
MongoDB Experts in Frankfurt
matched in minutes from over 15,000 CVsHire experts who design document models, build aggregation pipelines and operate MongoDB Atlas or self-managed clusters. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Frankfurt, who have recently used MongoDB
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Bardiya B.
Last position:
Data Scientist at Rewe Digital GmbH
Statistical Forecasting Algorithm
- Improvement of an statistical probabilistic forecasting algorithm for sales + evaluation
- Migration from R/On-premise to Python/Snowflake
- Productionalization on Snowflake in cooperation with data engineers & DevOps
Monitoring Dashboard
- Data engineering for preparation & provisioning of necessary data/resources on Snowflake
- Development & deployment of a Streamlit dashboard in Snowflake
ML-based Probabilistic Forecasting on Vertex AI
- Development of a ML-based probabilistic forecasting algorithm from scratch
- Implementation of MLOps pipeline in Kubeflow on Google Cloud Vertex AI
Tech Stack: Python, Snowflake/Snowpark, R, Streamlit, Gitlab/Gitlab CICD, Terraform, Google Cloud, Vertex AI (aiplatform SDK, gcloud CLI, feature store, model registry, etc), kubeflow
Muhammad U.
Last position:
Software Engineer at Absolutely Digital
Jan M.
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
Mojtaba G.
Last position:
Full-Stack Software Developer at Energiebereich
- Led and coordinated consumption and price calculations for gas and electricity forecasts to ensure accurate and reliable price determination
- Implemented modern .NET 7-based microservices and Web APIs in an Azure environment using Azure App Service, Azure Storage and Azure Service Bus
- Created and managed infrastructure in Azure using Terraform, including resource provisioning and the automation of deployment processes
- Developed and maintained Azure DevOps pipelines to optimize build, test and release workflows
- Optimized data management with SQL Server and ensured seamless integration across all services
- Developed the frontend with Angular 16, TypeScript, CSS, HTML and Kendo UI to provide an intuitive and engaging user interface
Basil S.
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Markus K.
Last position:
Founder & Managing Director at Qrafto UG (haftungsbeschränkt)
- Founding and overall responsibility: Built a B2B SaaS platform for craft and construction businesses from the first line of code to the live launch with the first paying customer; solo founding including full establishment of the company and all business processes.
- Product and technology responsibility: Designed and developed the entire product.
- Infrastructure & DevOps: Managed a Kubernetes/Helm environment including CI/CD, monitoring, and security architecture; GDPR-compliant platform decisions and evaluation of EU-hosted LLM providers.
- Agentic coding as a productivity multiplier: Set up a productive multi-agent environment with Claude Code: up to eight parallel agents in isolated Git worktrees, Telegram-based remote control and monitoring, MCP integrations (e.g., Context7, Playwright for E2E tests), and a builder-critic pattern with custom slash commands (/research, /plan) and compressed project contexts. Result: development throughput on par with a small team while working solo.
- Go-to-market: Independently developed positioning, SEO and direct mail playbook, as well as target group analysis.
- Regulation & finance: Implemented e-invoicing requirements (ZUGFeRD/XRechnung), set up accounting and payment infrastructure, and managed funding and financing options.
Svyetoslav P.
Last position:
CTO at Skar Audio
- Main developer in an online retail company
- Built an online shop using the Next.JS React framework
- Integrated the site with dozens of third-party apps using REST and GraphQL APIs
- Built a backend for order management, warehouse management (with iPhone app), and supply management
- Automated invoicing and finances with QuickBooks
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Marie-Josée M.
Last position:
Java Engineer / Developer at Davaso GmbH
