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MongoDB Experts in Switzerland

in minutes from over 15,000 CVs with the power of AI.

Hire experts who model flexible data, tune aggregation pipelines, and run MongoDB Atlas or self-managed clusters with care. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Switzerland, who have recently used MongoDB

Verified expert

Osman Tartoussi

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Senior Developer and Consultant

Gümligen
Osman Tartoussi

Last position:

Senior Developer and Consultant at Federal Office for IT and Telecommunications BIT

  • IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration and continuous delivery in the backend and frontend area.

  • Technology stack:

  • JAVA 21

  • Spring Boot 3

  • Spring Framework 6

  • Spring Rest

  • Spring Data

  • JPA

  • Postgres

  • Aurora Database

  • Typescript

  • OWASP

  • Renovatebot

  • Sonarqube

  • Prometheus

  • Grafana

  • Spring Security

  • Single SignOn

  • Keycloak

  • Angular 19

  • NgRx Redux

  • AWS ECS

  • AWS Cloudwatch

  • Terraform

  • Spacelift

  • GitOps

  • Docker

  • Junit

  • Maven

  • Jenkins Pipeline

  • GitHub

  • BitBucket

  • Nexus

  • Kafka

  • Conduktor

  • Kafdrop

  • OpenApi

  • Swagger

  • Scrum

  • SAFe

  • Jira

  • Confluence

Verified expert

Piotr Seredyn

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CTO Program Manager, Theme Owner / Senior Project Manager

Zürich
Piotr Seredyn

Last position:

CTO Program Manager, Theme Owner / Senior Project Manager at Avaloq Group AG

  • Clients: Central banks of the most developed economies in the world, German, Swiss, Luxembourgish, Monegasque, Singaporean, Japanese wealth managers and universal/private banks, world’s largest investment banks
  • Accountable for managing the delivery of a portfolio of digital wealth and consumer relationship management initiatives
  • Project managing portfolios of projects within CTO product and technology business area (cyber security, architectural changes, re-organisational transformation, 3rd party apps)
  • Products: Kernel & Parametrisation for Core Avaloq Banking Platform; modules: CRM, client data management, wealth management, portfolio management (generating over 90% of company revenues)
  • Key responsibilities:
  • Reporting to Head of Disruptive Innovation Division; stakeholder to five product owners & two domain owners
  • Accountable for delivery of annual themes and quarterly key deliverables
  • Managing demand vs supply via QBR process: book of work, execution, reporting, risk management
  • Directly managing around 40 external consultants (front-end/back-end engineers, BAs, designers)
  • Hiring and managing resources in eight countries
  • Running quarterly divisional closure meetings presenting achievements and challenges
  • Resolving cross-team dependencies and internal/external conflicts
  • Owning and controlling maintenance budget; planning, forecasting, execution; ensuring demand matches supply
  • Identifying and staffing key roles with chapter leads
  • Approach: Agile, Scrum of Scrums, QBR/OKRs
  • Technology: Angular, PL/SQL, JavaScript, Confluence, JIRA (JQL)
Verified expert

Ahmed Rehman

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AI & Automation Engineer

Küsnacht
Ahmed Rehman

Last position:

AI & Automation Engineer at Teosek GmbH

  • Build prototypes, expand AI skills, and practical application in a startup context.
  • Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
  • Technologies: LangChain, REST, Python, Java, JS, TS, Node.
Verified expert

Stefan Hess

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Fullstack Development, Product Owner & Tech Lead

Horw
Stefan Hess

Last position:

Fullstack Development, Product Owner & Tech Lead at Trex AG

  • Business analysis, architecture, and implementation of a telemedicine platform for pet owners.
  • Leading the development team as Product Owner and Tech Lead.
  • Introducing agile processes, setting up development guidelines and system documentation.
  • Planning and implementing features like video calls, live chat, and marketing automation.
  • Implementing AI-based features such as automated tagging of information (missing pet reports, marketplace entries, etc.), preparation of social media content, and processing of conversation transcripts.
  • Skills: Angular, NGXS, Tailwind, Java, Spring Boot, Kubernetes, Docker, CI/CD, MySQL, LLMs, RAG, MCP, Redis, OpenSearch.
  • Industry: Veterinary medicine.
Verified expert

Matthias Isler

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Fractional CTO (Principal Engineer / Technical Architect)

Zürich
Matthias Isler

Last position:

Fractional CTO (Principal Engineer / Technical Architect)

  • Designed large-scale systems and APIs serving thousands of concurrent users.
  • Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
  • Introduced SLO-based observability, improving reliability and recovery flow.
  • Optimised cloud and databases, achieving significant cost and latency reduction.
  • Delivered LLM, RAG, and document-automation pipelines adopted in production.
Verified expert

