MongoDB Experts in Austria
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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).
Laura H.
Last position:
Sr. BI Consultant & Project Manager at Multivariata
- Project Lead, Sr. BI Expert, Data Scientist, Automation Engineer for Marketing Analytics | Customer Insights (retail, e-commerce)
- Product Manager: Asset Metadata Ingest & Provide
- Product Owner Business Intelligence – responsible for 2 teams: cloud data engineering, data warehouse (logistics)
- Product Owner for setting up a reporting platform on Azure & Power BI (finance)
David L.
Last position:
Senior Full Stack Engineer at Fractual
- Built and maintained a full-featured React Native mobile app and companion web portal supporting multi-role access and real-time collaboration for service teams.
- Developed a robust NestJS backend using TypeScript, adhering to scalable microservices patterns to support a dynamic task management system.
- Designed and optimized PostgreSQL schemas, using advanced indexing and normalized data models to support patient tracking, tasks, and outcome reporting.
- Integrated Socket.IO to support real-time team communication, task status updates, and instant notifications across mobile and web platforms.
- Developed secure authentication workflows using AWS Cognito, including multi-role login, token refresh, and session timeout handling.
- Leveraged AWS S3 for secure document uploads (patient records, resource materials) with signed URLs and access control policies.
- Connected AWS SNS and SES to automate notifications for escalations, missed follow-ups, and appointment reminders.
- Engineered an admin analytics dashboard using React + Zustand for tracking user activity, case completion rates, and compliance metrics.
- Designed and implemented AI-driven features for task prioritization and patient risk classification using external API integrations.
- Established a robust CI/CD pipeline using GitHub Actions and Docker, achieving automated testing, linting, and environment-based deployments.
- Followed Agile ceremonies (daily standups, sprint planning, retros) while collaborating with QA, BAs, and PMs to deliver high-velocity features.
- Led data protection efforts ensuring full GDPR compliance, including encrypted storage, session control, and user-consent management.
- Delivered a fully responsive UI using DaisyUI-style components for mobile and tablet-first designs, achieving high Lighthouse scores.
- Reduced support tickets by 40% by implementing detailed audit logging and a self-service helpdesk system in the admin interface.
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.
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
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
85%
Master's degree or higher
50%
Doctorate
5%
Certifications per freelancer
2
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Austria are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 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 (92%)
- Banking and Finance (58%)
- Professional Services (46%)
- Government and Administration (38%)
- Healthcare (33%)
- Education (29%)
- Transportation (29%)
- Telecommunication (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Document database
MongoDB is a document-oriented database built around flexible BSON records rather than fixed rows and columns. It stores related data in collections, supports nested structures, and lets teams evolve schemas as products change. MongoDB is commonly used for content platforms, customer applications, catalogs, event data and operational backends.
Core capabilities
Its query language supports filtering, projections, updates, aggregation pipelines and geospatial searches. Indexes help target frequent access patterns, while replica sets provide redundancy and automatic failover. Sharding distributes large workloads across nodes when a single database instance is no longer enough.
Ecosystem and tooling
MongoDB Atlas provides managed clusters, backups, monitoring, scaling and security controls across major cloud environments. Professionals also work with the MongoDB Shell, Compass, drivers and migration tools. Common integrations include Node.js, Python, Java, .NET, Go, Kafka, Kubernetes and REST or GraphQL services.
- Model collections and indexes for real application queries
- Configure replica sets, sharding, backups and access controls
- Connect MongoDB to application services and data pipelines
When expertise matters
Companies bring in freelance specialists when a new product needs a reliable document model, when slow queries require investigation, or when a self-managed database should move to Atlas. They may also need support during migrations from relational systems, major releases, incident recovery or a period of rapid product growth. In Austria, remote collaboration often works well, while regulated or operational environments may require on-site workshops.
Delivery and security
Strong professionals clarify access patterns before choosing collections and indexes. They plan migrations, validate schema changes, configure least-privilege roles and test restore procedures instead of treating backups as a checkbox. They also understand replication lag, consistency choices, transaction boundaries, observability and the cost implications of poorly bounded queries.
Choosing a specialist
Review evidence of production systems with meaningful document relationships, not just familiarity with CRUD operations. Ask how the specialist would measure query performance, handle changing schemas and recover from node or region failure. Experience with Atlas, cloud networking, CI/CD, infrastructure as code and the application language around MongoDB is valuable when the work spans the full delivery chain.
Frequently asked questions
Before you brief your next project: the most common questions about MongoDB.
MongoDB is used for applications that need flexible records, fast iteration and queries across nested or changing data. Common examples include product catalogs, content systems, customer portals, event-driven services, mobile backends and real-time operational applications.
MongoDB stores document-shaped data and can adapt its schema as application requirements change. PostgreSQL and other relational databases are often preferable for strongly structured data, complex joins and reporting that depends on strict relational constraints. The right choice depends on access patterns, consistency needs and the surrounding system.
A strong MongoDB specialist usually understands at least one application language, such as JavaScript, Python, Java, Go or C#. They should also be comfortable with cloud networking, containers, observability, CI/CD, data migration and identity or access management.
The required depth depends on the risk and scale of the assignment. A straightforward application integration may need solid driver and data-model knowledge, while sharding, migration, incident response or compliance-sensitive workloads call for proven production experience with MongoDB operations.
Yes. MongoDB work is often suitable for remote collaboration because modeling, configuration, code review and monitoring can be performed through secure access. On-site sessions may still help with architecture workshops, internal handovers or systems subject to strict access rules, and German-language communication may matter for some Austrian teams.
MongoDB Atlas is the managed cloud service for MongoDB. It can reduce operational work through managed provisioning, backups, monitoring, scaling and security features. It is useful when a team wants database capabilities without maintaining every underlying server task, though network design and governance still require care.
Ask the specialist to explain the data model, expected query patterns, index choices and failure handling in clear terms. High-quality MongoDB work includes repeatable performance tests, documented migrations, tested restore procedures, least-privilege access and monitoring that exposes slow operations.
MongoDB may be a poor fit when the system depends heavily on complex joins, rigid cross-record constraints or analytics built around a strongly normalized relational model. It can still integrate with those environments, but forcing document storage into a relational shape may add avoidable complexity.
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 825 € based on an 8-hour working day.
Of the freelancers in Austria who have used MongoDB in their recent projects, 85% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 5% 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 English (100%), German (96%), and French (21%).
The most common industries among freelancers in Austria who have used MongoDB in their recent projects are Information Technology (92%), Banking and Finance (58%), and Professional Services (46%).
The most common business areas among freelancers in Austria who have used MongoDB in their recent projects are Information Technology (100%), Product Development (92%), and Operations (50%).
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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