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MongoDB Experts in Frankfurt

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Hire experts who design document models, build resilient data services and connect MongoDB with modern application stacks. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project needs.

Meet FRATCH Experts in Frankfurt, who have recently used MongoDB

Verified expert

Prasad T.

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Solution Architect / Senior Manager – DTC E-Commerce Platform

Frankfurt
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
Verified expert

Muhammad U.

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Software Engineer | React js | Node js | Next js | Express js | Next js | PHP | Laravel | MySql | Driven by Delivering

Frankfurt am Main
Muhammad U.

Last position:

Software Engineer at Absolutely Digital

Verified expert

Jan M.

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Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer

Heusenstamm
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
Verified expert

Basil S.

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Senior Developer / Data Engineer

Frankfurt am Main
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.
Verified expert

Markus K.

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Founder & Managing Director

Kelkheim (Taunus)
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.
Verified expert

Svyetoslav P.

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CTO

Frankfurt am Main
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
Verified expert

Ulm P.

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Freelance IT Specialist

Steinbach (Taunus)
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.
Verified expert

Werner K.

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Test Coordinator, Designer and Engineer

Bad Homburg
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
Verified expert

Marie-Josée M.

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Java Engineer / Developer

Eschborn
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.
Verified expert

Leonid R.

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Business Analyst | Requirements Engineer (certified) | Requirements Manager

Frankfurt am Main
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.
Verified expert

Christos P.

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Product management for the case handling system

Frankfurt
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
Verified expert

Krunal P.

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Technical Project Manager

Liederbach am Taunus
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.
Verified expert

Tan P.

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DevOps & Fullstack Engineer

Hanau
Tan P.

Last position:

DevOps Engineer in the DevOps Team at Rise-World

  • Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
  • Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
  • Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
  • Use of Scrum and Kanban methods.
  • Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
  • Development of new plugins and add-ons needed on current infrastructure.
  • Database support.
  • Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
  • Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
  • Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
  • Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
  • Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
  • Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
  • Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
  • Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
  • Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
  • Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
  • Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
  • Automated system provisioning and deployment using CloudFormation templates.
  • Configuration of IAM roles, policies and permissions to ensure secure access control.
  • Patch management, backup automation and disaster recovery setup on AWS infrastructure.
  • Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
  • Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
  • Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
  • Configuration of AWS CloudWatch to monitor application performance and system events.
  • Planning and execution of migration of on-premises applications to AWS cloud platforms.
  • Deployment of containerized applications using Docker and Kubernetes in AWS environments.
  • Deployment of internal software packages between availability zones using AWS CodeDeploy.
  • Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Verified expert

Muhammad A.

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Sr. Software Engineer

Frankfurt am Main
Muhammad A.

Last position:

Sr. Software Engineer at Hoja AI

  • Built scalable Flutter apps (mobile & web) using BLOC and Clean Architecture, improving app performance and maintainability.
  • Delivered advanced AI & agentic AI features with real-time communication and personalized user flows.
  • Developed backend services in Ktor (Kotlin) and ensured quality via testing, CI/CD, code reviews, and Scrum practices.

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)

MongoDB experts in Frankfurt have 16 years of professional experience on average. It is 1 year less than in Germany, where the average stands at 17 years.

Position duration

1.9 years (Germany: 2.1 years)

MongoDB experts in Frankfurt stay in a single position for 1.9 years on average. It is 0.2 years less than in Germany, where the average stands at 2.1 years.

Positions per freelancer

13 (Germany: 11)

MongoDB experts in Frankfurt have completed 13 positions on average over the course of their careers. It is 2 more than in Germany, where the average stands at 11.

Top business areas

Information Technology, Product Development, Quality Assurance

MongoDB experts in Frankfurt have gathered most of their hands-on project experience in Information Technology, Product Development, and Quality Assurance.

Top industries

Information Technology, Banking and Finance, Healthcare

MongoDB experts in Frankfurt are most in demand in Information Technology, Banking and Finance, and Healthcare.

Certification focus areas

Information Technology, Project Management, Product Development

MongoDB experts in Frankfurt earn their certifications most often in Information Technology, Project Management, and Product Development.

Bachelor's degree or higher

92% (Germany: 93%)

92% of MongoDB experts in Frankfurt hold at least a Bachelor's degree. It is 1% lower than in Germany, where the rate stands at 93%.

Master's degree or higher

52% (Germany: 57%)

52% of MongoDB experts in Frankfurt hold at least a Master's degree. It is 5% lower than in Germany, where the rate stands at 57%.

Doctorate

8% (Germany: 6%)

8% of MongoDB experts in Frankfurt have a doctorate (PhD). It is 2% higher than in Germany, where the rate stands at 6%.

Certifications per freelancer

2

MongoDB experts in Frankfurt hold 2 professional certifications on average.

Most common languages

German, English, French

MongoDB experts in Frankfurt most often speak German, English, and French.

