MongoDB Experts in Vienna
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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).
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)
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
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
Üsame 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"
Discover over 15,000 top freelancers
Statistics of experts using MongoDB
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.8 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, Product Development
Bachelor's degree or higher
83%
Master's degree or higher
50%
Doctorate
8%
Certifications per freelancer
3
Most common languages
German, English, 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 Vienna 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 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 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 (85%)
- Banking and Finance (77%)
- Professional Services (62%)
- Telecommunication (54%)
- Transportation (46%)
- Government and Administration (46%)
- Energy (31%)
- Utilities (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Document database
MongoDB is a document-oriented database for storing JSON-like records in flexible BSON documents. It supports changing data structures, nested objects and rich queries without forcing every record into fixed relational tables. Companies use it for content platforms, customer applications, catalogs, event data and operational systems.
Data modeling
Strong MongoDB specialists shape collections around the way an application reads and writes data. They decide when to embed related data, when to reference it, and how to manage schema changes without disrupting live services. Careful modeling keeps queries clear, documents useful and future migrations manageable.
Queries and aggregation
MongoDB provides expressive queries, indexes and aggregation pipelines for filtering, transforming and summarizing document data. Professionals work with compound, text, geospatial and partial indexes, then examine query plans to remove avoidable latency. They also handle transactions when a workflow needs coordinated updates across collections.
Ecosystem and delivery
MongoDB projects often include MongoDB Atlas, replica sets, sharding, change streams and backup policies. Adjacent skills may cover Node.js, Java, Python, .NET, Spring Data, Mongoose, Docker and cloud infrastructure. Typical deliverables include:
- Collection and index design
- Aggregation pipelines and data migrations
- Atlas deployment and access controls
- Backup, monitoring and recovery procedures
When to bring expertise
Freelance MongoDB expertise helps when a team is moving from a relational model, scaling a high-volume application or replacing fragile data access code. It is also valuable during Atlas adoption, production incidents and migrations from legacy databases. In Vienna, specialists may support local product, media, retail and industrial teams remotely or alongside an on-site group.
What quality looks like
A capable professional explains trade-offs instead of treating MongoDB as a schema-free shortcut. They can show how document design, indexes, consistency settings and replication affect the application, then validate decisions with representative workloads. Clear documentation, secure configuration, tested recovery and practical collaboration in English or German are strong quality signals for Vienna-based work.
Frequently asked questions
Questions about MongoDB? Start with the answers below.
MongoDB is used for applications that benefit from flexible document structures, including content management, product catalogs, customer portals, analytics services and event-driven systems. It is especially useful when records contain nested or changing attributes and teams need to evolve the data model quickly.
MongoDB stores related information in documents and collections, while PostgreSQL and similar systems organize data in tables with explicit relationships. MongoDB can simplify data access for aggregate-shaped records, whereas relational databases may be stronger for highly connected data, complex joins and strict transactional reporting. The right choice depends on access patterns, consistency needs and team expertise.
A strong MongoDB specialist should understand application development, data modeling, indexing and production operations. Useful adjacent skills include MongoDB Atlas, cloud networking, Docker, Kubernetes, Node.js, Java, Python, .NET, Mongoose or Spring Data. Security, observability and backup design matter as much as query syntax.
The required depth depends on the work. A small application feature may need a professional who can model collections and write reliable queries, while a migration, sharded deployment or recovery redesign calls for deeper MongoDB production experience. Assess the specialist against the workload, data volume, availability needs and delivery risk rather than a generic tenure label.
Yes. MongoDB work is often suitable for remote collaboration because schema reviews, query analysis, deployment changes and documentation can be handled securely online. On-site sessions in Vienna can still help with architecture workshops, incident response or close coordination with a local product team. Agree on access controls, communication routines and language expectations early.
MongoDB Atlas is a managed service that reduces the operational work of provisioning, upgrades, monitoring and backups. It can suit teams that want managed cloud infrastructure and integrated security controls, while self-managed MongoDB may be preferable for particular hosting, network or compliance constraints. A specialist should compare those constraints before recommending a deployment model.
Ask the professional to explain the document model, expected access patterns, index choices and failure handling in plain language. Good MongoDB work includes tested migrations, measured query behavior, least-privilege access, backup verification and clear recovery steps. A practical review of representative queries is more revealing than a broad tool list.
A freelancer should clarify the current schema, critical queries, consistency requirements, deployment setup and operational ownership before changing MongoDB data structures. They should also understand whether the system uses Atlas, replica sets, sharding, change streams or a framework such as Mongoose. Clear boundaries around production access and rollback plans reduce delivery risk.
The average hourly rate of freelancers in Vienna, 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 Vienna, 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 8% hold a doctorate.
On average, freelancers in Vienna, Austria who have used MongoDB in their recent projects have 21 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 (31%).
The most common industries among freelancers in Vienna, Austria who have used MongoDB in their recent projects are Information Technology (85%), Banking and Finance (77%), and Professional Services (62%).
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 (62%).
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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FRATCH CEO
