Big Data Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Big Data
Philipp Grunert
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Ines Lukin
Last position:
UX designer for AI products at freelance
- Designing AI-first workflows that integrate AI into existing product experiences
- Developing UX concepts for prompt management, reusable and combined prompt workflows, tagging, search and information organisation
- Creating user flows, wireframes, prototypes and high-fidelity interfaces in Figma
- Defining reusable UI patterns, components and interaction logic for scalable products
- Exploring human-AI interaction patterns with emphasis on user control, transparency and manageable cognitive load
- Translating product requirements and technical constraints into developer-ready UX/UI specifications
Christiane Neher
Last position:
Management Consultant at Christiane Neher Management Consulting
Large Insurance Company – Consultant Wiesbaden: Consulting support for the introduction of an integrated planning and performance management framework (operational, financial, customer) to enhance customer-centric transparency, decision-making quality, and steering capabilities across all lines of business within an insurance organization:
- Analysis of existing processes, reports, KPIs, and KPI calculation methodologies
- Design and introduction of new, standardized customer KPIs (gross/net), as well as key steering metrics with consistent linkage across all lines of business
- Recalculation, validation, and plausibility checks of KPIs based on existing and newly integrated data sources
- Conceptual support for the development of an integrated reporting and performance management setup
- Execution of customer insights analyses to identify patterns and anomalies within customer data clusters
Large retail company – Consultant in Karlsruhe: Advisory services for the setup and step-by-step implementation of an internationally deployable RELEX solution in the supply chain management environment:
- Advising overall and sub-project management on methodology, project setup and steering (e.g. agile approach, Jira configuration, RELEX phases, Jira Structure PPM)
- Strategic-operational consulting for the introduction of RELEX including best practices
- Support in defining overarching goals and requirements (2-year target picture)
- Guidance in scoping a relevant supply chain network segment for the project
- Development of a roadmap for iterative, incremental RELEX setup and rollout
- Assessment of project dependencies (interfaces, configurations, etc.)
- Advice on prioritized implementation of business requirements and data interfaces
- Support in test planning (data validation, system testing, UAT)
- Consulting on internationalization, change management, training, and knowledge transfer
- Stakeholder advisory and alignment activities between the client, implementation partner, and RELEX
Insurance company – Management Consultant in Munich: Analysis, consulting and support for the optimization of a large-scale business and IT transformation. Focus on strategically important programs and modernization projects in the area of Managed Services Operations and processes:
- Review of project plans and deliverables; analysis of programs and projects (e.g. cloud approach, process standardization, system integration, roadmaps)
- Identification of technical, functional and personnel risks and challenges; development of content-related measures and alternative solutions
- Proposal of quality improvements for program and modernization efforts
- Sparring partner and professional, technical, structural and organizational consulting for project and program management
Large retail group – Management Consultant & Stream Lead in Cologne: Consulting, process, project and product management for the introduction and implementation of a large strategic program in the field of advanced analytics, assortment and space management:
- Setup, test and rollout of a new space planning, automation and optimization product based on the existing cluster-based merchandising approach
- Definition and setup of new processes and transformation and change management measures for the new store-specific merchandising approach
- Collaboration with Advanced Analytics and IT (internal and external) for software implementations, automations, extensions and interfaces
- MVP approach and piloting in phases with gradual rollout (pilot with 80 stores, region with 500 stores, national level with 4000 stores)
Large retail company – Agile Coach & Change Agent in Cologne: Agile coach, OKR master and facilitator for the introduction of the OKR approach in a large strategic digitization program for retail stores:
- Coaching of the core team with topic managers and team leads
- Introduction to the OKR topic and setup of the OKR cycle
- Establishment of the OKR approach in teams and on a cross-team level
Delivery and logistics company – Management Consultant in United Kingdom: Consulting and coaching in the restructuring of the Data Analytics department:
- Analysis of current challenges
- Definition of overarching goals
- Development of a proposal for a new team structure
- Identification of required competencies, skills and responsibilities
- Advisory and alignment on communication and change management strategy
Damian Åšniatecki
Last position:
CTO at FRATCH.IO
- Managed end-to-end product development, overseeing the successful delivery of technical solutions.
