Google BigQuery Experts in Frankfurt
from over 15,000 CVs with fast, precise AI matchingHire experts who design BigQuery data warehouses, optimize SQL and connect Google Cloud analytics services. Work with vetted, available freelancers matched to your project’s scope and required skills.
Meet FRATCH Experts in Frankfurt, who have recently used Google BigQuery
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.
Polina S.
Last position:
Data Migration Lead – Process Automation, Data Engineering & Reporting at Large Public-Sector Bank
Configured and automated data extracts from Oracle databases, achieving 100% data accuracy in a critical migration project, significantly reducing manual errors and accelerating the migration timeline.
Designed and implemented interfaces with Order Management Systems (OMS), enabling seamless and automated data exchange and improving operational efficiency through faster, error-free order processing across business units.
Developed and deployed data extraction workflows to support regulatory compliance and customer reporting, ensuring timely delivery of key reports, reducing manual effort, and increasing customer satisfaction.
Judith B.
Last position:
BI & Analytics Consulting
- Analysis of web and campaign performance to derive actionable insights for marketing and growth optimization
- Implementation and maintenance of tag management solutions to ensure reliable and consistent data collection
- Continuous development and optimization of reporting structures with a focus on scalability and data quality
- Conducting regular deep-dive analyses and leading monthly stakeholder sessions to present findings and align on optimization measures
- Designing and managing end-to-end data flows from data collection to visualization
- Tools: GA4, Google Tag Manager, Looker Studio, Airbyte, BigQuery
Garima C.
Last position:
IT Program Director at Trax Retail
- Directed global digital transformation programs enabling enterprise adoption of AI-powered retail analytics solutions
- Led migration from legacy platforms to cloud-based ecosystems, improving data processing performance by over 40%
- Served as strategic technology advisor to enterprise customers, aligning technology roadmaps with business objectives
- Managed cross-functional global teams of 100+ resources across multiple regions
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.
Jens D.
Last position:
Product Owner & Senior Data Scientist at Legal Tech
- Led an international team of six developers in a Scrum environment
- Defined strategic goals for the project in coordination with stakeholders and the development team
- Prompt engineering for language models to improve the accuracy and relevance of generated responses
- Implemented LangChain components for a RAG chatbot to answer legal questions
- Technologies: GPT-4, LangChain, Python (Pandas, sklearn, streamlit), Docker, GitLab, ChromaDB
Aparna V.
Last position:
Data Manager at University of Cologne
- Engineered and automated a data pipeline using GitLab CI/CD for data ingestion, validation, and loading into a central database.
- Developed Python scripts for data validation and transformation, ensuring data quality and compliance with metadata standards.
- Managed the entire data lifecycle from file-based repositories to a structured SQL Server database.
- Worked in an interdisciplinary team to establish a central database for-omics data and ensure reproducibility of computational analyses.
Discover over 15,000 top freelancers
Statistics of experts using Google BigQuery
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 13 years)
Position duration
2.1 years
Positions per freelancer
9
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Banking and Finance, Information Technology, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
71% (Germany: 66%)
Doctorate
29% (Germany: 8%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
English, German, Spanish
Speak two or more languages
88% (Germany: 94%)
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 Google BigQuery
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.
Google BigQuery experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (63%)
- Information Technology (63%)
- Professional Services (63%)
- Manufacturing (50%)
- Healthcare (38%)
- Retail (38%)
- Telecommunication (38%)
- Advertising (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What BigQuery Does
Google BigQuery is a fully managed, serverless data warehouse on Google Cloud. It stores and analyzes large datasets with SQL, making it suitable for business intelligence, product analytics, reporting, machine learning preparation and event data exploration. Teams query data without managing database servers or storage infrastructure.
Core Capabilities
BigQuery experts design datasets, tables and views around clear analytical requirements. They write efficient GoogleSQL, choose suitable partitioning and clustering strategies, and manage schemas that can evolve without disrupting reporting. They also work with scheduled queries, materialized views, external tables and BigQuery reservations where workload control matters.
