MongoDB Experts in Vienna
matched in minutes with vetted, available specialists and the power of AI.Work with specialists who design MongoDB schemas, tune queries and indexes, and support MongoDB Atlas or self-managed clusters. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Vienna, who have recently used MongoDB
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 Langer
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
Üsame 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
Gerald Gastgeb
Last position:
Data Design Authority at Department of Government Enablement
- Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
- Definition of modeling standards
- Creation of a conceptual and logical model for the entire Abu Dhabi government administration
- Definition of data quality and data security standards
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.
Attila Danics
Last position:
Full-Stack Software Engineer at Research Data Evaluation
- Custom anonymized research data analyzer, providing insights and facilitating data-driven decision-making.
- Designed and developed back- and frontend.
- Delivered end-to-end solution.
- Accelerated research timeline by 2 months.
Adrian Ion
Last position:
Strategic Technology Leadership & Digital/AI Transformation at Adrian Ion Consulting
- VCs, investors & CEOs: build or scale technology development in your (portfolio) company
- CTOs & senior technology leaders: experienced sounding board
- Traditional industries: increase value or optimize operations by further digitalization and AI
- Young technical leaders: build your leadership skills, technology-business interplay judgment, and strategic thinking, while under pressure to deliver
Discover over 15,000 top freelancers
Statistics of experts using MongoDB
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
2.8 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
78%
Master's degree or higher
56%
Doctorate
11%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100%
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 MongoDB
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
Document model
MongoDB stores data in flexible documents instead of fixed rows and columns. That makes it a strong fit for product catalogs, content systems, event data, and fast-changing applications. Experts shape documents so the model stays clear, queryable, and easy to maintain.
Query and index
Good MongoDB work is not only about storage. It is about finding the right query shape, building indexes that match access patterns, and keeping reads fast as data grows.
- Query design for common screens and APIs
- Compound, text, and geospatial indexes
- Aggregation pipelines for reporting and transforms
- Explain plans, slow query checks, and optimization
Atlas and operations
Many teams run MongoDB on Atlas, while others keep self-managed clusters for full control. Specialists handle backup strategy, replica sets, sharding, upgrades, and security settings. In Vienna, companies often need support that fits both local office work and remote delivery.
Typical projects
MongoDB experts are often brought in for new backend services, data migrations from relational systems, search-heavy features, and analytics pipelines. They also help when a product uses MongoDB with Node.js, Java, Python, .NET, or Go and the team needs cleaner data access.
What strong specialists do
Strong professionals think about data shape first, not just syntax. They choose the right collections, avoid bloated documents, handle transactions where needed, and keep consistency rules clear.
- Turn business workflows into clean document structures
- Balance flexibility with performance and maintainability
- Integrate MongoDB with application code and data services
- Review production issues without guessing
When to bring one in
Bring in MongoDB help when queries slow down, schema changes become risky, or your team is moving from Mongo or MongoDB Atlas setup work into a live product. It also helps when you need short-term expertise for a launch, migration, or performance review without hiring permanently.
Frequently asked questions
Questions about MongoDB? Start with the answers below.
MongoDB is used for applications that need flexible data models and fast changes to structure. It is common in content management, product catalogs, event tracking, mobile back ends, and services that need rapid iteration. Teams often choose it when documents fit the domain better than rigid tables.
MongoDB is usually chosen for document-shaped data and changing schemas, while PostgreSQL and MySQL are often preferred for highly structured relational data. A strong specialist can explain when a document model helps and when a relational database is the safer fit. The right choice depends on the data model, query patterns, and consistency needs.
MongoDB is the database technology, while MongoDB Atlas is the managed cloud service built around it. Atlas handles much of the operational work, such as provisioning, backups, and scaling options. Many projects still need experts who know both the application design and the operational side.
A strong MongoDB specialist often also knows API design, data modeling, indexing, and at least one application stack such as Node.js, Java, Python, or .NET. Experience with replication, sharding, backups, and observability is also valuable. For migration work, SQL knowledge is especially useful.
A simple MongoDB feature may only need someone who can design collections and write queries cleanly. A migration, performance issue, or sharded cluster usually needs deeper operational experience. The more the project touches production data, the more you want a specialist who has done similar work before.
Yes, MongoDB work is often well suited to remote collaboration because schema reviews, query tuning, and backup planning can be done online. Vienna-based teams usually just need clear communication, access to logs and environments, and agreed working hours. On-site time is only necessary when the team prefers workshops or sensitive production coordination.
MongoDB projects often need outside help when queries slow down, documents become inconsistent, or the team is unsure how to model new features. Another common sign is a migration from a relational database with unclear mapping rules. If production incidents repeat, an external expert can bring structure quickly.
Look for MongoDB work that shows clear data modeling, sensible indexes, and a calm approach to production issues. Good answers mention trade-offs, not just commands. Strong specialists can explain why a schema, query, or shard strategy fits the workload and can show examples from similar systems.
The average hourly rate of freelancers in Vienna, Austria who have used MongoDB in their recent projects is 105 €, which corresponds to a daily rate of about 837 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used MongoDB in their recent projects, 78% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Vienna, Austria who have used MongoDB in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Vienna, Austria who have used MongoDB in their recent projects are German (100%), English (100%), and French (30%).
The most common industries among freelancers in Vienna, Austria who have used MongoDB in their recent projects are Information Technology (90%), Banking and Finance (70%), and Professional Services (60%).
The most common business areas among freelancers in Vienna, Austria who have used MongoDB in their recent projects are Information Technology (100%), Product Development (100%), and Operations (70%).
Main locations of FRATCH Experts, who have recently used MongoDB
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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Philipp Thomaschewski
FRATCH CEO
