MongoDB Experts in Zurich
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Meet FRATCH Experts in Zurich, who have recently used MongoDB
Christoph Pardon
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time-to-market by 50% through CI/CD pipeline optimization and the introduction of self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
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)
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.
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.
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
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
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
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.
Discover over 15,000 top freelancers
Statistics of experts using MongoDB
Aggregated from the professional profiles of matched freelancers.
Experience
24 years
Position duration
1.9 years
Positions per freelancer
16
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Research and Development, Audit
Bachelor's degree or higher
100%
Master's degree or higher
67%
Certifications per freelancer
1
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
The chart shows how the daily rates of freelancers in this technology in Zurich 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 Zurich 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Document data model
MongoDB stores data as documents, not rows. That makes it a fit for product catalogs, user profiles, content systems, event data, and services that change often. Teams use it when nested data and flexible fields are easier than rigid tables.
Common use cases
- APIs with fast-changing schemas
- Search-friendly content and catalog data
- Event and activity records
- Mobile and web backends
- Analytics or operational data stores
For Zurich teams, it often appears in finance, insurance, SaaS, and trading-adjacent products where structured documents and quick iteration matter.
Ecosystem and tooling
MongoDB work often includes MongoDB Atlas, aggregation pipelines, indexes, replication, sharding, backups, and monitoring. Strong professionals also know the shell, drivers for the main application stacks, and how BSON affects query design and payload shape.
When to bring in help
Companies usually bring in freelance expertise when performance drops, queries become hard to maintain, or a schema needs to evolve without downtime. It also helps during migrations from relational systems, production hardening, or when a Zurich team needs focused help for a remote delivery stream.
What strong specialists do
A good specialist knows how to model documents around access patterns, not habits. They check index use, write safe aggregation logic, plan growth, and keep replica sets healthy. They also spot when MongoDB fits well and when a different data store is the better choice.
Working style and delivery
Clear MongoDB work ends with practical deliverables: schema guidance, index plans, query reviews, migration steps, and operations notes. The best professionals document tradeoffs, work cleanly with application teams, and can support both on-site workshops in Zurich and remote collaboration in English.
Frequently asked questions
Everything clients usually want to know about MongoDB, in one place.
MongoDB is used for document-centric applications where data changes often or contains nested structures. It is common for APIs, content systems, product catalogs, event logs, and backends that need flexible modeling without constant schema rewrites.
MongoDB is usually chosen when documents and changing fields matter more than strict relational structure. PostgreSQL or MySQL can be better when joins, strong relational constraints, or very structured reporting are central to the design.
A strong MongoDB specialist should handle document modeling, indexes, aggregation pipelines, replication, and backup design. They should also review slow queries, spot schema problems early, and make the data model fit the application’s access patterns.
The best MongoDB professionals usually work comfortably with the application stack around it, such as Node.js, Python, Java, or .NET. They should also understand API design, data migration planning, observability, and how to shape BSON documents for efficient reads and writes.
A simple MongoDB setup may only need focused help for schema and index decisions. Production systems usually need deeper expertise for performance, sharding, backups, failover behavior, and migration planning, especially when the data volume or write load is growing.
Yes, MongoDB work is often well suited to remote delivery because most tasks are design, review, and troubleshooting focused. For Zurich-based teams, on-site sessions can still help during architecture workshops, migration planning, or when app and data teams need to align quickly.
Look for MongoDB work that shows clear reasoning, not just feature delivery. Good signs are clean schema choices, purposeful indexes, careful use of aggregation, stable deployment habits, and documentation that explains why the chosen design fits the workload.
MongoDB is the database product, while Mongo is the common shorthand many people use in conversation. MongoDB Atlas is the managed cloud service around it, so a freelancer should know both self-managed setups and Atlas when cloud operations are part of the scope.
The average hourly rate of freelancers in Zurich, Switzerland who have used MongoDB in their recent projects is 128 €, which corresponds to a daily rate of about 1,026 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used MongoDB in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Zurich, Switzerland who have used MongoDB in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Zurich, Switzerland who have used MongoDB in their recent projects are English (100%), German (88%), and Spanish (38%).
The most common industries among freelancers in Zurich, Switzerland who have used MongoDB in their recent projects are Information Technology (100%), Banking and Finance (88%), and Professional Services (75%).
The most common business areas among freelancers in Zurich, Switzerland who have used MongoDB in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (63%).
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:
Zurich 
Geneva Basel Bern Request a free demo
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