Google BigQuery Experts in Hamburg
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Meet FRATCH Experts in Hamburg, who have recently used Google BigQuery
Marcus B.
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 M.
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 S.
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 D.
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 H.
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 S.
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: 2.1 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% (Germany: 66%)
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 19 Sep 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 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.
- Information Technology (100%)
- Retail (83%)
- Banking and Finance (67%)
- Advertising (50%)
- Food and Beverage (50%)
- Healthcare (50%)
- Professional Services (50%)
- Automotive (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
BigQuery basics
Google BigQuery is a serverless data warehouse for analytics on large and fast-moving datasets. Teams use it to run SQL queries, build reporting layers, and centralize data from apps, events, and business systems. It fits well when storage, compute, and query work need to stay easy to manage.
Common work
- Data warehouse setup and table design
- SQL queries for dashboards and analysis
- Batch and streaming ingestion
- Scheduled queries and data transforms
- Cost-aware query tuning
Ecosystem fit
BigQuery often sits with Google Cloud Storage, Dataflow, Pub/Sub, Looker, and dbt. Strong specialists know how to move data through that stack without breaking schemas, lineage, or refresh logic. They also keep an eye on partitioning, clustering, and access control.
When to bring in help
Companies bring in freelance expertise when existing reporting is slow, pipelines are messy, or a warehouse redesign is needed. In Hamburg, that is common for media, logistics, and commerce teams that need dependable analytics across many sources. Remote work is often enough, but local coordination can help during discovery and handover.
What good specialists do
A strong BigQuery professional writes clear SQL, understands data modeling, and can explain trade-offs in storage, performance, and governance. They test joins, watch for expensive scans, and structure datasets so analysts can trust the numbers. They also work well with engineers and business users.
Delivery outcomes
Typical deliverables include warehouse migrations, BI-ready datasets, transformation logic, and documentation for ongoing maintenance. BigQuery is also used for event analytics, marketing attribution, product usage analysis, and operational reporting. Good freelance support leaves a setup that is easy to extend and simple to own.
Frequently asked questions
What clients ask us most about Google BigQuery — answered in short.
Google BigQuery is used for cloud analytics, reporting, and warehousing when teams need to query large datasets with SQL. It is a common choice for central dashboards, product analytics, marketing reporting, and data exploration. Many teams use it as the main store for business-ready data in Google Cloud.
BigQuery is one service inside Google Cloud Platform, often shortened to GCP. It works with storage, ingestion, orchestration, and BI tools, but it is not the whole cloud stack. A freelancer should understand where BigQuery ends and the surrounding Google Cloud services begin.
Google BigQuery is often chosen for its serverless setup and close fit with Google Cloud tools. Snowflake is usually weighed for broader multi-cloud patterns, while Redshift is common in AWS-heavy environments. The right choice depends on your cloud footprint, query patterns, and how much operational work you want to manage.
A strong BigQuery specialist should know SQL very well, plus data modeling, ETL or ELT design, and basic cloud security. Experience with dbt, Looker, Dataflow, Pub/Sub, or Airflow is often useful. Good communication matters too, because the work affects both analysts and technical teams.
Bring in a Google BigQuery professional when you are migrating from spreadsheets or an old warehouse, rebuilding slow reporting, or cleaning up complex pipelines. The same applies when schemas keep changing or query costs are hard to control. For small ad hoc dashboards, lighter support may be enough, but platform-level changes need deeper expertise.
Yes. Most BigQuery work can be done remotely, because the main tasks are data modeling, SQL, pipeline design, and review sessions. In Hamburg, on-site time can still help at the start of a project or when teams want closer alignment on data definitions and handover.
Look for a Google BigQuery specialist who can explain table design, partitioning, clustering, and query cost trade-offs in plain language. Ask for examples of warehouse migrations, BI-ready layers, and fixes for slow or expensive queries. Strong professionals also document decisions so the setup can be maintained after the project ends.
Freelancers working with BigQuery usually spend time on SQL, data quality checks, pipeline logic, and stakeholder feedback. The best projects have clear source systems, access to business context, and agreed definitions for key metrics. When those parts are missing, the first task is often to clean up the data model before building new reports.
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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