Big Data Experts in Hamburg
in minutes from over 15,000 CVs with the power of AI.Hire experts who design data pipelines, tune Hadoop and Spark workloads, and build reliable analytics layers for reporting and machine learning. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Hamburg, who have recently used Big Data
Rutger Boels
Last position:
Partner & Managing Director at AI.IMPACT
- Building an AI & Data Consultancy Practice with the goal of helping European companies adopt Artificial Intelligence and modern data platforms
- End-to-end further development of a production system using modified coding agents (OpenCode). Tech stack: Kubernetes, Argo, Keycloak, Typescript, Grafana, GitOps, DevOps, Playwright
- Internal research project on the use of coding agents in the field of mathematical logic for creating formal models. Use of Cursor IDE and Codex, Codex CLI. Architecture design, quality control and refactoring, as well as writing code and tests. Repository (open source) available pre-launch
- Research on the role of mathematical logic as a formal language that connects IT and AI with business processes
- Project lead for collecting and deploying parking recommendations for rail vehicles with significant savings potential based on real-time data in a mobility and transport company
- Project lead for collecting and distributing process measurement points for real-time control in a mobility and transport company
- Deputy application owner for an app used for communication in the dispatching and provision of rail vehicles
Nina Hellmann
Last position:
HRIS implementation at manufacturing company
data management: importing historical data during system migrations (20–230 employees), Personio, Recruitee, Softgarden, etc.
Marcus Brandt
Last position:
Managing Director at Petermann Brandt GmbH
- Development and implementation of custom IT solutions for key customers.
- More than 15 years of experience in IT and project management, disciplinary leadership of up to 80 employees.
Adriana Van Boxtel
Last position:
Board Member – Data Governance & Digital Strategy at IWCA Germany e.V.
- Co-founded the German chapter of the International Women's Coffee Alliance, contributing to strategic vision development and organizational structuring for international development initiatives
- Optimized internal workflows and reduced administrative overhead through systematic process analysis and documentation
- Designed and implemented governance frameworks and data governance standards to support ESG compliance and transparency requirements for NGO operations
- Developed comprehensive data strategy to enhance data quality, transparency, and reporting capabilities across international stakeholder network
Alain Blankenburg-Schröder
Last position:
Interim Manager | Product Manager | AdTech & CDP Expert | Technical Transformations at Freelancer
- Hands-on product and portfolio analyses with actionable recommendations
- Skilled in consulting, concept development, and agile project management
- Technical leadership & team empowerment – for smooth agile delivery with foresight and guardrails
Jan Gleske
Last position:
Interim Senior Application Owner for Pricing, Forecasting and Prognosis Solutions at International energy trading company
- Collaborated closely with key users, business analysts and product owners to understand requirements, define priorities and derive solutions
- Managed external service providers
- Oversaw and executed updates, patches and release management
- Handled incident, problem and change management according to ITIL
- Analyzed and evaluated incidents and changes for operational impact and business processes
- Monitored systems and interfaces, ensuring IT security and compliance requirements
- Supported IT planning, cost monitoring and contract management
- Created and executed tests for maintenance and projects
- Assisted in designing technical solutions and contributed to projects such as IT landscape harmonization and modernization
- Independently led operations-related projects and continuously optimized processes
- Achieved significant cost savings through supplier negotiations, rightsizing and decommissioning of legacy systems
- Technologies: Azure DevOps, ServiceNow, icinga, metalogic mPE/mPX, FIS, inubit, Oracle, LeanIX, One Identity, Confluence, Copilot, XML, JSON, SQL, RabbitMQ, Python, BPMN, OKR, ITIL, Kanban
Ali Soltani
Last position:
Salesforce Consultant at Artemis Innovations GmbH
- Replaced Oracle Service Cloud with Salesforce
- Analyzed the existing data structure and developed a migration plan
- Created data transformation flows using Pentaho (Spoon)
- Analyzed processes and validation rules to prepare data migration focusing on service object data
Finn Hinrichsen
Last position:
Data Architecture at NTT Global Ltd.
Design and implementation of a big data energy reporting infrastructure for operational data from data centers in EMEA for aggregated client reporting and the energy efficiency register (EnEfG)
Integration of data from over 50 systems, including GridVis, Robotron, Niagara, ShowIT, and Salesforce
Ahmed Marzouk
Last position:
Head of Data Department at Fotograf Gmbh
- Building teams of data people - BI Analysts, Data Scientists, Data Engineers
- Defining data strategy across all business units to support short, mid & long-term business goals
- Collaborating with the product leads & management & heads of departments to provide data support
- Defining budget to make everything happen
- Aligning the data teams goals with company vision, strategy & objectives
- Responsible for the data governance as well as for the strategic development planning
- Defining and developing joint OKRs
- Reporting directly to the CTO & CEO
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.