- Led and mentored a team of highly specialised technical professionals, fostering a culture of collaboration and innovation.
- Oversaw the hiring process to build a talented and dedicated team.
- Built a scalable and robust backend microservices system from scratch, designing and extending it to meet evolving business needs.
- Ensured the system's high availability with a 99.99% up time, implementing resilient architecture and monitoring mechanisms.
- Developed and implemented technical strategies, aligning them with business goals and objectives.
Valery Khamenya
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development of high-performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Serge Kalinin
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Manikanta Rangaswamy
Last position:
Data Engineer at Insurance client
- Design, development, and maintenance of end-to-end ETL pipelines for scalable and reliable data integration
- Support in data quality checks, testing, and migrations
- Development and maintenance of dbt models for structured, modular, and reusable data transformations
- Use of AI-driven development to improve ETL job creation and code quality.
- Development of CI/CD for automated deployment.
Ernst Höfler
Last position:
Support/Development/Consulting – Process Development, E-Invoicing, XRechnung, ZUGFeRD
- Support and further development of a complex process for creating XML documents for electronic invoices / E-Invoicing (XRechnung, ZUGFeRD)
- Automation of operational processes, process development and optimization
- Development of frontend applications with MS Power Apps
- Porting SQL Server 2016 to SQL Server 2022
- SQL Server database administration
Marc Esser
Last position:
Scrum Master for Agile Transformation and Team Development - DevOps & Cloud Adoption at IT Business Unit of Leading European OEM
- Guided a large-scale agile transformation, improving team agility, DevOps adoption, and cloud readiness.
- Supported DevOps & CI/CD practices to optimize cloud deployment strategies and reduce time-to-market.
- Led agile coaching initiatives to enhance cross-functional collaboration between IT and business teams.
- designed agile governance structures to align executive leadership with cloud and digital transformation goals.
- Technologies & Frameworks: Agile (Scrum, SAFe), DevOps, Cloud Adoption, IT Governance, CI/CD, Change Management
Boris Azar
Last position:
Owner and Manager at UBITEQ.io
- Management of digital business
- Design, build and run solutions based on ubiquitous technologies
Christian Schulz
Last position:
Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG
- Concept creation and implementing AI Agents in AWS Cloud
- Continuously alignment with stakeholders
- Collaborate with DevOps
- Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
Francesco Di Cugno
Last position:
Lecturer of Telematics Engineering at Polytechnic of Bari
Matthias Lang
Last position:
Typescript Fullstack Engineer at Card Complete / Bank Austria
- Designed and developed the "Credit Risk Engine" using Camunda, Node.js and Typescript
- Greenfield project for credit card credit assessment for existing and new customers, including EBA KPIs, SCHUFA and CRIF scorings
- Built and modeled workflows (BPMN) and decision logic (DMN) with Camunda Modeler in close collaboration with stakeholders
- Implemented service tasks, user tasks and jobs with Nest.js, Node.js and Typescript, including exception handling
- Backend-for-Frontend (BFF), frontend with React, Tailwind and Ant Design UI library
- CI/CD with GitLab, Kubernetes/Rancher
Arnab Chatterjee
Last position:
Consulting Partner at RibbitNova/RibbitPay
- As part of the leadership team of the crypto startup Ribbit, I am responsible for fundraising, business development, and supporting product development for Ribbit Pay
- Ribbit is developing one of the first automated, programmable, and privacy-preserving networks for recurring payments in Web3.0
Alyosh Agarwal
Last position:
Business Intelligence Consultant at Large Private Equity Group
- Business intelligence and KPI specification and playbook for 35 European companies.
Discover over 15,000 top freelancers
Statistics of experts using Big Data
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 19 years)
Position duration
2.6 years (Germany: 3 years)
Positions per freelancer
12
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
94% (Germany: 91%)
Master's degree or higher
72% (Germany: 64%)
Doctorate
19% (Germany: 17%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
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 Munich 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 Munich using Big Data
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
Data at scale
Big Data is used to collect, move, store, and analyze large, fast, or varied data sets. Companies bring in specialists when classic tools are no longer enough for logs, events, transactions, sensor feeds, or customer data. The work often ends in pipelines, data lakes, dashboards, and machine learning inputs.
