Databricks Experts in Nuremberg
matched in minutes from over 15,000 CVsHire experts who design lakehouse architectures, develop Apache Spark pipelines and deliver machine learning workflows on Databricks. Get precise access to vetted, available freelancers who fit your project and can collaborate remotely or on site in Nuremberg.
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
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
Guino N.
Last position:
Senior Data Engineer at Infomotion
- Built a data analytics platform for Karl Storz
- Developed all ETL processes in a generic way
- Prepared and supplied data in Databricks Delta tables for use 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.
Discover over 15,000 top freelancers
Statistics of experts using Databricks
Aggregated from the professional profiles of matched freelancers.
Experience
12 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: 97%)
Master's degree or higher
86% (Germany: 68%)
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Nuremberg 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 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 19 Sep 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-based data and AI platform built around the lakehouse model. It combines scalable data storage, SQL analytics, Apache Spark processing, governance and machine learning in one environment. Companies use it to turn raw data into governed datasets, dashboards, predictive models and production data products.
Core workloads
Databricks supports batch and streaming workloads across finance, manufacturing, retail, logistics, healthcare and technology. Typical deliverables include:
- Lakehouse and data platform architecture
- ETL and ELT pipelines for structured and unstructured data
- Real-time ingestion with streaming sources
- SQL warehouses, dashboards and reporting models
- Machine learning training and inference workflows
Ecosystem and tooling
Strong Databricks specialists work with Apache Spark, Delta Lake, Unity Catalog and Databricks SQL. They connect cloud storage, warehouses, message brokers and business systems through tools such as Azure Data Factory, AWS services, Google Cloud services, Kafka and dbt. Python, SQL and Scala are common languages, while notebooks, repos, workflows and REST APIs support daily delivery.
When expertise helps
Companies often bring in freelance Databricks expertise when a data platform needs a clear architecture, faster pipelines or stronger governance. Specialists can also help during a cloud migration, a move from a traditional warehouse to a lakehouse, or the transition from experimental notebooks to reliable production workloads. In Nuremberg, remote collaboration can support local industrial and service businesses while on-site workshops remain useful for complex stakeholder work.
Delivery and operations
A capable professional defines data contracts, partitioning, schemas and quality checks before scaling a workload. They set up job orchestration, monitoring, access controls, cost-conscious compute and deployment practices. They should also understand how Delta Lake manages reliable updates, how Unity Catalog governs access and how model workflows move from development into production.
Choosing a specialist
Look for evidence of complete Databricks deliveries rather than isolated notebook work. A strong specialist can explain trade-offs between Spark and SQL, batch and streaming, managed services and custom infrastructure, as well as the needs of analysts, data scientists and platform teams. Clear documentation, tested transformations, observable pipelines and practical communication are signs of work that will remain maintainable after handover.
Frequently asked questions
Need clarity? These are the questions we hear most often about Databricks.
Companies use Databricks to ingest, transform and analyze large volumes of data in a lakehouse environment. It also supports streaming, business intelligence, machine learning and governed data sharing from a common platform.
Databricks combines data lake flexibility with warehouse-style performance and governance. It is often weighed against Snowflake, BigQuery or a cloud-native lake built directly on object storage, so the right choice depends on workload patterns, team skills and existing cloud commitments.
A strong Databricks specialist usually brings Apache Spark, Delta Lake, SQL and Python knowledge. Experience with cloud storage, orchestration, Kafka, dbt, Unity Catalog, CI/CD and machine learning operations is valuable when the work extends beyond a single pipeline.
The required depth depends on the scope. A focused SQL or transformation task may suit a specialist with targeted platform experience, while a lakehouse migration, governance model or production machine learning system calls for someone who has owned architecture, reliability and operational handover.
Yes. Databricks work is well suited to remote collaboration because development, reviews and platform access are cloud-based. Teams in Nuremberg should agree on documentation, working hours, security access and communication language, with on-site workshops added when domain discovery benefits from direct contact.
Azure Databricks can fit companies already invested in Microsoft identity, storage, data integration and security services. The decision should consider existing architecture, governance requirements and the team's familiarity with Azure rather than treating the hosted option as interchangeable in every environment.
Ask the specialist to explain data lineage, schema handling, testing, monitoring, access control and failure recovery in concrete terms. Good Databricks work has readable transformations, reproducible deployments, sensible compute choices and documentation that another professional can operate.
Freelancers should clarify the cloud provider, data sources, security model, deployment process and definition of production readiness. Databricks assignments can range from notebook development to platform ownership, so access constraints, stakeholder expectations and operational responsibility should be agreed before work begins.
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 752 € 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 12 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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf Request a free demo
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Philipp Thomaschewski
FRATCH CEO
