Google BigQuery Experts in Hamburg
in minutes from over 15,000 CVs with the power of AI.Hire experts who design BigQuery data models, tune SQL queries, and build reliable pipelines on Google Cloud. They handle reporting layers, warehouse migrations, and cost-aware analytics work with vetted, available freelancers.
Meet FRATCH Experts in Hamburg, who have recently used Google BigQuery
Marcus Bonfigt
Last position:
Data Engineer at Deutsche Bahn AG via Scoore GmbH
- Development of ETL pipelines with Talend (7/ Enterprise)
- Development/adaptation of database schema/database functions (PostgreSQL)
- Development of GIT CI pipelines
Technologies: Talend Enterprise, Git, PostgreSQL, Dbeaver, SQL, PL-SQL, Liquibase
Marc Matt
Last position:
Freelance Data Specialist at BrightlySoftware – A Siemens Company
- Migration of customer data from a private cloud to AWS
- Optimizing data transformation jobs and migration from Talend to AWS Glue
- Automation of all migration steps
- Used technologies: AWS, Python, Lambda, CloudFormation, SQLServer, AWS Stepfunctions, Glue, PySpark
Thilo Schröder
Last position:
Founder / Marketing Analytics Consultant at thiloschroeder.com
I help marketing teams and leaders get from data to decision - understanding their business model, defining what to measure, and building the tracking and reporting infrastructure to make it happen.
- Built and optimized analytics setups for 60+ clients across D2C, E-Commerce, SaaS, LeadGen and Subscription businesses in my career - from early-stage startups to enterprises
- Core focus: GA4 & GTM tracking architecture (incl. server-side), consent-compliant measurement, marketing dashboards (Power BI) and attribution
- Trusted long-term partner: most client relationships extend well beyond the initial project into ongoing strategic and operational support (NPS > 9.4)
- Regularly act as analytical sparring partner for marketing leads and C-level stakeholders, bridging the gap between data, tech and business strategy
Shahram Djafari
Last position:
IT Project Manager & Consultant (Concept and implementation of EU regulations) at Witt Group / Otto Group
- Planning, steering, and monitoring the Corporate Responsibility Tech Enablement project for IT
- Concept and implementation of the EUDR (EU Deforestation Regulation)
- Concept and implementation of the Eco-Design Regulation
- Continued support of projects within the Corporate Responsibility strategy
- Definition and review of guidelines (e.g. governance, success metrics) and, if needed, analysis of issues and their solutions
- Overall project management, marketing, communication, and quality assurance for the projects
- Creation of the project plan including timeline/roadmap, budget, and resources
- Ensuring compliance with budget and deadlines
- Defining guidelines for project control, methods, and priorities
- Planning and tracking resources and effort, also together with other IT teams
- Evaluation of projects and preparation of results (reporting to management)
- Identification and reduction of risks
- Regular communication with stakeholders
- Steering internal and external stakeholders and service providers (Jira, Confluence, backlog management, task tracking, SharePoint, MS 365 platform etc.)
- Development of standards and process automation
Label: Azure Cloud, Jira, Confluence, Power BI, SAP BW, AWS, Miro, Bee360, Draw.io, SharePoint, MS 365 platform, Trello etc.
Jan Hoppe
Last position:
Founder & Chief Product Officer at ganzheit
- Founded a bootstrapped AI-native startup building digital tools for psychotherapists
- Empowered therapists to enhance therapeutic work without disrupting human connection
- Assembled founding team and reached product-market fit with LLM-powered supervision for psychotherapists
- Integrated generative AI stack, including agentic coding, evaluations, tracing, and prompt management
Aravind Sasi Nair Purayath
Last position:
AI – Data Specialist at Emirates Islamic Bank
- Architected and deployed LLM based AI agents, RAG pipelines, and vector search solutions for decision support across retail banking department.
- Developed and shipped robust AI pipelines with guardrails, error handling, monitoring, and fallback logic ensuring high reliability outcomes and compliance with data privacy.
- Developed and deployed ML models to identify transactional anomalies, improving fraud detection and risk assessment in high-volume datasets for credit risk modelling.
- Built, evaluated and fine-tuned ML models to generate propensity scores for customers used to drive personalized targeting campaigns for credit cards and personal finance/loan products.
- Developed an NLP pipeline using BERT embeddings and spaCy NER for SMS/email analysis and customer query logs.
- Trained machine learning models using Isolation Forest to classify user behaviour and detect anomalies.
- Extracted, cleaned, enriched and feature engineered datasets from different sources to build feature stores that powered ML model training.
- Led development of dashboards using Power BI, Grafana, and Prometheus to monitor model performances, KPI trends, and marketing metrics.