Ned O’hara

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Tech Lead

Stettlen
Ned O’hara

Last position:

Tech Lead at R3leaf GmbH

  • Autonomously drafted architecture and delivered production code at startup pace
  • Wrangled diverse geospatial formats (NETCDF, GeoTIFF, GML) into unified standards and built scalable climate data visualisations from hundreds of GBs of geodata in a production web app
  • Mentored developers, facilitated AI skill sharing, and contributed to competitive strategy with C-Level leadership
Verified expert

Karl Estermann

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incl. CI/CD, automation

Zürich
Karl Estermann

Last position:

incl. CI/CD, automation at AALS Software AG

  • Designed and delivered a practical real-time course on Flink and Hadoop with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, and Kafka
  • Gained extensive DevOps and CI/CD experience
  • Created ETL/ELT pipelines with Apache tools and Pentaho
  • Led projects in municipal software, financial services, and big data with Kafka
  • Developed AI/NLP models and chatbots with RASA, Chatter, and Dialogflow
  • Built and managed a TypeDB knowledge database
  • Worked with OpenStack, Kubernetes, and Podman
Verified expert

Jack Schmidt

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Freelance - Fullstack Engineer

Zug
Jack Schmidt

Last position:

Freelance - Fullstack Engineer at SMG Swiss Marketplace Group

  • Supported the team in merging two real estate platforms into a unified Vue.js-based solution
  • Developed a custom SSR microservice architecture deployed on AWS Lambdas
  • Designed and implemented a map drawing feature
  • Took ownership of migrating the microservice from Vue 2 to Vue 3
  • Built a scalable SSR microservice architecture using AWS Lambda
  • Developed and implemented a critical map drawing feature for real estate visualization
  • Successfully migrated the microservice from Vue 2 to Vue 3
  • Gained deep knowledge of AWS infrastructure, Datadog, Sentry, and Vite
  • Technologies: Vue.js, Node.js, Vite, AWS Lambda, Datadog, Sentry, JavaScript
Verified expert

Gergely Glász

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Blazor Founder, Certified Points of You® Business Trainer, Full Stack ASP.NET Core Developer Employee Training

Zollikofen
Gergely Glász

Last position:

Blazor Founder, Certified Points of You® Business Trainer, Full Stack ASP.NET Core Developer Employee Training at Resonance Solutions GmbH

Verified expert

Mateusz Lipczyński

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Project Lead Developer

Opfikon
Mateusz Lipczyński

Last position:

Project Lead Developer at PwC

  • Took over the analyst and leading developer role in an innovative project helping detection of financial fraud in a major financial institution in Zurich with assistance of artificial intelligence
  • Analyzed and implemented new modules, improved performance and user experience, elevated technical documentation and code quality to the standard required by the end client
  • Technologies: Java 17, JavaFX, Spring Boot, concurrency, UX, Gradle, Impala
Verified expert

Christoph Janik

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Project management, Software engineering, Software architect, DevOps

Zürich
Christoph Janik

Last position:

Project management, Software engineering, Software architect, DevOps at Migros Genossenschafts Bund

  • Greenfield project M-Zollmanager: Development of an internal platform to support users in booking requirement areas on line items in assessment notices.
  • Greenfield project M-Deliveryplan: Development of an internal platform for planning and tracking deliveries in the international transport sector.
  • Created functions to predict the estimated arrival time of container ships and goods from the port of loading to the port of destination, considering potential events.
  • Developed the TrackAndTrace add-on for M-Deliveryplan to track and plan goods and containers.
  • Built a generic AI chatbot for Migros app infrastructure, including ChatGPT integration and creating AI workflows with N8N.
  • Developed AI assistants to automate repetitive tasks, such as creating release notes or processing Jira tasks based on N8N workflows.
  • Further development and maintenance of the M-LFS, M-Vehicleaccess and M-Worklog apps.
  • Used C#, Angular 18, DevOps practices, N8N, Kubernetes, Docker, Jira, Confluence and Azure.
  • Ongoing project with continuous development of platforms and workflows.
Verified expert

Lluis Nieto Soler

View profile

Senior Angular Developer

Bern
Lluis Nieto Soler

Last position:

Federal Office for IT

  • Developed an event tool for the Federal Department of Foreign Affairs ([link]

Discover over 15,000 top freelancers

Statistics of experts using MongoDB

Aggregated from the professional profiles of matched freelancers.

