Databricks Experts in Hamburg
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Meet FRATCH Experts in Hamburg, who have recently used Databricks
Jan Hoppe
Last position:
Founder & Chief Product Officer at ganzheit
- Founded a bootstrapped AI-native startup building digital tools for psychotherapists
- Empowered therapists to enhance therapeutic work without disrupting human connection
- Assembled founding team and reached product-market fit with LLM-powered supervision for psychotherapists
- Integrated generative AI stack, including agentic coding, evaluations, tracing, and prompt management
Aravind Sasi Nair Purayath
Last position:
AI – Data Specialist at Emirates Islamic Bank
- Architected and deployed LLM based AI agents, RAG pipelines, and vector search solutions for decision support across retail banking department.
- Developed and shipped robust AI pipelines with guardrails, error handling, monitoring, and fallback logic ensuring high reliability outcomes and compliance with data privacy.
- Developed and deployed ML models to identify transactional anomalies, improving fraud detection and risk assessment in high-volume datasets for credit risk modelling.
- Built, evaluated and fine-tuned ML models to generate propensity scores for customers used to drive personalized targeting campaigns for credit cards and personal finance/loan products.
- Developed an NLP pipeline using BERT embeddings and spaCy NER for SMS/email analysis and customer query logs.
- Trained machine learning models using Isolation Forest to classify user behaviour and detect anomalies.
- Extracted, cleaned, enriched and feature engineered datasets from different sources to build feature stores that powered ML model training.
- Led development of dashboards using Power BI, Grafana, and Prometheus to monitor model performances, KPI trends, and marketing metrics.
- Built multi-touch attribution models using logistic regression and time-decay weights to evaluate lead quality.
- Developed scalable ETL pipelines from CRM, T24, SAP, and ERP, supporting millions of monthly transactions.
- Integrated testing and CI/CD workflows for robust data pipeline deployment.
Gabriele Schilling
Last position:
Founder and Managing Director at RS-Analytics GmbH
Pouya Fakhari
Last position:
Senior Project Manager at Circle K Deutschland GmbH
- Steering the rebranding of more than 40 applications, over 300 user accounts, and over 150 group mailboxes
- Coordinated with business units, key users, and technical providers for scheduling and implementation
- Analyzed 12 audit findings, developed a transition roadmap, and executed all measures on time
- Defined the new scope according to BSI guidelines
- Supported auditor selection process and prepared status reports for BSI
- Designed a new role model in SAP, aligned with management, and implemented it
- Created and delivered target-group-oriented training for responsible specialists
- Coordinated requirements with network architects, evaluated vendors, and supported contract conclusion
- Managed pre-staging of 300 laptops including configuration management
- Ensured accessibility of critical TotalEnergies applications via VNext / Workspace Access with authentication strategy using Yubikey and Microsoft Authenticator
- Supported go-live while meeting compatibility, security, and availability requirements
- Shifted from a big-bang to an iterative rollout model to reduce risk
- Defined an IT-side on/offboarding process for dual identities (TotalEnergies & Circle K)
- Ensured technical data integrity between Workday, Entra ID, and O365
- Implemented SAP-JDE cost center logic for ServiceNow orders
- Managed the change of company data in over 40 applications, including web portals, templates, and communication
- Led the SEPA mandate changeover for more than 2000 customers
- Oversaw SAP billing logic implementation through an external development team, including testing and go-live validation by 2025-01-01
- Collected IT-related auditor queries, coordinated with internal stakeholders, and prepared response documentation
- Planned and managed migration of 1200 TB of data between two M365 tenants
- Ensured data integrity, access continuity, and minimal downtime across OneDrive, Teams, SharePoint, and mailboxes
- Migrated data lake solutions (AWS & Databricks) in coordination with cloud architects and business units
- Coordinated testing, bug fixes, and go-live in close collaboration with internal teams and external partners
Anurag Singh
Last position:
Data Analyst (SME) at Cognizant
- Build data pipelines for raw and curated data layers using AWS S3, Glue, Athena, and Lake Formation
- Establish CI/CD using GitHub Actions or GitLab CI with CodePipeline
- Prototype models into demo APIs packaged with Docker, versioned with Git, added basic tests with pytest, and assist deployments on AWS SageMaker Endpoint
- Perform exploratory data analysis and feature engineering with pandas and PySpark; track experiments in MLflow or Weights and Biases
- Design and execute A/B tests to optimize user engagement and drive data-informed decisions
Daniel Pape
Last position:
Professional Development
Attained AWS Certified Cloud Practitioner certification.
Mastered Rust through self-study, including books, online courses, and open-source contributions.
Developed a serverless web application using AWS (RDS, Lambda, Polly, Amplify) and TypeScript/React/D3, managed infrastructure with CDK.
Continuously stayed updated with industry trends through self-education, webinars, and workshops, exploring Data Mesh and FastAPI.
