Dataiku Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Dataiku
Michael Nelz
Last position:
Senior ML Engineer, AI Engineer at Lanxess AG
- Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
- Building robust monitoring with mlflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
- Further development of an Agentic AI chatbot for transparent and easy-to-understand model explanations.
Paul Oesterwitz
Last position:
Product Owner / Project Manager at Auditor, software vendor for German tax consultancies
- Project environment: Python, Java, Azure AI Studio & OpenAI Studio, embedding models, LLM as a judge
- Project language: German
- Project role(s): Project manager
- Project management for improving the performance of a chatbot
- Research and evaluation of approaches to improve and measure response accuracy and improve the chatbot's understanding of context
- Coordination of architecture decisions with the technical team and architects
- Coordination and transfer of research results into development tasks
Ece Berrak
Last position:
Immigration & Career Consultant at Berrak & Co.
- Providing consulting services for Turkish clients planning to move to Germany (work, study, and family reunification visas).
- Preparing personalized immigration strategies, document checklists, and digital handbooks.
- Supporting clients with CV and motivation letter preparation in line with German standards.
- Managing email marketing automation, newsletter workflows, and audience segmentation to increase client engagement.
- Designing and maintaining CRM integrations between Wix, HubSpot, and Zapier for automated client onboarding and follow-up.
- Handling sales operations, including deal and support pipelines, workflow automation, and client relationship tracking within HubSpot.
- Managing invoicing and budget tracking via Lexoffice, ensuring accurate reporting and financial transparency.
- Developing and optimizing digital funnels, landing pages, and online courses for lead generation and conversion.
- Overseeing content creation and performance marketing campaigns on Instagram, YouTube, and Google Ads.
Nikhil Gyamlani
Last position:
Co-founder / Solution Architect at Lima Care GmbH
- Developed a comprehensive business concept for a medical fall detection device based on a patented process registered in Germany
- Identified and collected use cases for medical device deployment in residential buildings and healthcare provider facilities
- Expanded the product scope to industry standards such as HL7/FHIR and designed a product based on modern communication protocols for IIoT
- Supported offshoring activities, defined SLA and scope-of-work documents for development teams after selecting various vendors
- Identified and selected hardware components (Terrabee, E-Con Systems) for LIDAR/TDOA functions
- Defined integrated AI features and LLM models for patient fall detection as well as AI-based audio triggers
- Oversaw the implementation of algorithms for object detection, fall detection, and false alarm identification
Maziyar Khorrami
Last position:
Data Engineer at MSD Germany
- Lead Architect to design and implement the data lake and ETL Pipeline using AWS Stack
- Performance Optimization of Data Ingestion of ETL Pipeline
- Development of Data Validation using Great Expectations
- Leading of the data migration for two sources exchanges
- Data Modeling in AWS Redshift
MLOps
- Model inference implementation by mlflow and AWS SageMaker
- Feature Engineering for the running ML Models ( Recommender Engineer, Clustering )
- Implementatino of Model Registry and artifactory using mlflow
- Historization an Profiling of the Input Data Using AWS Glue Crawler and AWS Data Catalog
- Feature importance using mlflow
Tech. Stack: Python 3, AWS Glue, AWS Step Fucntion, AWS Lambda, AWS EventBridge, AWS IAM Role, AWS SageMaker, AWS EC2, AWS Glue Crawler, AWS CloudWatch, MLFlow, ETL, Data lake, GitHub Action, Terraform, Jenkins, Ansible playbooks (Infrastructure as Code), CI/CD, GitLab, SQL, PySparkSCRUM, Agile, Jira, BigData, VSCode, DBeaver, MSSQL, MySQL, grafana, Docker, Linux, Bash, MapReduce, Data Modeling (ORM), Pandas, YAML, SQL-Alchemy
Pawan Saxena
Last position:
CAPTCHA Recognition using CRNN
- Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
- Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
- Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
- Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
- Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
Robert Titze
Last position:
Founder and Managing Director at Gscheiter GmbH
Azada Henze
Last position:
AI Consultant at Freelance
- Built scalable end-to-end machine learning pipelines for a major telco company, covering feature engineering, model development, deployment, and a Streamlit visualization app.
