
Go Experts in Vienna
matched in minutes by AIHire experts who build high-performance APIs, cloud-native services and concurrent backend systems with Go, supported by tools such as Kubernetes, Docker and gRPC. FRATCH connects you with precise matches from vetted, available freelancers quickly.
Meet FRATCH Experts in Vienna, who have recently used Go
Garrett T.
Last position:
Transformation Advisor for SAP at Garrett Tedeman, CPA LLC
Independent practice serving clients in SAC-P and AI-enabled FP&A transformation, including financial model development for PE firm engagements, data cleansing with PowerQuery, workflow automation Claude Cowork, SAC-P scoping task-based assignments (Micro1.ai & Mercor.ai), and SAP partner network development.
- 2026 – Completed significant upgrade training for Positioning Business AI and SAP Cloud ALM Workshop (In-Person). Live Demos • SAC-P & Excel-Based Reports • Claude Partner • SAP Partner#: 1961209 (OE – Build)
- Fall 2026 – New effort to re-train/update past FI/CO, SAP BPC, SAP Platform to S/4 Finance & Core G/L Accounting
- 2026 – Upskilling for Transformation Toolchain. In-Person Workshops: Cloud ALM & SAP BTP • Joule Demo(s)
- 2025 – FP&A processes • Datasphere & Business Data Cloud • Team Workshops for AI • Toolchain & SAP Cloud ALM
- 2024 – Built key credentials on Deloitte S4 Experience • Group Reporting and SAC-P
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.
Marko A.
Last position:
Program Lead | Agile Transformation Coach at EnBW
Technologies: Azure DevOps, Jira, Confluence, Office 365 (Teams, PowerPoint, Copilot, Excel, SharePoint, Forms, OneNote, PowerAutomate, Word), DataDog, Conceptboard, Python, AWS, Claude, Perplexity Methodology: Scrum
- Steering and supporting the organization in introducing Scrum and a SAFe-inspired quarterly roadmap and portfolio planning at program level.
- Servant leadership for Scrum teams and managers to achieve quarterly goals and measurably increase value creation for internal and external customers.
- Designing and building efficient communication and collaboration structures between multiple development teams and central stakeholders in the organization.
- Moderating and facilitating cross-functional workshops and management meetings to align on shared goals.
- Coaching leaders, Product Owners, and development teams on agile values, role understanding, and scaled ways of working (Scrum, SAFe, Business Agility).
- Removing structural obstacles at team and organizational level through targeted impediment management and escalation processes.
- Enabling teams to become more self-organized, accountable, and end-to-end responsible along the value streams.
- Individual coaching of key people (Product Owners, Chapter Leads, Scrum Masters) to strengthen their impact in the transformation program.
- Organization-wide identification, planning, and implementation of process, structure, and tool improvements to sustainably increase efficiency, throughput, and value creation.
- Close support for Product Owners in stakeholder management, business value prioritization, product strategy, roadmap planning, and effective collaboration with development teams.
- Introducing, governing, and scaling Azure DevOps as the central project and product management tool, including coaching the organization on usage, reporting, and alignment at all levels.
Achievements:
- Clear increase in visibility, transparency, and perceived value creation of the development teams within the overall organization.
- Noticeable improvement in communication between development, business, and other stakeholders.
- Optimization of work processes, workflow, and backlog structures, which reduced lead times, sharpened priorities, and sustainably increased team effectiveness.
Peter G.
Last position:
Senior IT Project Manager at REWE Group
Datacenter audit and subsequent transformation program
- Initial situation: After a critical outage, the datacenter was seen as the cause. A classic audit was to be put out to tender.
- My diagnosis: The technical architecture was not the core problem. What really mattered were the incident, diagnosis, and restart processes, as well as missing transparency around costs and dependencies.
- Impact: The audit was handled pragmatically in-house. The results and budget basis became the foundation for a multi-year international transformation program. After that, I continued as the preferred candidate for a central transformation stream.
Thomas P.
Last position:
Change Manager / Sales Transformation at SEFE
- Organizational Change Management as part of a group-wide, supranational sales transformation, serving as the core of a broad restructuring of business-critical areas, with end-to-end control of the change process and long-term embedding and securing the future readiness of sales.
- Initiation and end-to-end steering of the sales transformation program, including in-depth analysis to identify, assess, and strategically involve all relevant stakeholders, making tactical use of their specific business interests and influence.
- Conducting advanced, detailed change impact analyses to predict the organizational effects of the transformation, deriving a tailored change strategy, and developing a change roadmap and a change story as the core narrative of the campaign.
- Designing and implementing an integrated communication and action plan to ensure maximum transparency, effectively manage unspoken expectations, and actively guide a change process that is clear and understandable for all stakeholders.
- Active management of all transformation phases, including the setup of robust monitoring mechanisms for continuous progress analysis and forecasting based on recommended and jointly defined KPIs.
