Big Data Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Big Data
Umut G.
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Alexander H.
Last position:
Senior Product & Strategy Consultant at hegehofer.consulting
Design, development, and market launch of digital products and platforms – from strategic alignment and agile implementation to Go-to-Market and Go-Live, integrating AI into processes and products
Olga L.
Last position:
Business Analyst at VisualVest (Union Investment)
- Analyzed, structured, and documented business requirements for digital investment solutions, such as robo-advisors.
- Designed applications for new retirement products, including user flows, UX requirements, and functional specifications.
- Modeled and optimized business processes and coordinated with stakeholders while taking regulatory requirements in the financial sector into account.
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Torsten F.
Last position:
Data Analyst, Requirements Manager at Isabellenhütte Heusler GmbH
Analysis of the existing reporting platform, including processes and governance topics, with stakeholders from Sales and Marketing.
Detailed analysis and evaluation of customer-defined requirements for existing reporting and new dashboards to be established.
Support for stakeholders in managing sales processes and identifying KPI trends at an early stage.
Use of Microsoft Power BI as the central analysis and reporting platform.
Development of a proposal for the required further development of processes and the Power BI platform.
Documentation of AS-IS business processes and derivation of company-wide KPIs, including coordination with stakeholders.
Analysis and assessment of the customer's Power BI platform.
Analysis of processes and data governance.
Documentation of AS-IS business processes.
Development of recommendations for further developing processes and the reporting platform.
Design and implementation of dashboards in Power BI.
Development of company-wide KPIs and coordination with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
Helge B.
Last position:
Solution Architect at Deutsche Bahn
- Responsible for the end-to-end application and integration architecture for the S-Bahn Hamburg maintenance digitalisation program. A highlight is the introduction of robots and permanently installed camera gates to automate vehicle inspections, allowing AI image algorithms to assess the condition of trains during operation.
- Deutsche Bahn has one of the largest SAP PM implementations in the world, which is a central component of this digitalisation.
Carlbandro E.
Last position:
IT Lecturer / Coach at Freelance
As a freelance IT lecturer and IT coach, I specialize in teaching individuals concepts like Cloud Computing, Business Intelligence, Python Programming and Agile Frameworks. My goal is to simplify complex technical concepts into practical, actionable knowledge. Through my extensive experience as an IT consultant in various sectors and roles I know about the importance of IT training - for companies and employees alike.
Michael W.
Last position:
Business Analyst, Product Owner, Deputy Chairman of the Advisory Board at Federal Ministry, large German city
- We designed a networking platform to improve cooperation and information in the district (Project 71).
- We carried out a tender, defined necessary documents and processes.
- We aimed to ensure that the commissioned service provider carries out quality assurance of the project team's results before implementation.
- We selected a provider.
Ulf S.
Last position:
Innovation Manager at Claas
- Steer innovation projects for AI-based systems, focusing on plant detection technology for agricultural applications.
- Champion digital transformation initiatives within software departments, advocating for Agile methodologies and Scrum-based workflows.
- Analyse and optimise team infrastructure, fostering a culture of continuous improvement and strategic development.
- Pioneered integration of AI technology in agricultural equipment, significantly advancing precision farming techniques.
- Designed a cloud-based dashboard platform, facilitating real-time data access and decision-making for field management.
- Developed camera-based GPS systems for tractors, enhancing field analysis capabilities.
- Created and implemented AI interfaces for pre-processing image data, ensuring seamless statistics delivery to the cloud via LTE.
- Innovated cloud-based dashboard platforms, introducing cutting-edge technology concepts and coordinating cross-functional teams to execute project visions.
Vladimir F.
Last position:
IT Consultant at ITZBund
- ITSM consulting, analysis and optimization of IT capacity with BMC TSCO / BMC Helix
- Drafting "Governance guidelines for operational capacity management"
Richard R.
Last position:
Vice President– Head of Claims Operations, Europe at SOMPO International
Managing TPA Manager and a team of 10 Claims Operation Assistants.
Designing and implementing processes and workstreams using Guidewire from the ground up with European claims teams across all lines of business.
Establishing service level agreements (SLAs) and detailed key performance indicators (KPIs) with new business intelligence (BI) reporting, payment and performance analysis.
Developing, steering and analysing 50+ strategic, operational and IT initiatives, driving digital change and AI automation in payments while meeting DORA, GDPR, ACM and BAIT MaRisk regulatory compliance.
Increasing customer satisfaction scores by 80%.
Attracting and mentoring market-leading operational and TPA talent.
Demonstrating strong stakeholder leadership and swift decisional influence.
Ashkan Z.
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Andreas I.
Last position:
Cybersecurity Specialist Assessor at Bundesnetzagentur
- Recognition of national notified bodies
- Preparation of cybersecurity competency reports
- EU Radio Equipment Directive
Zahra D.
Last position:
Data and Process Analyst in Healthcare at Ministry of Health and Medical Education
- Optimized the patient journey through big data analysis and cross-functional collaboration
- Regionalized NICU centers with 86% coverage using mathematical models
- Developed patient flow and geoprocessing models with Python and ArcGIS, resulting in an 18% increase in efficiency
- Built simulation models to optimize bed utilization and reduce waiting times with Rockwell Arena
- Developed analytical dashboards in collaboration with clinical experts
- Implemented machine learning algorithms for birth predictions and cross-functional prescription analyses
Tobias G.
