MongoDB Experts in Austria
for scalable data products, matched in minutes with vetted freelance specialistsHire experts who design document data models, build aggregation pipelines and operate reliable MongoDB clusters. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project needs.
Meet FRATCH Experts in Austria, who have recently used MongoDB
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 M.
Last position:
ERP Process Modeling at Richter Pharma AG
Migration preparation for the upcoming ERP system change: recording all ERP-related business processes, analyzing pain points, and consolidating them into process views. Ensuring that every process can be transferred to the target system or that an alternative exists. Result: a solid working basis for system integrators and a company ready for migration.
BPMN · Camunda
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 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).
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.
Ăśsame 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
Michael G.
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
Nikolaus J.
Last position:
Integration Architect at CECIL
Designed an API-first omnichannel integration, linking WhatsApp Business API with Salesforce Marketing Cloud to unify customer data across multiple platforms.
Automated customer onboarding and engagement workflows using Marketing Cloud Journeys, SSJS, and Azure Functions.
Developed a middleware layer to sync WhatsApp interactions with Sales Cloud for seamless customer experience tracking.
Gerald G.
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 W.
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.
David M.
Last position:
Senior Technical Consultant at BMW Group
- Architecture and development of enterprise React 19 based documentation platform for automotive software systems
- Full-stack implementation of visualization tools & interactive diagram viewers
- Performance optimization initiatives including virtual rendering for 10,000+ node trees and Web Worker-based search functionality
- Designed and implemented modular plugin architecture enabling extensible document rendering system
- Technical consultation on Git-based architecture-as-code workflows and modern design patterns
- Ownership of critical features from design through deployment, collaborating with cross-functional enterprise teams
Andreas K.
Last position:
DevOps Consultant at Automotive/freelancer
- Infrastructure automation with Ansible, AWX, Docker/DockerCompose/Kubernetes, GitLab, Bash, Python (Ubuntu)
- Infrastructure monitoring with Icinga2
- Software development in Python
- Qemu, KVM, libvirt
Attila D.
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.
Discover over 15,000 top freelancers
Statistics of experts using MongoDB
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
3.1 years
Positions per freelancer
10
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
83%
Master's degree or higher
50%
Doctorate
6%
Certifications per freelancer
2
Most common languages
German, English, 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 Austria 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 Austria 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
MongoDB 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 (91%)
- Banking and Finance (55%)
- Professional Services (41%)
- Healthcare (36%)
- Government and Administration (36%)
- Education (27%)
- Transportation (27%)
- Telecommunication (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Document database fundamentals
MongoDB is a document-oriented database built around flexible BSON documents rather than rows and tables. It suits applications that need evolving data structures, nested records and fast access to related information. Teams use it for content platforms, customer portals, product systems, analytics services and event-driven applications.
Data modelling and queries
Strong MongoDB work starts with modelling around real access patterns. Experts decide when to embed documents, when to reference them and how to shape indexes for predictable query performance. They also create aggregation pipelines for filtering, joining, grouping and transforming operational data without pushing every task into application code.
- Design collections and document schemas
- Build indexes and query strategies
- Create aggregation pipelines
- Plan validation and data migrations
Ecosystem and tooling
MongoDB is commonly used with MongoDB Atlas, the official cloud service, as well as self-managed deployments. Projects may include MongoDB Compass, mongosh, drivers for Node.js, Java, Python or C#, and frameworks such as Mongoose. Reliable delivery also involves backup policies, monitoring, access control, replication and integration with application observability tools.
When freelance expertise helps
Companies often bring in freelance MongoDB specialists during a migration from relational systems, a redesign of an overloaded data model or the launch of a high-traffic product. They can also support Atlas adoption, production incidents, security reviews and data lifecycle planning. In Austria, remote collaboration is often practical, while on-site workshops can help when teams need close coordination with product and infrastructure groups.
- Relational-to-document migration planning
- Cluster setup and production readiness
- Query and index investigations
- Backup, recovery and security reviews
What strong professionals deliver
Experienced professionals connect database choices to application behaviour, not just configuration. They explain trade-offs clearly, test queries with realistic workloads and document operational procedures for the internal team. They understand replication, sharding, consistency, transactions, change streams and schema evolution, while keeping solutions maintainable for the people who will run them.
Choosing the right specialist
Assess whether a professional can show clear reasoning behind a MongoDB design, including its document boundaries, indexes and failure handling. Ask how they would measure query behaviour, protect sensitive data and recover from an operational mistake. For distributed Austrian teams, confirm availability for the required working hours and the language needed for technical workshops, documentation and handover.
Frequently asked questions
Before you brief your next project: the most common questions about MongoDB.
MongoDB is used for applications that store flexible, nested or rapidly changing data. Common examples include content systems, customer platforms, catalogues, mobile backends, event-driven services and operational analytics.
MongoDB stores data as documents and lets teams model related information close to the way an application reads it. A relational database can be a better fit for highly structured data, complex joins and strict cross-table consistency, so the choice depends on access patterns rather than popularity.
A strong MongoDB expert should understand application development, data modelling, indexing and production operations. Useful adjacent skills include MongoDB Atlas, cloud infrastructure, Docker, Kubernetes, security, observability and a relevant language driver or framework such as Mongoose.
The right level depends on the project’s risk and scope. A straightforward application may need solid schema and query skills, while migrations, sharded clusters or performance incidents call for a professional who has handled comparable production conditions.
Yes. MongoDB projects are often suitable for remote collaboration because modelling, query reviews, deployment work and documentation can be handled through shared repositories and secure access. On-site sessions in Austria may still help with architecture workshops, incident response or team handover.
MongoDB Atlas is useful when a team wants managed provisioning, backups, monitoring and scaling without operating every database component itself. A specialist should still review regions, networking, identity controls, data residency needs and the operational model before migration.
Ask the professional to explain document boundaries, index choices, query plans, backup recovery and expected failure modes. High-quality work includes repeatable tests, clear runbooks, secure defaults and decisions that remain understandable as the schema evolves.
MongoDB was previously known as 10gen, the company name associated with its early development. Freelancers may encounter that term in older material, but current documentation, tooling and product discussions use MongoDB.
The average hourly rate of freelancers in Austria who have used MongoDB in their recent projects is 103 €, which corresponds to a daily rate of about 827 € based on an 8-hour working day.
Of the freelancers in Austria who have used MongoDB in their recent projects, 83% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Austria who have used MongoDB in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 3.1 years.
The most common languages among freelancers in Austria who have used MongoDB in their recent projects are German (100%), English (100%), and French (23%).
The most common industries among freelancers in Austria who have used MongoDB in their recent projects are Information Technology (91%), Banking and Finance (55%), and Professional Services (41%).
The most common business areas among freelancers in Austria who have used MongoDB in their recent projects are Information Technology (100%), Product Development (91%), and Operations (55%).
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.
Vienna Graz 
Vienna Countries:
- Germany
- Austria
- Switzerland
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