- Establishing an agile analysis and adjustment cycle to continuously assess the effectiveness of implemented measures, identify challenges early, and fine-tune the change strategy in time.
- Conducting precise gap analyses to identify skill gaps in the sales team in the context of the new strategic direction, and deriving and developing targeted qualification measures (e.g. coaching, training).
- Comprehensive reduction of resistance to change by turning opposing stakeholder mindsets into proactive change-driving change ambassadors.
- Deep and sustainable realignment of sales structures and processes in full alignment with the company’s overall goals.
- Qualitative and quantitative improvement of sales efficiency and performance as a direct result of the implemented transformation initiatives and capability-building programs.
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.
Manuel P.
Last position:
AI Engineer at Misumi Europe GmbH & Motius GmbH
- Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
- Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
- Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
- Optimized LLM based data extraction and classification with context engineering.
- Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
Stefan M.
Last position:
SAP Architect at Manufacturing Industry
SAP Business Data Cloud / Datasphere rollout
Technologies: SAP Datasphere | SAP BTP | SAP Analytics Cloud | ETL / ELT | Security & Governance
Tasks / Responsibilities:
- Designing and implementing data architectures in SAP Business Data Cloud / Datasphere
- Designing spaces, data products, and data flows for integrated data models
- Connecting SAP and non-SAP systems via SDI, ODP, APIs
- Integration with SAP Analytics Cloud for self-service analytics
- Building governance, security, and authorization concepts
- Creating architecture guidelines & performance optimization
Results / Achievements:
- Introduced a central data catalog & authorization concept
- Laid the foundation for self-service analytics
Andreas Z.
Last position:
Founder & Owner at AZentron Solutions
- Interim management: Temporary leadership in supply chain, logistics, and operations - including budget, investment, and personnel responsibility.
- Project management: Steering infrastructure, construction, and automation projects as well as transformation and digitalization programs.
- Supply chain consulting: End-to-end strategies, network and site planning, intralogistics, and automation - from international corporations to regional SMEs.
- Process and organizational development: Optimization of workflows, systems, and control logic; building KPIs and reporting structures.
- Executive mentoring: Supporting leaders in growth, change, and crisis situations.
Jan J.
Last position:
VP Business and Partner Development at Cequence
Helping companies to streamline their CLM p ocesses and Transparency
Michael L.
Last position:
IAM Developer & IT Architect at Internationale Bank
Design and implementation of new functionalities in the areas of Lifecycle Management (LCM), Role Management (RLM) and Access Governance
Adjustment of the company-wide Segregation of Duties (SoD) matrix to ensure regulatory and internal compliance requirements
Further development and configuration of recertification processes
Creation and adaptation of custom workflows, rules and tasks in SailPoint IdentityIQ (BeanShell, XML, Java)
Use of static code analysis with SonarQube to ensure code quality and compliance with defined development standards
Regular code reviews within the development team to ensure quality, share knowledge and follow clean code principles
Work in an agile Scrum team with daily communication, sprint planning and reviews
Coordination with testers, test managers and business departments to ensure quality and smooth production rollout
Active involvement in release planning and deployment coordination, including test preparation, cutover activities and rollback strategies
Analysis and sustainable resolution of issues in the IAM production environment (2nd- and 3rd-level support)
Reproduction of complex errors, identification of root causes and implementation of lasting fixes
Creation of technical analyses and recommendations for operations and further development
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).
Gabriele B.
Last position:
Founder and Managing Director at PaiperOne GmbH
- Main tasks and responsibilities: development, acquisition, sales, consulting, and controlling
- Area of work or industry: Software as a Service in AI compliance and consulting
Selection of client projects:
- Creation and operation of an AI governance platform, including training content on the use of AI in companies
- Design, setup, and operation of the ISO 42001 management system at PaiperOne with certification by TÜV
- Auditor according to ISO 17024 at Austrian Standards for the "AI Manager"
- AI training for staff of two Austrian publishing groups
- AI training for the management level at the State of Lower Austria
- AI strategy workshop for a municipality in Styria and a municipality in Salzburg
- AI workshops for the House of Digitalization in Tulln
- AI training for municipalities at KDZ
- Delivery of training on "Certified AI Compliance Officer" at the Academy for Internal Audit
- Organizational consulting on AI governance at ÖGK
- Project support for the "homepage chatbot" at öbv
- Certification exams at Austrian Standards
Nikola N.
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
Discover over 15,000 top freelancers
Statistics of experts using Go
Aggregated from the professional profiles of matched freelancers.
Experience
21 years

