used PostgreSQL
Chrisabel Prischl
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 Ampia-Addison
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.
Alexander Vasilenko
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.
Michael Okang
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
Marcel Steger
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.
Nikola Neloski
Last position:
Founder and CEO - Senior Business Analyst at fintechno AI GmbH
- Business analysis
- Requirements engineering
- System design
- Various insurance projects
- Technology stack: msg.Billing (in-/ex-collection)
- Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI
Michail Matjuchin
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.
Zoran Jovanovic
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.
Fabio Galvagni
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
Ãœsame Turhan
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
Michael Gonschor
Last position:
Scrummaster at Xenovo
Planning and monitoring sprints and holding the scheduled meetings
Analyzing and resolving issues in the development process
Error analysis, bug management and correction in individual process steps
Stakeholder management
Documentation and improvement of the development process
Tools: JIRA, Confluence
Lorenz Graiff
Last position:
Business Analyst at Wirtschaftsagentur Wien
- Conducting a feasibility study on introducing an in-house DWH as a central data source
- Conducting workshops for current state analysis (processes, reports, KPIs) together with the clients
- Gathering and detailing business requirements including a target concept for an in-house DWH
- Coordinating and clarifying data deliveries and interfaces in meetings with stakeholders and data providers
- Developing initial data models as a basis for data quality and later implementation
- Drafting solution variants including architecture and operation options and decision basis
- Creating the business case including effort estimates, cost-benefit analysis, and decision report
Jürgen Eckel
Last position:
Chief Executive Officer at Riddle&Code GmbH
- Pivoted the company into data-driven and AI-powered energy optimization solutions for microgrids, energy communities, and grid operators.
Joseph Wagner
Last position:
Freelancer Cloud / Solution Architect (AWS) at A1 Bank
- I am responsible for providing solution architecture and technical assistance for a migration initiative aimed at transitioning to a new core banking system.
- The project involves replacing in-house development with a commercially available off-the-shelf core banking system operated as SaaS on AWS.
- Duties encompass solution design, technical coordination, supporting development teams, and providing IT support and troubleshooting.
- Managing over 10 global vendors and partners is crucial to project success.
- Technologies: VMWare ESXi, AWS, EKS Kubernetes, Mastercard Payment Transaction Service, Avaloq, A1 Telekom Austria infrastructure, CheckPoint FW, F5, Site-to-Site VPNs, PingID, Futurae SDK, Airlock, UC4/Automic, Firebase, iOS/Android lifecycle management, AWS IAM, AWS AppStream, AWS S3, AWS Transfer Family, QlikView, OpenAPI.
Discover over 15,000 top freelancers
Statistics of experts using PostgreSQL
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.5 years
Positions per freelancer
12
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
83%
Master's degree or higher
58%
Doctorate
8%
Certifications per freelancer
3
Most common languages
German, English, Russian
Speak two or more languages
96%
Based on our profile pool as of 30 Aug 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.
Average 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
PostgreSQL in practice
PostgreSQL is a relational database used for applications that need clean data modeling, strong consistency, and flexible queries. It supports transactional systems, reporting, and data-heavy back ends where structure matters.
What it is used for
- Business applications with many related tables
- APIs and back ends that need safe writes
- Analytics, reporting, and data exports
- Geospatial workloads with PostGIS
- Search, queues, and event-driven patterns around the core database
Core skills
Strong PostgreSQL specialists work with schema design, indexes, SQL, and query plans. They also understand transactions, isolation levels, constraints, views, functions, and extensions such as PostGIS or pgvector.
Tools and ecosystem
The PostgreSQL ecosystem includes pgAdmin, psql, logical and streaming replication, backups, monitoring, and migration tools. Good professionals know how to combine these with ORMs, CI checks, and safe deployment workflows.
When companies bring in help
Companies usually need freelance expertise during migrations from MySQL or older PostgreSQL setups, performance problems, version upgrades, or downtime-sensitive releases. In Vienna, this often fits teams that want focused support for product systems, finance, logistics, or internal platforms without slowing the core team.
What strong specialists deliver
A strong PostgreSQL expert does more than write SQL. They improve slow queries, set up dependable backup and recovery routines, review data models, and help teams avoid silent data loss. They document decisions clearly so remote and on-site teams can keep working without guesswork.
Frequently asked questions
Questions about PostgreSQL? Start with the answers below.
PostgreSQL is used for systems that need dependable relational data storage, complex querying, and strong transaction handling. Companies choose it for product databases, reporting layers, APIs, and geospatial use cases. It is a common fit when the data model needs to stay accurate as the system grows.
PostgreSQL is often chosen when teams need richer SQL features, stronger extensibility, or more advanced query planning. MySQL can fit simpler read-heavy workloads, but PostgreSQL usually wins when the schema, joins, constraints, or custom functions matter more. The right choice depends on the application and the team’s operating model.
A strong PostgreSQL specialist should also know SQL, data modeling, indexing, and basic Linux or cloud operations. Experience with backups, replication, monitoring, and migration work is valuable too. In many projects, knowledge of application frameworks and ORMs helps them work smoothly with the rest of the team.
A small reporting database may only need focused support, while a migration or performance rewrite needs deeper PostgreSQL experience. The harder the task, the more important it is that the specialist has worked on production systems before. For critical data, look for people who can explain trade-offs clearly, not just write queries.
Yes, PostgreSQL work is often a good fit for remote collaboration because most tasks can be reviewed through schema files, SQL, logs, and deployment changes. In Vienna, many teams still prefer some on-site time for workshops, handover sessions, or sensitive production work. The best setup depends on the project and how closely the specialist needs to work with product or operations teams.
A good PostgreSQL expert explains why a query is slow, how an index changes the plan, and what risks come with a schema change. Look for clear reasoning around backups, recovery, lock behavior, and migration safety. Good work should leave the database easier to operate, not just faster on one query.
A PostgreSQL migration usually covers schema mapping, data transfer, query rewrites, application changes, and validation of results. The tricky parts are often differences in SQL behavior, transaction handling, and extension support. A careful specialist plans rollback paths and tests with realistic data before the cutover.
Yes, PostgreSQL can handle geospatial data very well when paired with PostGIS, and it can support search-style features with the right extensions and design. That makes it useful for maps, location filters, and data products that need spatial queries. A specialist should know when the database is enough and when a separate search engine is still needed.
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 816 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used PostgreSQL in their recent projects, 83% hold at least a Bachelor's degree, 58% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Vienna, Austria who have used PostgreSQL in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Vienna, Austria who have used PostgreSQL in their recent projects are German (100%), English (96%), and Russian (15%).
The most common industries among freelancers in Vienna, Austria who have used PostgreSQL in their recent projects are Information Technology (96%), Banking and Finance (50%), and Government and Administration (50%).
The most common business areas among freelancers in Vienna, Austria who have used PostgreSQL in their recent projects are Information Technology (100%), Product Development (85%), 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
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FRATCH CEO
