MongoDB Experts in Essen
matched in minutes from over 15,000 CVsHire experts who design document models, build aggregation pipelines and run reliable MongoDB clusters for web products, APIs and data-intensive applications. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Essen, who have recently used MongoDB
Boris S.
Last position:
Generalist expert for software development at Mercor
- Training AI models, evaluating images and text UI/UX, turning the provided data into insights through OpenAI Feather as part of the machine learning workflow
Technologies: OpenAI Feather
Saruna M.
Last position:
Master's Thesis at Heinrich Heine Universität
- Title: Enhancing Syntactic Awareness in Transformer Language Models for Hindi Dependency Parsing
- Investigated syntactic knowledge captured by transformer language models (RoBERTa, XLM-RoBERTa) for Hindi dependency parsing, a morphologically rich and low-resource language.
- Developed structure-aware model variants (Struct_Roberta_hi, Struct_XLMR) by integrating a CNN-based parser network between transformer layers, inspired by the StructFormer architecture.
- Conducted extensive error analysis including label-wise, distance-based, direction-based, sentence length-based, and LVC/Non-LVC evaluations.
- Evaluated models on downstream NLP tasks (NER, POS tagging) using the IndicXTREME benchmark.
Celil U.
Last position:
ZÃœRS Geo 2021 at adesso SE
- Frontend development
- Spring Boot
- Swagger
- Git
- GitLab
- SonarQube
- Docker
- Maven
- Java
- Angular
Ahmet C.
Last position:
Senior Android Developer at enbw
- Support in restructuring and designing the group's internal Android apps
- Defining essential modules and implementing accessible components
- Establishing agile approaches at an international level
- Technologies & Methods: Kotlin, Android, JUnit 5, Koin, Azure DevOps, Android Studio, Git, Jetpack Compose, Coil, Flow API, Ktor, Coroutines, TypeScript, Node.js
Hendrik L.
Last position:
Senior Modernization Engineer – Legacy Web App Performance & Refactoring (Energy Sector) at Levering IT GmbH
Re-architected a web application that had grown over years, modularizing tightly coupled components
Reduced response times from several seconds to <50 ms
Removed performance bottlenecks
Simplified architecture so internal teams can implement features on their own again
Daniel U.
Last position:
Senior Application Packaging & Deployment Engineer at Allevio AG (Client: Allianz Technology)
- Enterprise application packaging and deployment for Allianz's global Windows migration programs across Europe, North America, and APAC
- Migrated hundreds of enterprise applications from Windows 10 VDI to Microsoft Azure Windows 365 (Windows 11)
- Created software packages in MSI/MST, FlexApp, PSADT 3/4, and App-V according to enterprise packaging standards
- Developed an ASP.NET packaging automation platform with MongoDB, SQL Server, SharePoint, and Outlook integration
- Built PowerShell modules for automated quality checks of MSI and FlexApp packages
- Developed a release conflict detection module in PowerShell to identify potential deployment issues before production
- Created WDAC monitoring scripts for automated policy oversight and incident response
- Implemented MSGraph API calls in PowerShell for Azure AD and Intune operations
- Created Citrix oData scripts for historical usage analysis (BYOD, VDI, fat clients)
- Developed an Intune Win32 app 'Do Not Disturb' deployment routine for an optimal user experience
- First point of contact for troubleshooting production incidents with packaged applications
- Coordinated application owner, UAT, and release testing for hundreds of deployments
- Administered Microsoft Intune, Citrix environments, and SQL Server security
- Created and tested WDAC policies in Intune; managed configuration policies and Win32 app deployments
- Primary packaging resource for Allianz France since 2019
Kamal T.
Last position:
Design and development of a requirements verification tool based on the INVEST principle at Ranasoft Internet Technologies
- Design of requirement verification based on the INVEST principle
- Implementation of the prediction model with scikit-learn and BERT
- Implementation of the web client with ReactJS and FastAPI
- Adaptation of the T5 model to improve user story generation according to the INVEST framework
- Certification of NLP and scikit-learn
- Technologies: Python, NLP, Scikit-Learn, BERT, T5, ReactJS, FastAPI, Cursor Visual Paradigm, Visual Studio, Draw.io, NSIS, vite, Electron
Nils S.
Last position:
Backend system and web client for exchanging electricity meters for utility providers at Freelance
Design and implementation of a system to control the entire process for new, removal, and exchange operations of electricity meters by external service providers for a utility company
Automated retrieval of orders and available devices via defined interfaces (e.g. from SAP)
Orchestration of process steps (assigning meters, processing meter data, sending updated information back to the source system) using a Spring Boot backend
Provision of a React-based web client for operational tracking and control of orders, e.g. to continue failed process steps or resend notifications
Orlando N.
