Databricks Experts in Nuremberg
matched in minutes by AIHire experts who design Lakehouse architectures, build Apache Spark pipelines and develop reliable machine learning workflows on Databricks. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Nuremberg, who have recently used Databricks
Jan M.
Last position:
Managing Director at Nexcent GmbH
- IT consulting
- Power Platform & Databricks
- AI software development (custom software)
- Commercial responsibility for the company
Elnazossadat H.
Last position:
Data Analyst at Siemens Healthineers
- Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
- Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
- Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
- Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
- Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
- Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
- Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
- Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.
Pawan S.
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
Guino N.
Last position:
Senior Data Engineer at Infomotion
- Building a Data Analytics platform for Karl Storz
- Generic development of all ETL processes
- Preparing and providing data in Databricks Delta tables for reuse in Databricks Machine Learning
- Technologies & Tools: Azure Data Factory, CI/CD Pipeline with GitHub DevOps, Python, Azure Databricks (Unity Catalog), T-SQL
Aqsa Y.
Last position:
Multilingual Translation Tool - NLP Project
- Integrated MarianMT (Marian Machine Translation) models to ensure high-quality neural machine translation (NMT).
- Managed model loading and tokenization via Hugging Face Transformers, optimizing for offline caching and reproducibility.
- Planned extensions: language auto-detection, batch translations, and streamlined GPU inference with PyTorch.
Ralph N.
Last position:
AI Lead Engineer Car Configurator for leading German premium manufacturer at e-ntegration GmbH
- Intent-driven approach to configure all models across all series automotive in all distribution markets of this car manufacturer
- Developed a customer-facing, conversation-driven integration layer to achieve 100% hallucination-free technical configurations
- Utilized Microsoft Azure AI Services: AI Foundry, Agent Service, AI Search; Prompt Shield Services; Content Security; Terraform; API Gateway; AI Gateway; Container Services; Azure Agent SDK; Agent Skills; RAG; MCP Servers and tools
Ekaansh K.
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Discover over 15,000 top freelancers
Statistics of experts using Databricks
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 15 years)
Position duration
2.1 years (Germany: 2.9 years)
Positions per freelancer
12 (Germany: 10)
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Healthcare, Banking and Finance
Certification focus areas
Business Intelligence, Information Technology, Product Development
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
86% (Germany: 69%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Nuremberg are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Nuremberg using Databricks
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Databricks 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%)
- Healthcare (71%)
- Banking and Finance (57%)
- Retail (57%)
- Education (43%)
- Manufacturing (43%)
- Pharmaceutical (43%)
- Automotive (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Lakehouse platform
Databricks is a cloud data and AI platform built around the Lakehouse concept. It combines data lake flexibility with the governance, reliability and query performance expected from a data warehouse. Companies use it to bring batch data, streaming data, analytics and machine learning into one managed environment.
Data workloads
Databricks supports the complete path from raw data to business-ready insight. Specialists create ingestion flows, transform data with Apache Spark and SQL, and publish curated tables through Delta Lake. Common deliverables include customer analytics, financial reporting, recommendation systems, operational dashboards and feature stores.
Ecosystem and tooling
The platform connects with major cloud services and enterprise data tools. Strong professionals work with Delta Lake, Unity Catalog, Apache Spark, MLflow, notebooks, workflows and SQL warehouses. They may also integrate Kafka, dbt, Power BI, Tableau, Python, Scala, Terraform and cloud storage, depending on the existing architecture.
When to bring expertise
Freelance expertise is useful when a data initiative must move from experimentation to dependable production use.
- Replace fragmented lake and warehouse workflows
- Migrate Spark or SQL workloads into a governed Lakehouse
- Improve pipeline reliability, cost control and job operations
- Prepare data foundations for machine learning and generative AI
Delivery in Nuremberg
Companies in Nuremberg can use Databricks for manufacturing data, logistics planning, retail analytics, energy operations and financial reporting. A specialist can collaborate remotely or work with local teams on site, with clear expectations for German or English communication, access management and stakeholder workshops.
Quality signals
A capable professional explains why a Lakehouse design fits the use case instead of treating Databricks as a universal answer. Look for practical experience with data modeling, Delta Lake transactions, Spark performance, Unity Catalog permissions, deployment automation and monitoring. Good delivery includes documentation, tests, lineage and a handover that internal teams can operate.
Frequently asked questions
Need clarity? These are the questions we hear most often about Databricks.
Databricks is used to ingest, process, govern and analyze large volumes of structured and unstructured data. It also supports machine learning, streaming workloads, business intelligence and generative AI preparation within a shared Lakehouse environment.
Databricks combines data lake storage with warehouse-style SQL analytics, rather than separating those workloads by default. It is often weighed against Snowflake, BigQuery or a cloud-native warehouse; the right choice depends on data formats, Spark usage, governance needs, team skills and operating preferences.
A strong Databricks specialist often brings Python, SQL, Apache Spark and cloud storage expertise. Knowledge of Delta Lake, Unity Catalog, MLflow, Terraform, orchestration, streaming systems and visualization tools can be important for a complete delivery.
The required experience depends on the scope, data sensitivity and production expectations. A contained analytics workflow may need a specialist who can configure and document the solution, while a complex migration or machine learning platform calls for deeper architecture, security, performance and operations experience.
Databricks projects are often suitable for remote collaboration because notebooks, repositories, cloud workspaces and deployment pipelines are accessible to distributed teams. On-site sessions in Nuremberg can still help with discovery, data ownership, security reviews and workshops, especially when German-language communication is needed.
Databricks supports data preparation, feature engineering, experiment tracking, model training and deployment workflows. MLflow helps teams record experiments and manage models, while governed data access and reusable pipelines make it easier to move from a notebook prototype to an operational service.
Ask a Databricks freelancer to explain a comparable architecture, including ingestion, storage, permissions, orchestration, monitoring and recovery. Review how they test transformations, control cloud usage, document decisions and transfer ownership rather than judging quality from notebooks alone.
A reliable Databricks implementation has clear data contracts, idempotent pipelines, tested transformations and controlled access through Unity Catalog. It also needs observability, alerting, lineage, deployment automation and a recovery plan for failed jobs or changing source data.
The average hourly rate of freelancers in Nuremberg, Germany who have used Databricks in their recent projects is 94 €, which corresponds to a daily rate of about 751 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Databricks in their recent projects, 100% hold at least a Bachelor's degree and 86% hold at least a Master's degree.
On average, freelancers in Nuremberg, Germany who have used Databricks in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Nuremberg, Germany who have used Databricks in their recent projects are German (100%), English (100%), and French (14%).
The most common industries among freelancers in Nuremberg, Germany who have used Databricks in their recent projects are Information Technology (100%), Healthcare (71%), and Banking and Finance (57%).
The most common business areas among freelancers in Nuremberg, Germany who have used Databricks in their recent projects are Information Technology (100%), Business Intelligence (86%), and Product Development (86%).
Main locations of FRATCH Experts, who have recently used Databricks
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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Frankfurt 
Dusseldorf Request a free demo
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