dbt Experts in Berlin
, matched in minutes from over 15,000 CVs with the power of AIHire experts who transform raw warehouse data into tested, documented models, connect dbt to modern analytics stacks, and improve CI workflows. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Berlin, who have recently used dbt
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company's BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment featuring a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic into a central semantic model – eliminating redundant files, manual data transfers, and inconsistent metrics between departments
- Forecasting & planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enables rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure, and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing, and consistent modeling using star schema, DAX, and Power Query
- Incident & anomaly analysis: Identification, investigation, and explanation of data anomalies, including root-cause analysis and concrete recommendations for action
- AI solution architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Creation of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops, and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email distribution of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization, and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
Alexander Z.
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Nitin B.
Last position:
Financial Analytics Lead at Independent Consultant
Led FP&A tech transformation for a 9-figure business – from resolving legacy technical debt to leading AI-native EPM implementation
- Driving end-to-end FP&A transformation, from architecture redesign through EPM tool selection to rollout
- Ran evaluation of 12+ EPM platforms, from vendor negotiation to selection framework tied to long-term planning
- Diagnosed constraints in financial planning architecture, presented findings to the CFO, and secured executive mandate to redesign FP&A infrastructure from the ground up
Anshita S.
Last position:
Business Intelligence Developer and Data Analyst at Deloitte Consulting
Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.
- Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
- Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
- Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
- Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
- BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.
Sejal V.
Last position:
Data & ML Engineering at Consulting
- Fractional leadership; consulting growth-stage startups and scale-ups on data strategy, ML products, and platform foundations
- Building decisioning systems for growth, personalization, & product experimentation, across e-Commerce, Digital Health, Energy, and Logistics
- Exploring Agentic AI & LLM-based tooling for production readiness patterns
Sander O.
Last position:
Interim Head of Contract Management at Enpal
- Directed the contracts management function for Europe's largest renewable energy portfolio, 10 FTE
- Implemented process automations by architecting scalable, data-driven workflows leveraging AI and traditional automation
Michael B.
Last position:
Product Analytics Consultant - Trust & Safety at Kleinanzeigen
- Detecting fraud patterns by implementing aggressive anti-fraud rules while maintaining acceptable false positive rates, reducing fraud exposure to users by up to 80%
- Supporting ideation and roll-out of new trust and safety features to block fraudulent activity and increase user awareness for fraud
- Supporting Product, Development and Customer Support with BI reports and further guidance to identify and fight fraud and policy violations
Tobias L.
Last position:
Data Engineer at unitb consulting GmbH
Tasks: Design and operation of end-to-end cloud data platforms for enterprise clients in publishing and finance, including infrastructure automation, pipeline development, monitoring, and data quality.
Activities:
- Built multi-layer data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP
- Fully automated cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)
- Developed automated data pipelines with Python, dbt, and GCP services for different data sources
- Built monitoring and alerting systems for real-time platform monitoring
- Implemented data versioning and quality checks at every layer
- Designed automated test and deployment pipelines in GitLab and Bitbucket
Achievements:
- 2× production data processing capacity, reduced spike response time from minutes to ≤15 s, server errors ≈ 0
- Replaced 3,000 lines of manual configuration with a reusable automation module for 7 customer domains, configuration errors to 0
- Delivered a complete end-to-end data platform at ~€10/month infrastructure cost
- Migrated 7 database tables with 0 downstream issues
- Removed 100% exposed credentials, eliminated external vendor dependency
- Delivered integration of 3 teams in 1 sprint
Hamza K.
Last position:
Academic Research Contributor in Health Sector (Volunteer)
- Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
- Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.
Enrico G.
Last position:
Freelance Software & Data/AI Engineer at Freiberuflicher Software & Data/AI Engineer
- Lecturer for the GenAI Track at the Master School Institute of Technology
- Development of a full-stack AI application (React + Python/FastAPI) for automated supplier product import with intelligent column and category classification (4-layer hierarchical) including human-in-the-loop validation
Mojtaba P.
Last position:
Head of Data Analytics & BI at Urlaubstracker GmbH
- Owned the analytics stack end-to-end across data modeling, cloud setup, access control, cost management, and stakeholder-facing dashboards.
- Built and maintained large-scale data workflows across 20+ APIs and 100M+ rows using GCP, BigQuery, dbt, and Spark.
- Supported product, marketing, finance, and commercial teams with KPI frameworks, reporting layers, and decision support.
- Introduced automation and AI-assisted analytics use cases to improve insight generation and internal workflows.
Santina W.
Last position:
Business Analyst & BI Strategist - Comparison Portal at dataweys (self-employed)
- Assessment of the existing reporting landscape and strategic bundling of needs
- Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
- Building and maintaining data pipelines
Stack: Metabase · ClickHouse · Appsmith · Airflow
Louis G.
Last position:
Freelance Solutions Architect and Machine Learning Engineer at Self-employed
- Develop and demonstrate solutions using GenAI software like langchain, vercel ai sdk, copilotkit
- Work with customers to understand their challenges and provide the best solutions based on open-source data products
- Build RAG and GraphRAG solutions using Neo4j, lancedb, and Postgres
- Deploy a LLMOps platform using kubernetes, terraform, helmfile, Arize phoenix, mlflow
- Architect and build data pipelines using dbt, Trino, Spark, Iceberg, Airflow, ArgoCD, terraform, kubernetes
- Delivered user-centred technical strategy for Agriculture 4.0 and precision livestock farming, helping my client secure funding from Bpifrance
- Delivered a prospecting tool for a leading French solar carport installer, using geospatial computing (GIS), speeding up the sales process
- Built digital twin architecture for solar carports and EV chargers, making real-time monitoring and smart charging possible
Jana B.