Kai Pohl
Last position:
Microsoft Azure Synapse and Power BI Developer at Consulting company / International insurance brokerage group
- Built a Microsoft Azure Synapse Data Warehouse solution and developed ETL structures for an international insurance brokerage company
- Created tables, views, and pipelines in Azure Synapse
- Developed Power BI reports for controlling and tax reporting (BAB, IER)
- Technology stack: Microsoft Azure Synapse (Synapse SQL, Synapse Pipelines), Microsoft Power BI (semantic data model, reports), Azure DevOps (Boards, Repos)
- Development languages: DAX, M, SQL
Mirco Marahrens
Last position:
Senior Software Engineer at Vattenfall
- Lead of the platform engineering team for the development of a platform for energy trading, focusing on high availability, low latency, and scalability of libraries and services
- Supporting quants and market access solutions for energy trading, including market access integration and deployment of algorithmic trading strategies
Discover over 15,000 top freelancers
Statistics of experts using Databricks
Aggregated from the professional profiles of matched freelancers.
Experience
12 years (Germany: 14 years)
Position duration
2.3 years (Germany: 2.9 years)
Positions per freelancer
6 (Germany: 10)
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Professional Services, Banking and Finance
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
50% (Germany: 70%)
Doctorate
17%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
88% (Germany: 97%)
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 Hamburg 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 Hamburg 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Lakehouse work
Databricks is used for data engineering, analytics, and machine learning in one place. Strong specialists use it to ingest data, shape reliable tables, and support teams that need one environment for batch and streaming work.
Core stack
- Apache Spark for distributed data processing
- Delta Lake for reliable table storage
- SQL for reporting and ad hoc analysis
- MLflow for experiment tracking and model delivery
The best professionals know how these parts fit together and how to keep pipelines readable, testable, and easy to run in production.
When to bring in help
Companies usually bring in freelance expertise when a Databricks setup needs structure, speed, or a cleanup. That can mean redesigning notebooks, stabilizing jobs, improving table design, or supporting a move from older Hadoop or custom Spark setups.
What strong experts deliver
A good Databricks specialist does more than write code. They document data flows, handle permissions, tune Spark workloads, and make sure notebooks, jobs, and shared tables work well together.
Hamburg teams
In Hamburg, Databricks work often supports logistics, media, trade, and finance teams that depend on clear data pipelines and timely reporting. Freelancers can work on-site when needed or plug in remotely for platform, analytics, and model work in English or German.
What to look for
- Clear experience with Spark, SQL, and Delta Lake
- Practical knowledge of workspace structure and jobs
- Comfort with testing, monitoring, and access control
- Ability to explain trade-offs, not just build notebooks
The best experts leave behind stable systems that other specialists can maintain.
Frequently asked questions
Not sure where to start with Databricks? These answers cover the essentials.
Databricks is used to build data pipelines, analytics layers, and machine learning workflows in one workspace. Teams use it when they need Spark processing, Delta Lake tables, and SQL access without stitching together many separate tools.
No. Databricks is built around Spark, but most projects also involve SQL, Delta Lake, orchestration, access control, and sometimes MLflow. A strong specialist understands the full flow from raw data to trusted tables and downstream use.
Databricks is often chosen when companies want a lakehouse approach with more control over engineering and machine learning work. Snowflake is usually weighed for warehouse-first analytics, while plain Spark gives more flexibility but also more setup and maintenance.
A strong Databricks specialist usually knows Apache Spark, SQL, Delta Lake, job orchestration, data modeling, and notebook-based collaboration. Experience with cloud storage, permissions, and code review also matters when the workspace is shared across teams.
It depends on the scope, but most production Databricks work needs someone who has handled more than simple notebooks. If the task involves pipelines, access control, or model delivery, look for a specialist who has worked through failures, reruns, and performance issues.
Yes. Many Databricks tasks can be handled remotely, especially pipeline design, notebook cleanup, and SQL work. On-site sessions in Hamburg can still help when teams need fast alignment on data sources, security rules, or migration planning.
Look for clear examples of reliable pipelines, sensible workspace structure, and code that is easy for other specialists to maintain. A strong Databricks freelancer explains trade-offs, uses tests where they matter, and thinks about monitoring, retries, and cost control.
Good signs include practical knowledge of Delta Lake, Spark tuning, and the Databricks workspace, plus a calm way of working through messy data problems. The best specialists ask about data freshness, ownership, and downstream use before they suggest a solution.
The average hourly rate of freelancers in Hamburg, Germany who have used Databricks in their recent projects is 99 €, which corresponds to a daily rate of about 793 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Databricks in their recent projects, 100% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Hamburg, Germany who have used Databricks in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Hamburg, Germany who have used Databricks in their recent projects are German (100%), English (88%), and French (25%).
The most common industries among freelancers in Hamburg, Germany who have used Databricks in their recent projects are Information Technology (100%), Professional Services (50%), and Banking and Finance (38%).
The most common business areas among freelancers in Hamburg, Germany who have used Databricks in their recent projects are Business Intelligence (100%), Information Technology (88%), and Product Development (63%).
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 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