Connected Services
The platform sits within a broad Google Cloud ecosystem. Strong specialists connect it with:
- Cloud Storage for files, data lakes and batch loading
- Dataflow, Dataproc and Pub/Sub for streaming or transformation pipelines
- Looker, Looker Studio and other BI tools for dashboards
- Vertex AI and notebooks for analytical and machine learning workflows
- IAM, Cloud Logging and Data Catalog for governance and operations
When to Bring in Experts
Companies often need freelance expertise when a warehouse migration has stalled, query costs are difficult to control or reporting teams cannot agree on a reliable data model. Specialists can also support a new analytics foundation, a real-time pipeline, a multi-source integration or a review of existing BigQuery SQL. In Frankfurt, remote delivery is common, while workshops and stakeholder sessions may benefit from occasional on-site collaboration.
Skills That Matter
A capable professional combines BigQuery knowledge with data modeling, SQL, Python and pipeline design. They understand batch and streaming ingestion, data quality checks, access controls, lineage and dashboard requirements. Familiarity with Google Cloud IAM, Cloud Composer, Dataform, Terraform and CI/CD is valuable when BigQuery must operate as part of a governed production environment.
Signs of Quality
Look for clear reasoning about grain, partition keys, clustering and query execution rather than a focus on syntax alone. Strong professionals explain trade-offs between BigQuery, traditional relational warehouses and lakehouse approaches, then document decisions for the wider team. Ask for evidence of reliable tests, monitored pipelines, controlled access and dashboards that reflect trusted business definitions. German and English communication can both be relevant for teams working in Frankfurt.
Frequently asked questions
Not sure where to start with Google BigQuery? These answers cover the essentials.
Google BigQuery is used for analytical workloads over structured and semi-structured data. Companies use it for reporting, customer and product analytics, log analysis, data warehouse modernization and machine learning preparation without provisioning database servers.
BigQuery is a serverless Google Cloud warehouse built for large-scale analytical queries and flexible storage. Snowflake offers a comparable cloud warehouse model, while PostgreSQL and similar databases are usually better suited to transactional applications; the right choice depends on workload, cloud strategy, governance and existing skills.
A strong BigQuery specialist often brings GoogleSQL, Python, data modeling and pipeline design skills. Useful adjacent knowledge includes Cloud Storage, Dataflow, Pub/Sub, Dataform, Looker, Terraform, IAM and data quality testing.
The required level depends on the work, not a fixed number of years. A straightforward dataset or dashboard may need focused SQL and modeling capability, while migrations, streaming pipelines, governance and cost control call for a professional who has handled comparable production systems.
Google BigQuery work is well suited to remote collaboration because datasets, SQL, infrastructure and documentation are shared through cloud tools. Teams in Frankfurt should agree on working hours, access procedures, meeting language and whether important discovery or stakeholder sessions require on-site attendance.
BigQuery can receive streaming data through ingestion services and connected Google Cloud pipelines. A specialist should define delivery guarantees, schema evolution, late-arriving records, deduplication and monitoring rather than treating streaming as only a connector configuration task.
Ask how the professional would model the data, control query consumption, test transformations and protect sensitive information. Good answers should cover partitioning, clustering, IAM, lineage, alerting and clear ownership of business definitions, with explanations tied to your actual workload.
Google BigQuery is suitable for preparing and analyzing training data, feature exploration and integrating warehouse data with Google Cloud machine learning services. A qualified specialist should also understand leakage prevention, reproducible transformations, access controls and how analytical tables will be refreshed for model use.
The average hourly rate of freelancers in Frankfurt, Germany who have used Google BigQuery in their recent projects is 100 €, which corresponds to a daily rate of about 803 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Google BigQuery in their recent projects, 100% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Google BigQuery in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Frankfurt, Germany who have used Google BigQuery in their recent projects are English (100%), German (88%), and Spanish (25%).
The most common industries among freelancers in Frankfurt, Germany who have used Google BigQuery in their recent projects are Banking and Finance (63%), Information Technology (63%), and Professional Services (63%).
The most common business areas among freelancers in Frankfurt, Germany who have used Google BigQuery in their recent projects are Information Technology (100%), Business Intelligence (88%), and Project Management (75%).
Main locations of FRATCH Experts, who have recently used Google BigQuery
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 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
