Google BigQuery Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Google BigQuery
Torsten Feix
Last position:
Data Analyst, Requirements Manager at IsabellenhĂĽtte 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.
Judith Beyrle
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
Polina Schulz
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.
Garima Chomal
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 Virk
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 Daube
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 Ammanath
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
18 years (Germany: 13 years)
Position duration
2.2 years
Positions per freelancer
9
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Professional Services, Banking and Finance, Information Technology
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
67%
Doctorate
33% (Germany: 8%)
Certifications per freelancer
2
Most common languages
English, German, Arabic
Speak two or more languages
86% (Germany: 94%)
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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
BigQuery for analytics
Google BigQuery is a serverless data warehouse for fast analysis on large data sets. Companies use it for reporting, ad hoc SQL, BI dashboards, and event analytics without managing database servers. It fits teams that need storage, querying, and sharing in one place.
Common delivery areas
- Data warehouse design and table modelling
- SQL queries for finance, product, and operations reporting
- ELT pipelines and scheduled jobs
- Dashboard support for Looker and other BI tools
- Query cost and performance tuning
Ecosystem around it
Strong BigQuery specialists work with the wider Google Cloud stack and with tools that feed or read the warehouse. That often includes Cloud Storage, Dataflow, Pub/Sub, Dataproc, dbt, Looker, and IAM. They also understand partitioning, clustering, views, materialized views, and shared datasets.
When companies bring in help
Freelance expertise is useful when queries are slow, costs are hard to control, or the warehouse model has grown messy. It also helps during migrations from legacy warehouses or when a Frankfurt team needs short-term support for a reporting release, often alongside remote product and data teams.
What strong specialists do
Strong professionals do more than write SQL. They design clean schemas, document logic, test transformations, and keep access rules clear for the right teams. They also know how to read query plans, use BigQuery slots wisely, and avoid common mistakes like unnecessary scans or duplicated logic.
Good fit for your team
- You need trusted reporting data in one place
- Your SQL is hard to maintain or review
- Pipeline work touches several Google Cloud services
- You want support for an active migration or cleanup
- You need specialists who can work in English with Frankfurt stakeholders
Frequently asked questions
Not sure where to start with Google BigQuery? These answers cover the essentials.
Google BigQuery is used for analytics, reporting, and data exploration on large data sets. Teams store structured event data, run SQL, and feed BI dashboards without managing server capacity. It is a strong fit when many users need fast answers from the same warehouse.
BigQuery is serverless, so the team does not manage machines, storage layout, or most scaling tasks. That makes it very different from many traditional warehouses that need more manual administration. Companies still need good modelling and query discipline, but the operational load is much lighter.
Bring in a Google BigQuery specialist when the warehouse needs a redesign, a migration, or urgent performance cleanup. It is also useful when reporting logic has spread across many queries and nobody owns it clearly. Freelance help works well for focused delivery without long ramp-up.
A strong BigQuery professional usually also knows SQL, data modelling, and at least one pipeline tool. In Google Cloud projects, that often includes Cloud Storage, Dataflow, Pub/Sub, dbt, Looker, and IAM. Knowledge of partitioning and clustering is also important.
The right depth depends on the task. Simple dashboard support may need a specialist with clean SQL and reporting experience, while a migration or enterprise warehouse design needs someone who has handled schema design, security, and performance tuning. The key is proven delivery on similar work.
Many Google BigQuery experts can work remotely because most tasks happen in SQL, cloud consoles, and collaboration tools. On-site time in Frankfurt can help when stakeholders want workshop sessions for modelling, access, or reporting priorities. Mixed setups are common and often practical.
Look for clear warehouse design, readable SQL, and an ability to explain trade-offs in plain words. A strong BigQuery specialist also documents transformations, keeps access rules tight, and can show how they reduced scan volume or simplified messy logic. Ask for examples close to your use case.
Google BigQuery is the product name, while BQ is a common shorthand people use in conversation and searches. BigQuery SQL refers to the SQL dialect used to query it. When reviewing profiles, check that the specialist has real warehouse and query experience, not just familiarity with the name.
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, 67% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Google BigQuery in their recent projects have 18 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 Google BigQuery in their recent projects are English (100%), German (86%), and Arabic (14%).
The most common industries among freelancers in Frankfurt, Germany who have used Google BigQuery in their recent projects are Professional Services (71%), Banking and Finance (57%), and Information Technology (57%).
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 (86%), and Project Management (71%).
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
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Philipp Thomaschewski
FRATCH CEO