- Involved in the full development lifecycle, including design, coding, testing, and deployment of Java-based applications.
- Built and maintained high-performance RESTful APIs and microservices, ensuring scalability and reliable data exchange.
- Practiced code reviews, used version control systems (e.g., Git), and collaborated closely with cross-functional teams to deliver robust software solutions.
- Implemented, managed, and optimized complex business logic and decision-making processes using the Drools Rules Engine, leveraging DRL (Drools Rule Language) for dynamic configuration.
- Developed software solutions for a major service provider in the healthcare insurance sector, specifically focusing on claims processing and reconciliation logic to ensure cost-effective reimbursement for health funds.
Leonid R.
Last position:
IT Business Analyst / Requirements Engineer at S-Payment GmbH / Sparkasse (DSV-Gruppe)
- Business analysis of payments for the introduction of Wero EPI in Germany.
- Analysis and optimization of merchant processes in the context of acquiring and issuing.
- Analysis of interfaces for instant payments.
- Analysis of SCT-Inst processes, settlement mechanisms and reporting processes.
- Identification and clarification of gaps in merchant processes.
- Analysis and documentation of clearing and settlement processes.
- OSPlus process analysis and documentation.
- Coordination and alignment with scheme management as well as various payment service providers and financial institutions on merchant processes.
- Preparation and follow-up as well as active participation in EPI meetings on technical coordination and regulatory topics in payments, including content familiarization and prioritization.
- Preparation and documentation of project and steering committees in the EPI environment.
- Creation of status reports for the subproject.
- Maintenance and structuring of Confluence pages for project documentation.
- Coordination and alignment with the issuing teams on individual customer processes as well as aligning with bank processes and acquirer processes in the Wero environment.
- Communication with payment service providers regarding merchant and bank processes in the Wero environment.
- Organizational support for project management in special tasks in the EPI and Wero environment.
- Digital filing and documentation in Confluence and Microsoft Teams.
- Planning, implementation and tracking of work packages and steps.
- Quality assurance and project control.
- Consulting on IT strategy, IT architecture and interface management in the EPI and Wero environment.
- Technical environment: Jira, Confluence, XML, JSON, MS Office (Word, Excel, Teams, PowerPoint), SharePoint, Draw.io, Innovator, 3rd-level support, ITIL, creation and updating of software documentation, interface management, OSPlus, Scrum, KYC, payment, European Payments Initiative (EPI), Wero, Microsoft Loop, Instant Payments, SCT-Inst.
Christos P.
Last position:
Product management for the case handling system at Federal Criminal Police Office (BKA)
- Technical translation of customer requirements into actionable solutions
- Support for technical aspects of product development
- Analysis of technically complex processes
- Support during test execution
- Close collaboration and coordination with the vendor
Krunal P.
Last position:
Technical Project Manager at Moon Technolabs Pvt. Ltd.
- Manage end-to-end delivery of software projects across healthcare, gaming, and communication domains.
- Serve as Project Manager, Product Owner, and Scrum Master for multiple Agile teams.
- Oversee scope definition, sprint execution, and delivery tracking using Jira and Confluence.
- Design technical architectures and API strategies integrating Twilio, CRMs, and VoIP systems.
- Lead AI/ML projects implementing recommendation engines and automation workflows.
- Support pre-sales with effort estimation, technical documentation, and proposal reviews.
Discover over 15,000 top freelancers
Statistics of experts using MongoDB
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 17 years)