- Built multi-touch attribution models using logistic regression and time-decay weights to evaluate lead quality.
- Developed scalable ETL pipelines from CRM, T24, SAP, and ERP, supporting millions of monthly transactions.
- Integrated testing and CI/CD workflows for robust data pipeline deployment.
Discover over 15,000 top freelancers
Statistics of experts using Google BigQuery
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 13 years)
Position duration
2.3 years (Germany: 2.2 years)
Positions per freelancer
14 (Germany: 9)
Top business areas
Business Intelligence, Information Technology, Marketing
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
67%
Certifications per freelancer
4 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (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 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 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 work
Google BigQuery is a cloud data warehouse for fast analysis on large data sets. Companies use it for dashboards, ad hoc SQL, reporting layers, and batch analytics without managing servers. It fits teams that need clean access to data from many sources.
Common use cases
- Centralize data from product, finance, and marketing systems
- Build BI layers for Looker, Tableau, or similar tools
- Run scheduled reporting and exploratory SQL analysis
- Support migration from legacy warehouses or data marts
Tooling and stack
BigQuery is often used with Google Cloud Storage, Dataflow, Pub/Sub, dbt, Airflow, and Looker. Strong specialists know partitioning, clustering, scheduled queries, views, and service accounts. They also work well with schema design, access control, and query optimization.
When freelancers help
Companies usually bring in freelance expertise when a warehouse is slow, expensive, or poorly structured. They also need support for migrations, broken dashboards, new data models, and governance reviews. In Hamburg, this often comes up in retail, logistics, media, and other data-heavy teams that need short, focused help.
What strong experts deliver
A good specialist writes clear SQL, chooses the right table design, and keeps queries predictable. They understand how to manage nested data, incremental loads, and shared datasets across teams. They also document decisions so internal teams can maintain the setup after handover.
Signs you need one
- Queries are slow or hard to maintain
- Costs are rising without clear value
- Data quality issues keep showing up in reports
- You are moving from on-premise analytics to BigQuery
- Your team needs support with governance or permissions
Frequently asked questions
What clients ask us most about Google BigQuery — answered in short.
Google BigQuery is used for cloud analytics, reporting, and large-scale SQL exploration. Teams rely on it to combine data from many systems, feed BI tools, and keep a central warehouse for business reporting. It is a strong fit when fast querying matters more than managing infrastructure.
BigQuery is a product inside Google Cloud, often called GCP. It is a managed data warehouse, not the whole cloud stack. People sometimes search for Google BigQuery, BigQuery, or simply Google Cloud analytics when they mean the same service.
A company should bring in a Google BigQuery specialist when queries are slow, models are messy, or migrations are stuck. Specialists also help when teams need better cost control, cleaner permissions, or a more reliable reporting layer. Short freelance support is common when internal teams are busy but the warehouse still needs work.
A strong BigQuery expert usually knows SQL very well and understands dbt, Airflow, Dataflow, or Looker. They should also be comfortable with data modeling, IAM permissions, and cloud storage concepts. That mix helps them build pipelines and keep analytics stable.
BigQuery is often chosen for its tight fit with Google Cloud and its serverless operating model. Snowflake and Redshift can be better for different stack choices or governance patterns, but the best option depends on existing tools and team habits. A good specialist can explain the trade-offs in your context.
A small Google BigQuery cleanup may only need a specialist who can fix SQL, permissions, and table layout. A migration, multi-team warehouse, or governance setup needs deeper experience with modeling, orchestration, and performance tuning. The bigger the data estate, the more important proven delivery becomes.
Yes, most BigQuery work can be done remotely because it centers on SQL, cloud access, and documentation. For Hamburg teams, remote collaboration is common, while on-site sessions can help with discovery, stakeholder alignment, or migration planning. Clear communication in English is usually enough, though German can help in local business settings.
Look for a Google BigQuery specialist who can explain design choices, not just write queries. Good signs are clear SQL, sensible partitioning, secure access handling, and documentation that others can follow. Ask for examples of migrations, performance fixes, or reporting setups similar to your own work.
The average hourly rate of freelancers in Hamburg, Germany who have used Google BigQuery in their recent projects is 96 €, which corresponds to a daily rate of about 769 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Google BigQuery in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Hamburg, Germany who have used Google BigQuery in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Hamburg, Germany who have used Google BigQuery in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Hamburg, Germany who have used Google BigQuery in their recent projects are Information Technology (100%), Retail (83%), and Banking and Finance (67%).
The most common business areas among freelancers in Hamburg, Germany who have used Google BigQuery in their recent projects are Business Intelligence (100%), Information Technology (100%), and Marketing (83%).
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.
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Philipp Thomaschewski
FRATCH CEO