- Initiated and embedded data science within the Customer Experience team, collaborating daily with stakeholders to deliver end-to-end solutions; under my ongoing support, customer satisfaction score, NPS, remained stable at a record >30pt.
- Advised a client on GenAI tools, AI development strategies, and Responsible AI practices, shaping internal adoption and governance approaches.
Discover over 15,000 top freelancers
Statistics of experts using Dataiku
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
1.5 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
88%
Doctorate
13%
Certifications per freelancer
4
Most common languages
German, English, French
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 Germany 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 Germany using Dataiku
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
What Dataiku is
Dataiku is an analytics and AI platform used to prepare data, build models, and deliver repeatable data workflows. Teams use it to move from raw data to usable outputs without stitching together every step by hand. You will also hear it called Dataiku DSS, especially in older projects and documentation.
Typical work
- Data preparation and cleansing for business data
- Visual pipelines for repeatable analysis
- Machine learning projects and model comparison
- Operational scoring and deployment support
- Shared work between technical and business specialists
Ecosystem and tools
Strong specialists know the visual flow editor, notebooks, automation, and project governance inside Dataiku. They also work comfortably with Python, SQL, APIs, cloud data stores, and versioned project work. The best people keep the process understandable for both analysts and technical teams.
When to bring in help
Companies often need freelance support when a Dataiku project must be cleaned up, extended, or handed over quickly. This is common when internal teams need help with messy source data, production scoring, or a dashboard pipeline that has grown too complex. In Germany, this often matters for teams that need local collaboration but can still work well with remote specialists.
What strong specialists deliver
A good Dataiku specialist does more than click through a tool. They define clear data logic, keep datasets traceable, document assumptions, and make workflows stable for later reuse. They also know when to use visual steps and when code is the better choice.
Skills that matter
- Data modeling and transformation
- Python and SQL for deeper control
- MLOps-minded deployment habits
- Data governance and access handling
- Clear communication with business users
Frequently asked questions
Not sure where to start with Dataiku? These answers cover the essentials.
Dataiku is used to prepare data, build analytics workflows, and support machine learning projects in one shared environment. Companies use it when they want repeatable data work that can move from exploration to delivery without rebuilding everything in separate tools.
Dataiku is the current product name, while Dataiku DSS is the older name many people still use. In searches and project discussions, DSS usually refers to the same platform, so it helps to know both terms when reviewing profiles or documentation.
Dataiku sits between visual workflow building and coding. Compared with a pure notebook stack, it gives more structure, reuse, and governance; compared with code-only work, it is often easier for mixed teams to follow and maintain.
A strong Dataiku specialist usually knows Python, SQL, and data modeling. Depending on the project, experience with APIs, cloud data stores, version control, and model deployment also matters because the platform often connects to wider data systems.
A small Dataiku workflow can be handled by a specialist who knows the platform well and understands the data source. Bigger or production-facing work needs someone who can design reusable pipelines, manage permissions, and keep outputs stable over time.
Dataiku work is often well suited to remote delivery because much of the work happens in shared projects and documented workflows. On-site time in Germany can still help at the start of a project, especially when teams need alignment on data sources, access, or review sessions.
A strong Dataiku freelancer can explain how a workflow is built, why each step exists, and how the result will be maintained. Look for clear project structure, solid handling of data quality, and examples of work that moved beyond a demo into a durable setup.
Dataiku is common in companies that work with large, changing datasets and need shared analytics or machine learning workflows. It is often relevant for teams in manufacturing, finance, retail, and operations where business users and technical specialists need to collaborate closely.
The average hourly rate of freelancers in Germany who have used Dataiku in their recent projects is 116 €, which corresponds to a daily rate of about 927 € based on an 8-hour working day.
Of the freelancers in Germany who have used Dataiku in their recent projects, 100% hold at least a Bachelor's degree, 88% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Germany who have used Dataiku in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Germany who have used Dataiku in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Germany who have used Dataiku in their recent projects are Information Technology (88%), Banking and Finance (63%), and Healthcare (63%).
The most common business areas among freelancers in Germany who have used Dataiku in their recent projects are Information Technology (100%), Product Development (88%), and Business Intelligence (75%).
Main locations of FRATCH Experts, who have recently used Dataiku
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 Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