Common stack
A strong project usually combines several tools, not just one product.
- Hadoop for distributed storage and processing
- Spark for large-scale transformation and analytics
- Kafka for event streaming and ingestion
- Hive, Trino, or Presto for SQL access
- Airflow for orchestration and scheduling
What experts deliver
Big Data specialists build ingestion flows, clean and enrich data, and keep transformations repeatable. They also handle schema design, quality checks, lineage, and access patterns for teams that need trusted data. In Munich, this often supports manufacturing, mobility, finance, and media workloads.
When to bring in help
Freelance expertise helps when a platform is being modernized, data volumes are growing, or pipelines are fragile. It also helps when a team needs extra hands for migration from Hadoop to cloud services, a new lakehouse setup, or a performance review before release. Clear ownership matters from source to report.
What good work looks like
Strong professionals with Big Data know where data comes from, how it changes, and who uses it. They write maintainable SQL and code, document pipeline behavior, and spot bottlenecks early. They should also understand batch and streaming trade-offs, storage formats, and security basics.
Working model
Big Data work can be remote, but local collaboration helps when access, data policy, or stakeholder workshops are involved. Many teams in Munich prefer a mix: remote delivery for pipelines and analysis, on-site sessions for architecture, handover, or sensitive systems. Good specialists adapt to both.
Frequently asked questions
Curious about Big Data? Here are the answers that come up again and again.
Big Data is used to turn large, fast, or complex data sets into usable pipelines, reports, and models. Common outcomes include ingestion flows, data lakes, event processing, and analytics layers that support business decisions. It is a fit when standard databases no longer handle the workload well.
Big Data is the broader problem space, while Hadoop and Spark are common parts of the solution. Hadoop is often associated with distributed storage and batch processing, and Spark is widely used for fast transformations and analytics. A freelancer should know when each tool fits and when a cloud-native option is better.
A strong Big Data specialist usually also knows SQL, Python or Scala, and data modeling. Practical experience with Kafka, Airflow, and cloud storage is often important too. For production work, testing, monitoring, and access control matter just as much as raw processing skills.
You do not need a huge program before hiring Big Data help. Freelancers are useful for pipeline design, migration support, performance tuning, or fixing data quality issues early. The key is to have a clear source, target, and business goal.
Yes, much of Big Data work can be done remotely, especially pipeline development, troubleshooting, and documentation. For teams in Munich, on-site sessions are often useful for access setup, architecture reviews, and stakeholder workshops. A good specialist should be comfortable with both modes.
Look for clear thinking about data flow, not just tool names. A strong Big Data expert can explain source systems, transformation logic, failure handling, and how data quality is checked. Good answers are specific, structured, and tied to real delivery work.
Big Data covers both. It includes the engineering work of moving and transforming data, and the analytics layer that makes the data useful for teams. In many projects, the best specialists can talk about architecture, operations, and reporting with equal clarity.
Before hiring a Big Data freelancer, define the data sources, target outputs, and the main pain points. Share the current stack, security constraints, and any known bottlenecks or failed jobs. That gives the specialist enough context to assess the work quickly.
The average hourly rate of freelancers in Munich, Germany who have used Big Data in their recent projects is 106 €, which corresponds to a daily rate of about 845 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Big Data in their recent projects, 94% hold at least a Bachelor's degree, 72% hold at least a Master's degree, and 19% hold a doctorate.
On average, freelancers in Munich, Germany who have used Big Data in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Munich, Germany who have used Big Data in their recent projects are German (97%), English (97%), and Spanish (20%).
The most common industries among freelancers in Munich, Germany who have used Big Data in their recent projects are Information Technology (86%), Professional Services (69%), and Banking and Finance (51%).
The most common business areas among freelancers in Munich, Germany who have used Big Data in their recent projects are Information Technology (94%), Business Intelligence (80%), and Product Development (80%).
Main locations of FRATCH Experts, who have recently used Big Data
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.
Berlin 
Hamburg 
Cologne 
Frankfurt 
Stuttgart Request a free demo
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Philipp Thomaschewski
FRATCH CEO
