Big Data Experts in Frankfurt
, matched in minutes from over 15,000 CVsHire experts who design scalable data platforms, develop Spark and Hadoop pipelines, and turn streaming or batch data into reliable analytics. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your project.
Meet FRATCH Experts in Frankfurt, who have recently used Big Data
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 client-defined requirements for existing reporting and new dashboards.
Supporting stakeholders in managing sales processes and early detection of KPI trends.
Use of Microsoft Power BI as central analysis and reporting platform.
Developing a proposal for the necessary evolution of processes and the Power BI platform.
Gathering current business processes and defining company-wide KPIs in coordination with stakeholders.
Analysis and inventory of the client's Power BI platform.
Analysis of processes and data governance.
Recording and documenting current business processes.
Developing recommendations for process and reporting platform improvements.
Designing and implementing dashboards in Power BI.
Defining company-wide KPIs and aligning them with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
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.
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.
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
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.
- Analyze and optimize 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.
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
Suneel D.
Last position:
SAP Consultant & Developer at KS KeySolutions GmbH
- ABAP developments for rku.it GmbH, Agena GmbH, Koenig & Bauer AG, Salzgitter AG, duagon AG
- Redesigned material configuration data mass maintenance Fiori app for Siemens AG Engineering to resolve system resource issues
- Conducted S4Hana ABAP code remediation, ATC checks, and implemented ABAP parallel processing for Voestalpine AG
Kamran V.
Last position:
Agile Delivery Manager at Sparecodes Incorporation
- Highly successful role as lead data analytics expert at a US consulting startup.
- Managed stakeholder expectations by ensuring team delivery velocity using Agile and Lean practices.
- Trained and assembled international offshore data science teams of DevOps engineers, BI developers, and technical support specialists.
- As Sparecodes' data analytics experts, we improved our clients’ business outcomes through requirements management, dashboard and report development, migration, automation, and production support using IBM Cognos, AWS, SAP, Oracle, Teradata, CRM, ERP, Confluence, and Microsoft.
- Provided effective coaching and mentoring for international, multicultural teams in a remote environment, covering new tools and techniques, Agile best practices, internal and external communication, and presentation skills.
- Coordinated technical processes efficiently, including managing and implementing project changes and control processes.
- Promoted strong team engagement and supported employees’ career development, including business change management through coaching.
- Enhanced project status reports by providing insights into team productivity, predictability, and backlog burn-down, leading to improved project outcomes.
- Successfully led the coordination and implementation of software solutions for clients in mechanical engineering, including automation system integration and customization to meet client needs.
Helge B.
Last position:
Solution Architect at Deutsche Bahn
- Responsible for the end-to-end application and integration architecture of the Hamburg S-Bahn maintenance digitization program. A highlight is the introduction of robots and fixed camera towers to automate vehicle inspections, allowing AI image algorithms to assess train conditions during operation.
- Deutsche Bahn has one of the largest SAP PM implementations worldwide, which is a key component of this digitization.
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
2.3 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, Business Intelligence, Project Management
Bachelor's degree or higher
83% (Germany: 92%)
Master's degree or higher
42% (Germany: 65%)
Doctorate
8% (Germany: 17%)
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Frankfurt 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 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 19 Sep 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 (59%)
- Professional Services (48%)
- Healthcare (45%)
- Manufacturing (45%)
- Transportation (41%)
- Insurance (34%)
- Telecommunication (34%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Big Data covers
Big Data refers to methods and platforms for collecting, storing and processing data volumes, speeds and formats that traditional systems cannot handle efficiently. It supports batch processing, real-time streams, large-scale analytics and machine learning preparation. Typical outputs include data lakes, reporting layers, recommendation systems and operational insights.
Core ecosystem
The ecosystem combines distributed storage, processing engines, messaging systems and cloud services. Hadoop remains a common foundation in established environments, while Apache Spark supports batch and streaming workloads with a broad language ecosystem. Specialists also work with Kafka, Flink, Databricks, Snowflake, object storage, Kubernetes and orchestration tools.
Where it is used
Companies use Big Data where many sources must be combined and analysed continuously. Common applications include:
- Customer behaviour and recommendation analytics
- Fraud detection and risk monitoring
- IoT telemetry and predictive maintenance
- Supply chain and logistics optimisation
- Large-scale search and personalisation
When expertise matters
Freelance expertise is valuable when a company is replacing legacy data processing, launching a lakehouse or moving workloads to the cloud. It also helps when pipelines are slow, data quality is inconsistent or streaming workloads need reliable operations. In Frankfurt, specialists may support financial, industrial, logistics and healthcare teams, with remote or on-site collaboration depending on security and stakeholder needs.
Skills strong specialists bring
Strong professionals connect architecture with practical delivery. They understand distributed computing, data modelling, SQL, Python or Scala, and can choose between batch and streaming designs. They build ingestion and transformation pipelines, define governance and observability, manage access controls, and explain trade-offs to product and business teams.
Signs of good delivery
Quality is visible in dependable pipelines, clear ownership and useful data products rather than in tool names alone. Look for specialists who can demonstrate:
- Reproducible data workflows and tested transformations
- Monitoring for freshness, failures and data drift
- Cost-aware storage and compute decisions
- Secure handling of sensitive information
- Documentation that enables internal teams to operate the system
Frequently asked questions
The facts hiring teams ask for most often when it comes to Big Data.
Companies use Big Data to process large and varied datasets for analytics, forecasting, fraud detection, recommendations and operational monitoring. The right design can combine historical records with live event streams and make the results available to applications or decision-makers.
A Big Data platform is suited to distributed processing, high-volume ingestion and varied data formats, while a traditional warehouse usually focuses on structured analytics and governed reporting. Many modern architectures combine both, using a lakehouse or warehouse for curated data and distributed tools for broader processing.
A strong Big Data specialist often brings SQL, Python or Scala, data modelling, cloud infrastructure and workflow orchestration. Experience with Kafka, Spark, Hadoop, Flink, Kubernetes, security and data governance is also useful when the work spans the full platform lifecycle.
A Big Data freelancer should have delivered systems comparable in workload, latency, data sensitivity and operational complexity to your project. Ask for examples of production pipelines, incident handling, testing, cost control and measurable improvements in reliability or data usability rather than relying on tool familiarity alone.
Yes, much Big Data work can be delivered remotely through secure access, documented interfaces and regular technical reviews. On-site sessions in Frankfurt may still help with sensitive environments, architecture workshops or close collaboration with local business and compliance teams.
Assess Big Data delivery through pipeline tests, data quality checks, monitoring, documentation and clear recovery procedures. A capable specialist can explain why the architecture fits the workload and can show how freshness, accuracy, security and operating cost will be managed.
Hadoop remains relevant in established clusters and some enterprise environments, but it is not the only path for modern data platforms. Ask whether the specialist can work across Hadoop, Spark, cloud storage and managed services while selecting tools based on workload and operating constraints.
Before starting Big Data work, clarify source systems, data ownership, retention, access rules, freshness targets and expected consumers. Also agree on deployment responsibilities, monitoring, documentation and how success will be tested in production.
The average hourly rate of freelancers in Frankfurt, Germany who have used Big Data in their recent projects is 102 €, which corresponds to a daily rate of about 820 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Big Data in their recent projects, 83% hold at least a Bachelor's degree, 42% 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 2.3 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 (14%).
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 (59%), and Professional Services (48%).
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 (86%), and Project Management (86%).
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