Speak two or more languages

100% (Germany: 97%)

100% of MongoDB experts in Frankfurt speak two or more languages. It is 3% higher than in Germany, where the rate stands at 97%.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 5 10 15 20
2 of the MongoDB experts in Frankfurt charge less than €400 per day.
17 of the MongoDB experts in Frankfurt charge between €400 and €800 per day.
7 of the MongoDB experts in Frankfurt charge between €800 and €1200 per day.
2 of the MongoDB experts in Frankfurt charge €1200 or more per day.
<€400 €400-​800 €800-​1200 €1200+

The chart shows how the daily rates of freelancers in this technology in Frankfurt 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 Frankfurt using MongoDB

Rates are based on recent contracts and do not include FRATCH margin.

800
600
400
200
Rate comparison chart
Daily rate avg. 724 €
Germany avg. 737 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 720 €
Germany median 720 €

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 (100%)
  • Banking and Finance (58%)
  • Healthcare (55%)
  • Retail (39%)
  • Transportation (35%)
  • Education (32%)
  • Media and Entertainment (32%)
  • Professional Services (32%)

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 fixed rows and tables. It suits applications that handle changing data structures, nested records and high volumes of reads and writes. Teams use it for customer platforms, content systems, product catalogs, event data and backend services.

Data modeling

Strong MongoDB work starts with modeling access patterns, not simply copying a relational schema. Specialists decide when to embed related data, when to reference it and how to shape collections for reliable queries. They also define validation rules, indexes, retention policies and migration paths as the product evolves.

Ecosystem and tooling

MongoDB projects often include MongoDB Atlas, the MongoDB Query API, aggregation pipelines and change streams. Depending on the application, experts also work with drivers for Node.js, Python, Java, C# or Go, as well as Mongoose, Spring Data MongoDB, Docker and Kubernetes. Monitoring and backup workflows are part of dependable delivery.

Typical use cases

  • Design collections for web and mobile applications
  • Build aggregation pipelines for operational reporting
  • Stream changes into search, analytics or messaging systems
  • Migrate data from relational or legacy databases
  • Operate replicated and sharded clusters

When expertise matters

Companies bring in freelance MongoDB professionals when a prototype must become a reliable product, query performance is difficult to explain or a migration carries operational risk. They can also help when teams need Atlas configuration, stronger backup and recovery plans, or a clear approach to scaling. Frankfurt teams may combine remote delivery with on-site workshops and existing German or English processes.

What strong professionals bring

Experienced MongoDB specialists explain the trade-offs behind every model and query. They test realistic workloads, inspect execution plans, choose indexes carefully and protect consistency where it matters. Look for practical knowledge of replica sets, sharding, transactions, security, observability and application-level data access, together with clear documentation and handover.

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Frequently asked questions

Everything clients usually want to know about MongoDB, in one place.

MongoDB is commonly used for applications with flexible or evolving data, including content platforms, customer systems, catalogs, event-driven services and mobile backends. Its document model can reduce friction when related information is naturally stored together.

MongoDB favors document structures and flexible schemas, while PostgreSQL and similar systems center on tables, relations and strong SQL capabilities. The right choice depends on access patterns, consistency requirements, reporting needs and the shape of the domain rather than on a simple database ranking.

A strong MongoDB expert should understand application architecture, API design, data security and cloud operations. Useful adjacent skills include MongoDB Atlas, aggregation pipelines, containerization, observability and a relevant language ecosystem such as Node.js, Java, Python or Go.

The right level depends on the risk and scope of the work. A small application may need a professional who can model collections and tune queries, while migrations, sharding, recovery planning or high-volume workloads call for deeper operational expertise and evidence from comparable systems.

MongoDB projects are often well suited to remote collaboration because modeling, code review, monitoring and documentation can be handled online. Frankfurt companies may still prefer on-site workshops for discovery or handover, with German or English communication agreed at the start.

Ask the MongoDB specialist to explain a data model from its access patterns, show how queries are measured and describe failure recovery. Strong professionals discuss indexing trade-offs, consistency, security and monitoring in concrete terms instead of presenting schema flexibility as a complete solution.

MongoDB Atlas is a good fit when a team wants managed deployment, backups, monitoring and scaling options without operating every database component itself. A specialist should still configure access controls, network boundaries, backup policies and cost-aware capacity settings for the workload.

MongoDB supports transactions for operations that need coordinated changes across documents and collections. Its aggregation framework handles many reporting tasks, but teams with heavily relational analysis or complex ad hoc reporting may still pair it with a warehouse or choose a relational system for that workload.

The average hourly rate of freelancers in Frankfurt, Germany who have used MongoDB in their recent projects is 90 €, which corresponds to a daily rate of about 724 € 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, 52% hold at least a Master's degree, and 8% 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 (16%).

The most common industries among freelancers in Frankfurt, Germany who have used MongoDB in their recent projects are Information Technology (100%), Banking and Finance (58%), and Healthcare (55%).

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 (55%).

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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