Experience

21 years

Position duration

1.7 years

Positions per freelancer

14

Top business areas

Information Technology, Product Development, Quality Assurance

Top industries

Information Technology, Banking and Finance, Professional Services

Certification focus areas

Information Technology, Product Development, Research and Development

Bachelor's degree or higher

100%

Master's degree or higher

56%

Certifications per freelancer

2

Most common languages

English, German, Spanish

Speak two or more languages

100%

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 2 4 6 8
<€640 €640-​800 €800-​960 €960-​1120 €1120-​1280 €1280+

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

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

1000
750
500
250
Rate comparison chart
Daily rate avg. 947 €

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

1000
750
500
250
Rate comparison chart
Median rate 960 €

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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

About the technology

Document data MongoDB is a document database built for data that does not fit a fixed table shape. Teams use it for product catalogs, user profiles, content systems, event data, and fast-changing application data. It is a common choice when JSON-like documents need to be stored, queried, and updated without heavy schema work.

Where it fits It often appears in web apps, mobile backends, internal tools, and APIs that must evolve quickly. In Switzerland, it is a practical fit for fintech, SaaS, e-commerce, media, and industrial software where data structures change often and teams want a clear path from prototype to production.

What experts deliver

  • Data models built around documents, references, and embedded structures
  • Aggregation pipelines for reporting, filtering, and transformation
  • Indexing, query tuning, and schema design for stable performance
  • Replica sets, sharding, backup, and recovery setup
  • MongoDB Atlas or self-managed operations and migration work

Ecosystem and tooling Strong specialists know the wider MongoDB stack, not just CRUD calls. They work with MongoDB Compass, Atlas, drivers for common backends, change streams, text and geospatial queries, and validation rules. They also understand when to pair MongoDB with cache layers, search tools, or relational systems.

When to bring in help Bring in freelance expertise when a schema is getting messy, queries are slow, or a migration needs to be safe. The same is true when an app needs sharding, better indexing, multi-tenant design, or a move from another database such as PostgreSQL, MySQL, or older MongoDB versions. Remote work is common, but on-site sessions in Switzerland can help with architecture reviews and handovers.

What strong specialists look for They ask how data is read, written, and updated in real traffic, then design around that. They also watch for document size, index sprawl, weak backup plans, and overuse of embedded data. The best experts explain trade-offs clearly and keep the model simple enough for the team to maintain.

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Frequently asked questions

Need clarity? These are the questions we hear most often about MongoDB.

MongoDB is used when an application needs flexible documents instead of rigid rows and columns. It fits content platforms, catalogues, user data, event capture, and APIs that change often. Teams choose it when they want fast iteration without waiting on constant schema redesign.

MongoDB is usually better when documents are the natural shape of the data and the schema changes often. PostgreSQL and MySQL are often stronger when joins, strict relational integrity, and reporting across many tables are central. A good specialist will tell you when MongoDB is the right fit and when a relational database is safer.

MongoDB is the database product name that most people mean when they say Mongo. MongoDB Atlas is the managed cloud service for running it, while Mongo is just a common shorthand in conversation and search. A freelancer should understand both self-managed setups and Atlas.

A strong MongoDB specialist should also understand data modelling, indexing, backup and recovery, and performance tuning. Many projects also need JavaScript, Node.js, Python, Java, or Go, plus cloud basics and API design. If your project includes search or analytics, experience with those integrations helps too.

MongoDB projects can start simple, but production systems need more than basic query knowledge. For anything with migration, sharding, high traffic, or strict uptime needs, you want someone who has handled design, tuning, and recovery before. For a small internal tool, lighter support may be enough.

Bring in MongoDB help when performance drops, a schema needs redesign, or a migration has risk. It is also useful when teams need a short burst of expert support for Atlas setup, backup strategy, or query review. Freelancers are a good fit when you need focused work without long hiring cycles.

Yes, MongoDB work is often done remotely because most tasks can be handled through access to the database, logs, and staging systems. In Switzerland, on-site sessions can still be useful for architecture workshops, stakeholder alignment, or sensitive handovers. Many teams use a mix of remote delivery and a few focused in-person meetings.

Look for clear answers about document modelling, indexes, and query patterns, not just database administration buzzwords. A good MongoDB expert can explain why a design choice helps performance, safety, or team maintenance. Ask for examples of migrations, production incidents, or scaling decisions they have handled.

The average hourly rate of freelancers in Switzerland who have used MongoDB in their recent projects is 118 €, which corresponds to a daily rate of about 947 € based on an 8-hour working day.

Of the freelancers in Switzerland who have used MongoDB in their recent projects, 100% hold at least a Bachelor's degree and 56% hold at least a Master's degree.

On average, freelancers in Switzerland who have used MongoDB in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 1.7 years.

The most common languages among freelancers in Switzerland who have used MongoDB in their recent projects are English (100%), German (92%), and Spanish (38%).

The most common industries among freelancers in Switzerland who have used MongoDB in their recent projects are Information Technology (100%), Banking and Finance (69%), and Professional Services (62%).

The most common business areas among freelancers in Switzerland who have used MongoDB in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (54%).

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.

Zurich Geneva Basel Bern

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