MongoDB Experts in Vienna
for flexible data platforms, matched with vetted freelancers in minutesHire experts who design document models, build aggregation pipelines, and connect MongoDB to modern applications through drivers, Atlas, and cloud infrastructure. FRATCH finds the right vetted, available freelancer quickly and precisely for your project.
Meet FRATCH Experts in Vienna, 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.
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.
Ãœsame 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
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.
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.
Adrian I.
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 through further digitalization and AI
- Young technical leaders: build your leadership skills, judgment on the technology-business connection, 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
22 years
Position duration
2.7 years
Positions per freelancer
13
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
82%
Master's degree or higher
55%
Doctorate
9%
Certifications per freelancer
3
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 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 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 (83%)
- Banking and Finance (75%)
- Professional Services (58%)
- Telecommunication (50%)
- Transportation (42%)
- Government and Administration (42%)
- Energy (33%)
- Education (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Document database
MongoDB is a document-oriented database that stores data in flexible BSON documents rather than fixed rows and tables. It suits applications where records evolve, contain nested structures, or need to scale across distributed systems. Teams use it for product platforms, content services, customer data, analytics workloads, and real-time applications.
Core capabilities
Strong MongoDB professionals model collections around application access patterns and maintain reliable data boundaries as products change. They work with indexes, replication, sharding, transactions, change streams, and aggregation pipelines. They also understand when document storage is a better fit than a relational design and when it is not.
Ecosystem and tooling
The MongoDB ecosystem includes MongoDB Atlas, Compass, command-line tools, database drivers, and connectors for common application stacks. Specialists often combine it with Node.js, Java, Python, Go, .NET, Kubernetes, and cloud services. Their work may include schema validation, migrations, backup policies, observability, and secure integration with APIs.
Typical project work
- Design collections, indexes, validation rules, and access patterns
- Migrate data from relational databases or legacy document stores
- Develop aggregation pipelines for reporting and operational views
- Configure Atlas clusters, replication, backups, and monitoring
- Improve query performance and manage production incidents
Freelance expertise is useful when a team is introducing MongoDB, restructuring an existing model, or preparing a workload for production. Professionals can also support a focused delivery without adding permanent database capacity.
When to bring in expertise
Companies often seek MongoDB specialists when application growth exposes slow queries, unclear ownership of data, or fragile deployment processes. A short engagement can clarify collection design, migration planning, security, and operational readiness. In Vienna, local teams may value on-site workshops alongside remote delivery and clear communication in English or German.
What quality looks like
A capable professional explains trade-offs instead of treating MongoDB as a universal replacement for relational databases. They test realistic query patterns, document operational decisions, and use explain plans and monitoring data to validate improvements. Look for experience with failure recovery, access control, backups, and the application framework surrounding the database.
Frequently asked questions
Questions about MongoDB? Start with the answers below.
MongoDB is used for applications that store flexible, nested, or rapidly changing data. Common examples include content platforms, product catalogs, customer services, event-driven systems, mobile backends, and real-time analytics. Its document model lets teams keep related data together when that matches application access patterns.
MongoDB differs from PostgreSQL and similar relational databases through its document model, flexible schemas, and collection-based design. Relational systems can be a stronger choice for highly structured data, complex joins, and strict transactional relationships. The right decision depends on query patterns, consistency needs, reporting requirements, and the wider application architecture.
A strong MongoDB specialist should understand data modeling, query analysis, indexing, backup and recovery, and production monitoring. Useful adjacent skills include MongoDB Atlas, cloud infrastructure, container orchestration, security, and a relevant application language such as JavaScript, Java, Python, Go, or C#. Experience with APIs and distributed systems is also valuable.
The right level of MongoDB experience depends on the project risk and scope. A simple application integration may need a professional who can model collections and write reliable queries, while a production migration or sharded deployment calls for deeper operational knowledge. Ask candidates to describe comparable decisions, failure scenarios, and measurable validation methods.
MongoDB work is often well suited to remote collaboration because schema reviews, query analysis, infrastructure configuration, and documentation can be handled online. Vienna-based companies may combine remote delivery with on-site planning sessions when architecture or stakeholder alignment benefits from direct discussion. Agree on access controls, working language, response windows, and handover expectations early.
Before granting access to MongoDB, confirm that the professional follows least-privilege practices and can work safely with backups, secrets, audit logs, and recovery procedures. Use separate environments and a documented change process. A reliable specialist should be comfortable reviewing access rules and explaining how changes will be tested and reversed.
Good MongoDB work is visible in clear collection boundaries, appropriate indexes, predictable query behavior, and documented operational controls. Ask for evidence from explain plans, load tests, monitoring, and recovery exercises rather than relying on claims alone. The specialist should also explain why a document model was chosen and where its limits lie.
MongoDB Atlas is the managed cloud service for MongoDB, while MongoDB also refers to the database technology itself. Atlas can simplify provisioning, scaling, backups, security settings, and monitoring, but teams still need sound data modeling and query design. A professional should know both the managed service options and the operational trade-offs of self-managed deployments.
The average hourly rate of freelancers in Vienna, Austria who have used MongoDB 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 MongoDB in their recent projects, 82% hold at least a Bachelor's degree, 55% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Vienna, Austria who have used MongoDB in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.7 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 (33%).
The most common industries among freelancers in Vienna, Austria who have used MongoDB in their recent projects are Information Technology (83%), Banking and Finance (75%), and Professional Services (58%).
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 (67%).
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