Position duration
1.9 years (Germany: 2.1 years)

Positions per freelancer
13 (Germany: 11)

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Healthcare

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
92%
Master's degree or higher
54% (Germany: 57%)
Doctorate
12% (Germany: 6%)

Certifications per freelancer
3 (Germany: 2)

Most common languages
German, English, French

Speak two or more languages
100% (Germany: 97%)
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 Frankfurt 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 Frankfurt 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 (100%)
- Banking and Finance (59%)
- Healthcare (53%)
- Retail (41%)
- Transportation (34%)
- Media and Entertainment (34%)
- Professional Services (34%)
- Education (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Document database
MongoDB is a document-oriented NoSQL database for storing JSON-like records in flexible BSON documents. It suits applications where data structures evolve, related information is read together, or teams need to scale services without forcing every record into fixed relational tables. MongoDB is used in web products, mobile backends, content systems, customer platforms and real-time applications.
Data modelling
Strong MongoDB work starts with modelling around access patterns rather than simply converting relational tables. Experts choose between embedding and referencing, define validation rules, plan indexes and shape documents for reliable reads and updates. They also address schema evolution, document size, consistency requirements and transaction boundaries before these choices become production issues.
Ecosystem and tooling
The ecosystem covers MongoDB Atlas, self-managed deployments, drivers for JavaScript, Python, Java, C#, Go and other languages, plus tools for migration, monitoring and backup. Specialists commonly work with aggregation pipelines, change streams, replica sets and sharding. They may also connect MongoDB with Kafka, search services, Kubernetes, serverless functions or application frameworks.
- Design collections and indexes for real application queries
- Build aggregation pipelines and data access layers
- Configure replication, backups, observability and access control
- Migrate data from relational or legacy systems
When to bring in experts
Companies often bring in freelance MongoDB expertise during a new product build, a migration from SQL, a performance investigation or a move to MongoDB Atlas. External specialists can also help when rapid growth exposes weak indexes, inefficient pipelines, poor shard keys or unclear ownership of production operations. In Frankfurt, remote collaboration can support local product, media, finance and industrial teams while on-site workshops remain useful for architecture decisions.
Delivery and collaboration
A capable professional turns requirements into tested collections, documented queries, repeatable deployment configuration and clear operating procedures. They work closely with application specialists, security teams and data professionals, using profiling and monitoring rather than guesswork. For distributed teams, concise documentation, dependable handovers and communication in the agreed working language matter as much as database expertise.
Signs of quality
Look for evidence that a specialist has solved the same kind of data and workload problem, not just used the MongoDB shell. Strong professionals can explain trade-offs in document design, indexing, consistency, scaling and recovery in plain language. They validate decisions with representative workloads and leave behind systems that another team can operate.
- Queries are supported by appropriate indexes and measured with profiling
- Backup and restore procedures have been tested
- Security, roles, encryption and network access are documented
- Scaling choices match actual traffic and data patterns
Frequently asked questions
Everything clients usually want to know about MongoDB, in one place.
MongoDB is used for applications that store flexible, frequently changing or nested data. Common examples include product catalogues, content platforms, customer profiles, event data, mobile backends and service-oriented applications.
MongoDB offers document-based modelling and flexible schemas, while PostgreSQL and similar systems centre on relational tables, joins and strong relational constraints. The better choice depends on access patterns, transaction needs, reporting requirements and how naturally the domain fits documents.
A strong MongoDB specialist usually understands application development, data modelling, indexing and performance analysis. Experience with MongoDB Atlas, cloud networking, containers, backup design, observability and a relevant driver such as Node.js, Python or Java is also valuable.
The right level depends on the risk and scope of the work. A contained application feature may need focused database expertise, while migrations, sharding, recovery planning or production performance work call for a professional who has operated comparable MongoDB systems.
MongoDB work is often well suited to remote collaboration because modelling, query review, monitoring and documentation can be handled online. On-site sessions in Frankfurt can still help with workshops, security reviews and coordination with local product or infrastructure teams.
Ask the specialist to explain a real document-model decision, the indexes behind important queries and how they would test recovery. A quality MongoDB professional discusses trade-offs clearly, uses profiling evidence and treats security, backups and operational ownership as part of delivery.
MongoDB Atlas is the managed cloud service for MongoDB, with hosted infrastructure and operational features handled through the service. Self-managed MongoDB gives a team more direct control over deployment and maintenance, but also places upgrades, monitoring, backups and availability responsibilities on that team.
A MongoDB specialist may deliver collection and index designs, aggregation pipelines, migration scripts, access controls, deployment configuration and monitoring dashboards. Good delivery also includes tests, runbooks and documentation that explain how the database should be operated after handover.
The average hourly rate of freelancers in Frankfurt, Germany who have used MongoDB in their recent projects is 92 €, which corresponds to a daily rate of about 737 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used MongoDB in their recent projects, 92% hold at least a Bachelor's degree, 54% hold at least a Master's degree, and 12% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used MongoDB in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Frankfurt, Germany who have used MongoDB in their recent projects are German (100%), English (100%), and French (19%).
The most common industries among freelancers in Frankfurt, Germany who have used MongoDB in their recent projects are Information Technology (100%), Banking and Finance (59%), and Healthcare (53%).
The most common business areas among freelancers in Frankfurt, Germany who have used MongoDB in their recent projects are Information Technology (100%), Product Development (97%), and Quality Assurance (53%).
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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