Last position:
Workshop on Machine Learning and Large Language Models
- Introduction, discussion, and hands-on session for a client in the staffing industry
Discover over 15,000 top freelancers
Statistics of experts using MongoDB
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 17 years)
Position duration
2.6 years (Germany: 2.1 years)
Positions per freelancer
10 (Germany: 11)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Education, Energy
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
88% (Germany: 93%)
Master's degree or higher
75% (Germany: 57%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
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 Essen 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 Essen 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 (89%)
- Education (44%)
- Energy (44%)
- Banking and Finance (44%)
- Retail (44%)
- Automotive (33%)
- Healthcare (33%)
- Insurance (33%)
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 documents rather than rows and columns. It stores related data together, supports changing schemas and handles application workloads that need fast reads and writes. Teams use it for product platforms, content systems, customer portals and operational data services.
Data modeling
Strong MongoDB work starts with a model shaped around how the application reads and updates data. Experts decide when to embed documents, when to reference related records and how to control document growth. They also define validation rules, indexes and access patterns before production traffic exposes design flaws.
Ecosystem and tooling
MongoDB projects often include Atlas, replica sets, sharding, aggregation pipelines and change streams. Specialists may also work with drivers for Java, Node.js, Python or .NET, as well as Docker, Kubernetes, backup tooling and observability systems. Their adjacent skills should fit the application stack and operating environment.
- Design collections, indexes and aggregation workflows
- Configure replication, failover and secure access
- Connect MongoDB to APIs, services and event flows
When expertise matters
Companies bring in freelance MongoDB expertise when a new data model must support rapid product change, when queries slow down under real workloads or when a migration needs careful planning. In Essen, specialists may support local teams on site or collaborate remotely across Germany, with German or English used according to the project.
- Review an existing schema and query profile
- Plan migrations from relational or legacy systems
- Prepare production operations, backups and recovery
Reliable production work
A capable professional treats performance, security and recovery as part of the design. They understand compound and partial indexes, explain plans, read and write concerns, transactions and replica-set behavior. They document trade-offs clearly and test failure scenarios instead of relying on development data alone.
Choosing a specialist
Assess practical evidence: a clear data model, measured query improvements, safe migration steps and experience with the relevant driver or cloud setup. Ask how the specialist handles schema evolution, access control, monitoring and incident recovery. The best fit connects MongoDB decisions to business workflows and communicates limits before implementation begins.
Frequently asked questions
Need clarity? These are the questions we hear most often about MongoDB.
MongoDB is used for applications with flexible, nested or rapidly changing data, including content platforms, catalogs, customer portals, mobile back ends and event-driven services. It is also suitable for operational workloads that need document-level access without joining many tables.
MongoDB stores records as documents, which can keep related data together and make changing application structures easier. Relational databases remain a strong choice for highly normalized data, complex joins and strict transactional relationships, so the right option depends on access patterns and consistency needs.
A well-designed MongoDB deployment can support high traffic through indexes, replication and horizontal scaling. Results depend on document shape, query patterns, working-set size and operational controls, so a specialist should validate the design with realistic workloads rather than relying on default settings.
A strong MongoDB specialist should understand API design, data modeling, application drivers and performance analysis. Experience with cloud infrastructure, Docker or Kubernetes, monitoring, backup recovery and security is valuable when the work includes production operations.
The required depth depends on the risk and scope. A straightforward application integration may need focused database expertise, while sharding, migrations, incident recovery or a large schema redesign calls for a professional who has handled those situations in production.
Yes. MongoDB work is often suitable for remote collaboration when the team can provide secure access, clear documentation and reliable environments. On-site work in Essen can help with workshops, architecture decisions or close coordination, while implementation and reviews can remain remote.
Ask the freelancer to explain a real MongoDB design, including embedding choices, indexes, consistency settings and recovery plans. Review how they measure query performance, protect credentials, document operational procedures and communicate trade-offs to the wider team.
A MongoDB project is in good shape when its collections reflect actual access patterns, important queries use suitable indexes and monitoring exposes latency, errors and resource pressure. The freelancer should also check backups, restore testing, permissions, schema validation and how the system behaves during node or service failure.
The average hourly rate of freelancers in Essen, Germany who have used MongoDB in their recent projects is 86 €, which corresponds to a daily rate of about 690 € based on an 8-hour working day.
Of the freelancers in Essen, Germany who have used MongoDB in their recent projects, 88% hold at least a Bachelor's degree and 75% hold at least a Master's degree.
On average, freelancers in Essen, Germany who have used MongoDB in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Essen, Germany who have used MongoDB in their recent projects are German (100%), English (100%), and French (22%).
The most common industries among freelancers in Essen, Germany who have used MongoDB in their recent projects are Information Technology (89%), Education (44%), and Energy (44%).
The most common business areas among freelancers in Essen, Germany who have used MongoDB in their recent projects are Information Technology (100%), Product Development (89%), and Quality Assurance (78%).
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.
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Frankfurt 
Stuttgart 
Dusseldorf 
Leipzig 
Dortmund 
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