Discover over 15,000 top freelancers
Statistics of experts using Big Data
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 19 years)
Position duration
2.4 years (Germany: 3 years)
Positions per freelancer
12
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Professional Services, Retail
Certification focus areas
Information Technology, Business Intelligence, Human Resources
Bachelor's degree or higher
100% (Germany: 91%)
Master's degree or higher
78% (Germany: 64%)
Doctorate
33% (Germany: 17%)
Certifications per freelancer
5 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
90% (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 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 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
What it covers
Big Data is the work of storing, moving, and analyzing large, fast, or complex data sets. It is used to turn raw events, logs, transactions, and sensor streams into reports, alerts, and model inputs. Strong specialists know how to keep that flow usable, secure, and stable.
Typical work
- Build batch and streaming pipelines
- Prepare data lakes and warehouse feeds
- Process logs, clickstream, and IoT data
- Support analytics, BI, and machine learning teams
In Hamburg, this often matters for logistics, trade, media, and other data-heavy operations that need clean, timely information.
Common stack
A Big Data setup often includes Hadoop, Apache Spark, Kafka, cloud storage, and orchestration tools. The right professional understands how these parts fit together and how to keep jobs predictable across growing data volumes. They also know when to simplify, not add more layers.
When to bring in help
Companies usually bring in freelance support when pipelines fail, data quality drops, or a new platform must be delivered quickly. It also helps during cloud migration, tool replacement, or when an internal team needs extra depth for a complex release. Good specialists work well with product, analytics, and infrastructure teams.
What strong specialists do
Strong professionals think beyond one script or one dashboard. They design for data freshness, failure recovery, naming consistency, and traceable transformations. They write clear handover notes so the platform can be maintained after the project ends.
How to judge fit
Look for practical experience with real data volumes, not just proofs of concept. Ask how they handle schema changes, backfills, broken sources, and slow jobs. For Hamburg-based teams, remote collaboration is common, but on-site work can help when access, stakeholders, or legacy systems make the setup more complex.
Frequently asked questions
Not sure where to start with Big Data? These answers cover the essentials.
Big Data is used to collect, store, and analyze large or fast-moving data from systems, apps, devices, and external sources. Companies use it for reporting, monitoring, forecasting, customer behavior analysis, and machine learning input. The goal is to make complex data usable for daily decisions.
Big Data usually handles larger, messier, or faster data flows than classic BI setups. A warehouse is often focused on structured reporting, while Big Data work also covers pipelines, streaming, and mixed data sources. In practice, many projects use both together.
Big Data projects often rely on Hadoop for distributed storage and batch processing, and on Apache Spark for faster processing and analytics. The choice depends on the source data, latency needs, and how the wider stack is already built. A strong specialist can explain the trade-offs clearly.
A strong Big Data specialist usually knows SQL, Python, cloud services, data modeling, and orchestration tools. Experience with Kafka, Hadoop, Spark, and storage layers is often useful too. Clean documentation and practical testing habits matter just as much as tool knowledge.
A Big Data freelancer can start quickly if the data sources, target outputs, and failure points are clear. They still need access to sample data, pipeline logic, and the rules around security and quality. The better the brief, the faster they can improve the system.
Most Big Data work can be done remotely, including pipeline development, reviews, and troubleshooting. On-site time in Hamburg can help when teams need workshops, access to local systems, or close work with operations and stakeholders. Many projects use a mixed setup.
A good Big Data expert can explain how they handled data quality, retries, backfills, and performance in past work. Look for clear answers about schema changes, monitoring, and handover, not just tool names. Good specialists talk in concrete outcomes and risks.
A Big Data freelancer usually wants to know the source systems, expected data size, delivery cadence, and who owns each part of the stack. They also need to understand the review process and any compliance or access constraints. Clear goals make the project easier for everyone.
The average hourly rate of freelancers in Hamburg, Germany who have used Big Data in their recent projects is 120 €, which corresponds to a daily rate of about 961 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Big Data in their recent projects, 100% hold at least a Bachelor's degree, 78% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Hamburg, Germany who have used Big Data in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Hamburg, Germany who have used Big Data in their recent projects are German (100%), English (90%), and Spanish (30%).
The most common industries among freelancers in Hamburg, Germany who have used Big Data in their recent projects are Information Technology (90%), Professional Services (70%), and Retail (50%).
The most common business areas among freelancers in Hamburg, Germany who have used Big Data in their recent projects are Information Technology (100%), Business Intelligence (80%), and Project Management (70%).
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 
Munich 
Cologne 
Frankfurt 
Stuttgart Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