Last position:
Head of IT D-A-CH (CIO) at Sodexo Service GmbH
- Responsible for IT strategy and operational IT governance in the D-A-CH region, covering infrastructure, applications, operations, security, and support
- Developed and implemented a strategic IT transformation to improve scalability, efficiency, and security of IT systems
- Managed a team of 25 specialists and coordinated with global and regional IT stakeholders
- Deployed a centralized IT service model for 250+ sites to standardize and optimize processes
- Supported and technically executed a carve-out to ensure business continuity
- Introduced modern cloud technologies and automation solutions to optimize processes
- Ensured compliance with ISO 27001, GDPR, and ITIL standards to minimize security risks
- Reduced IT costs by 20% through cloud migration and IT consolidation
- Built and led a high-performing IT team with focus on innovation and service orientation
- Led IT transformation projects including ERP migration, IT security, and digitalization
- Improved IT security level by implementing ISO 27001 and GDPR-compliant processes
- Optimized service times by 30% through AI-powered process automation
Discover over 15,000 top freelancers
Statistics of experts using Big Data
Aggregated from the professional profiles of matched freelancers.
Experience
22 years (Germany: 19 years)
Position duration
2.2 years (Germany: 3 years)
Positions per freelancer
14 (Germany: 12)
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
84% (Germany: 93%)
Master's degree or higher
44% (Germany: 65%)
Doctorate
8% (Germany: 16%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, Italian
Speak two or more languages
100% (Germany: 98%)
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 Frankfurt 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 Frankfurt 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Big Data 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 (83%)
- Banking and Finance (57%)
- Professional Services (50%)
- Manufacturing (47%)
- Healthcare (43%)
- Transportation (40%)
- Insurance (33%)
- Telecommunication (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Data at scale
Big Data refers to methods and systems for collecting, storing and processing data that is too large, fast or varied for conventional databases. Companies use it to combine event streams, transactions, documents, sensor readings and customer activity into reliable information for analysis and action.
What it builds
Big Data supports platforms that process data in batches or in real time. Typical deliverables include:
- Data lakes and lakehouse architectures
- Streaming pipelines for events and telemetry
- Analytics platforms and reporting foundations
- Machine learning data preparation
Core ecosystem
The ecosystem includes Apache Spark for distributed processing, Apache Hadoop and its storage components, Kafka for event streaming, and cloud services for scalable storage and compute. Strong specialists also work with SQL, Python, Scala, orchestration tools, data catalogues and formats such as Parquet.
When to bring in experts
Companies often need freelance expertise when data sources are multiplying, pipelines are unreliable or a legacy warehouse cannot support new workloads. In Frankfurt, specialists may help financial, industrial, logistics and retail teams connect local systems with cloud-based data platforms while coordinating with remote stakeholders.
Delivery skills
A capable professional starts with clear data contracts, lineage and access rules rather than choosing tools in isolation. They design for failure, control compute costs, monitor freshness and quality, and make pipelines observable from ingestion through consumption. Experience with governance and privacy-aware data handling matters as much as distributed processing.
Choosing well
Look for evidence of production systems with meaningful data volumes, changing schemas and operational ownership. Ask how the specialist handled late events, duplicate records, backfills, failed jobs and changing business definitions. Strong candidates explain trade-offs between batch and streaming, warehouse and lakehouse, self-managed Hadoop and managed cloud services in language your teams can use.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Big Data.
Big Data is used to collect and process large, fast-moving or varied datasets. Common applications include fraud detection, recommendation systems, predictive maintenance, supply chain analysis, customer analytics and real-time operational monitoring.
Big Data systems handle broader data types and distributed workloads, including streaming and semi-structured information. A traditional warehouse is often simpler for governed, structured reporting, while modern lakehouse designs combine flexible storage with warehouse-style analytics.
A strong Big Data specialist usually combines distributed processing with SQL, Python or Scala, data modelling and cloud infrastructure. Useful adjacent skills include Apache Kafka, orchestration, observability, data governance, machine learning workflows and security.
The right level depends on the system’s risk, scale and operational complexity. For a new pipeline, seek someone who has designed comparable ingestion, processing and monitoring patterns; for a focused migration or optimisation task, deep expertise in the relevant tools may matter more than broad platform ownership.
Yes, Big Data work is often suitable for remote collaboration because repositories, cloud environments and monitoring tools can be shared securely. On-site sessions in Frankfurt can still help with discovery, architecture decisions and coordination across data-owning teams.
Apache Spark suits distributed batch processing, SQL workloads, streaming and machine learning preparation across large datasets. It is not automatically the best option for every task, so a specialist should compare it with warehouse SQL, managed services or simpler processing based on latency, cost and maintenance needs.
Hadoop remains relevant in some established environments, particularly where its distributed storage and processing ecosystem is already embedded. New projects often favour managed cloud storage and services, but a qualified specialist should assess migration effort, data gravity, compliance and existing operational knowledge before recommending a change.
Ask how the specialist ensures data quality, handles schema changes and recovers from failed or delayed jobs. A credible Big Data professional can show clear reasoning about lineage, monitoring, security, cost control and the business meaning of the data, not only a list of tools.
The average hourly rate of freelancers in Frankfurt, Germany who have used Big Data in their recent projects is 103 €, which corresponds to a daily rate of about 825 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Big Data in their recent projects, 84% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Big Data in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Frankfurt, Germany who have used Big Data in their recent projects are German (100%), English (100%), and Italian (13%).
The most common industries among freelancers in Frankfurt, Germany who have used Big Data in their recent projects are Information Technology (83%), Banking and Finance (57%), and Professional Services (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used Big Data in their recent projects are Information Technology (93%), Business Intelligence (87%), and Project Management (87%).
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 
Hamburg 
Munich 
Cologne 
Stuttgart Request a free demo
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Philipp Thomaschewski
FRATCH CEO