Position duration
2.9 years (Austria: 3 years)

Positions per freelancer
12 (Austria: 11)

Top business areas
Information Technology, Project Management, Product Development

Top industries
Information Technology, Professional Services, Banking and Finance

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
90% (Austria: 88%)
Master's degree or higher
75% (Austria: 71%)
Doctorate
10%

Certifications per freelancer
4 (Austria: 3)

Most common languages
German, English, Spanish

Speak two or more languages
99% (Austria: 98%)
Based on our profile pool as of 16 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.
Average rates of experts in Vienna using Go
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 16 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Go 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 (86%)
- Professional Services (53%)
- Banking and Finance (50%)
- Manufacturing (39%)
- Government and Administration (38%)
- Retail (34%)
- Education (32%)
- Telecommunication (32%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Go at a glance
Go, also known as Golang, is a statically typed language created for clear, maintainable systems software. Its fast compilation, simple syntax and built-in concurrency make it well suited to network services, APIs, command-line tools and distributed backends. Go produces standalone binaries that are easy to package and deploy.
Where Go fits
Go is common in cloud infrastructure, fintech, logistics, telecommunications and internal enterprise platforms. Teams use it for HTTP and gRPC services, event-driven workers, platform tooling, observability components and high-throughput data paths. Its standard library covers networking, testing, cryptography and HTTP without requiring a large framework.
- Design REST and gRPC APIs
- Build concurrent workers and service components
- Create command-line and infrastructure tools
- Package services for containers and cloud deployment
Ecosystem and tooling
Strong Go specialists work comfortably with modules, interfaces, goroutines, channels and context cancellation. The wider ecosystem includes Gin, Echo and Fiber for web services, sqlc and GORM for data access, Cobra for command-line applications, and Prometheus client libraries for metrics. Docker, Kubernetes, Terraform and CI pipelines often surround Go projects.
When companies bring expertise
Companies often need freelance Go expertise when a service must scale without unnecessary complexity, when a monolith is being split into services, or when internal tooling has become difficult to maintain. Specialists can establish package boundaries, improve concurrency, introduce reliable tests and make deployments reproducible.
- Replace fragile scripts with tested tooling
- Improve latency, resource use or service resilience
- Connect services through REST, gRPC or messaging
- Review an existing Go codebase before further investment
Go in Vienna teams
In Vienna, Go specialists may contribute to financial systems, mobility products, industrial software, SaaS operations and public-sector technology. Remote collaboration works well when repositories, architecture decisions and delivery standards are documented. For on-site or hybrid work, clear communication in English or German can help align teams and stakeholders.
What strong specialists deliver
Experienced Go professionals make concurrency understandable rather than merely adding goroutines. They define useful interfaces, handle errors explicitly, protect services with timeouts and cancellation, and test behavior under failure. They also understand operational concerns such as structured logging, tracing, metrics, container security and graceful shutdowns.
A strong engagement ends with more than working code. It leaves behind readable packages, automated tests, useful documentation and deployment practices that the internal team can maintain. Familiarity with profiling, race detection and Go's built-in tooling is a practical signal of quality.
Frequently asked questions
Not sure where to start with Go? These answers cover the essentials.
Go is commonly used for APIs, microservices, cloud infrastructure, command-line tools and networked systems. Its concurrency model and compact deployment artifacts suit services that must handle many connections reliably.
Go usually offers a simpler language and faster build-and-deploy cycle than Java, while requiring less memory and compiler complexity than many Rust projects. Python can be quicker for prototypes and data work, but Go is often preferred for strongly typed, concurrent services with straightforward operations.
A strong Go specialist often brings experience with HTTP, gRPC, SQL, message queues, Docker and Kubernetes. Familiarity with cloud services, CI/CD, observability, security and infrastructure as code is valuable when the work reaches production.
The right level of Go experience depends on the system's risk and scope, not on a fixed time threshold. A small API may need a specialist who can work independently with testing and deployment, while a distributed platform benefits from experience in concurrency, performance analysis and service operations.
Go projects are often well suited to remote collaboration because code, tests, infrastructure and design decisions can be shared through standard repositories and CI workflows. Agree on review practices, overlap hours, documentation and whether communication should be in English, German or both.
Look for Go work that shows clear package design, explicit error handling, tests and production operations rather than only a list of frameworks. Ask how the specialist handled cancellation, timeouts, observability, data access and failures under load.
Go can be a strong choice when a team wants a small, compiled service with predictable deployment and built-in support for concurrent work. It may be less suitable when the project depends primarily on a specialized ecosystem that is stronger in another language.
A Go freelancer may deliver an API, service, worker, command-line tool or migration component together with tests and deployment configuration. Good delivery also includes documentation, monitoring hooks, dependency management and a clear handover for the internal team.
The average hourly rate of freelancers in Vienna, Austria who have used Go in their recent projects is 116 €, which corresponds to a daily rate of about 930 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Go in their recent projects, 90% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Go in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.9 years.
The most common languages among freelancers in Vienna, Austria who have used Go in their recent projects are German (98%), English (98%), and Spanish (26%).
The most common industries among freelancers in Vienna, Austria who have used Go in their recent projects are Information Technology (86%), Professional Services (53%), and Banking and Finance (50%).
The most common business areas among freelancers in Vienna, Austria who have used Go in their recent projects are Information Technology (90%), Project Management (76%), and Product Development (64%).
Main locations of FRATCH Experts, who have recently used Go
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.
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