Last position:
Senior Business Analyst at Eurofiber Netz GmbH
- Responsible for cross-department requirements management in collaboration with business units, IT, and external vendors
- Gathering, structuring, consolidating, and prioritizing business requirements from various company departments
- Modeling and documenting business processes using BPMN as a basis for transparency and further development of existing solutions
- Analyzing existing business processes and identifying optimization opportunities
- Refining business requirements with regard to feasibility, cost-effectiveness, and impact on adjacent processes
- Facilitating business alignment sessions with relevant stakeholders to refine requirements and support decision-making
- Creating actionable business concepts for IT development
- Supporting implementation, testing, and rollout of new or adjusted solutions
- Assisting in standardizing requirements and processes to build a reliable decision-making foundation
Julien L.
Last position:
MLOps Engineer at SAMGEN
- Building and scaling cloud infrastructure on GCP to support a SaaS platform for industrial clients
- Designing and implementing a data-driven DevOps pipeline for streamlined deployment and CI/CD workflows
- Collaborating with Data Science team on MLOps workflow to automate integrated retraining
Discover over 15,000 top freelancers
Statistics of experts using dbt
Aggregated from the professional profiles of matched freelancers.
Experience
12 years (Germany: 14 years)
Position duration
2 years (Germany: 1.8 years)
Positions per freelancer
7 (Germany: 10)
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
54% (Germany: 63%)
Doctorate
8%
Certifications per freelancer
3 (Germany: 4)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 99%)
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 Berlin 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 Berlin using dbt
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.
dbt 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 (96%)
- Professional Services (52%)
- Banking and Finance (48%)
- Retail (44%)
- Education (36%)
- Energy (36%)
- Automotive (32%)
- Healthcare (28%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What dbt does
dbt, short for data build tool, is a transformation framework for analytics engineering. It lets teams turn warehouse data into modular SQL models that are tested, documented, version-controlled and ready for reporting. The transformation runs inside the data warehouse rather than in a separate processing layer.
Models and workflows
dbt specialists design model layers that move from raw sources to clean staging data, reusable intermediate logic and business-ready marts. They define dependencies so dbt can build models in the correct order and make complex transformations easier to review.
- Create modular SQL models and source definitions
- Add tests for uniqueness, relationships and accepted values
- Generate documentation and lineage views
- Configure incremental models and snapshots
Ecosystem and tooling
dbt works with warehouses and query engines such as Snowflake, BigQuery, Databricks, Redshift and PostgreSQL. Strong professionals also work with Git, pull requests, CI pipelines, orchestration tools, semantic layers and BI systems such as Looker, Tableau or Power BI. The dbt Cloud environment can support scheduling, job monitoring and team collaboration.
When companies need help
Companies bring in freelance dbt expertise when a warehouse has become difficult to maintain, reporting logic is duplicated or a migration needs a reliable transformation layer. Berlin companies may also need specialists who can collaborate remotely across distributed teams or work on site when close coordination with analytics and product groups matters.
- Establish a maintainable project structure
- Migrate legacy SQL and reporting logic
- Improve build speed, tests and deployment checks
- Prepare documentation for wider business use
Choosing a specialist
Look for professionals who can explain both SQL logic and the business meaning behind each model. They should understand data contracts, testing strategy, documentation, performance and access controls, not just write isolated queries. Experience with the company’s warehouse, orchestration setup and BI layer is a strong practical advantage.
What good delivery includes
A well-run dbt project leaves behind readable models, clear naming conventions, useful tests and dependable documentation. A capable specialist also introduces review standards, handles schema changes carefully and makes failures easy to diagnose. The result is a transformation layer that teams can extend without losing trust in their data.
Frequently asked questions
Key details about dbt, drawn from the questions we get asked most.
dbt is used to transform raw warehouse data into tested, documented and reusable datasets for analytics and reporting. It manages SQL-based transformation workflows, model dependencies, documentation and data quality checks.
dbt focuses mainly on transforming data that is already in a warehouse or lakehouse. Traditional ETL tools often extract and load data as well, while dbt emphasizes modular SQL, version control, testing and collaboration around transformation logic.
A strong dbt professional usually brings advanced SQL, data warehouse knowledge and Git-based collaboration. Familiarity with orchestration, CI pipelines, Python, BI tools and cloud platforms helps when the work spans the full analytics workflow.
The right level depends on the assignment rather than a fixed number of years. A focused model migration may need a specialist who can deliver independently, while a company-wide redesign calls for experience with architecture, governance, deployment and stakeholder communication.
Yes, dbt work is well suited to remote collaboration because models, tests and documentation are managed through shared repositories and cloud environments. For Berlin-based teams, on-site workshops can still help with warehouse decisions, reporting definitions and adoption.
dbt Cloud can be useful when a team wants managed scheduling, job monitoring, documentation access and collaboration features in one environment. Teams may prefer dbt Core when they need more control over hosting, deployment and infrastructure choices.
Review whether the dbt project has clear model layers, reliable tests, useful documentation and understandable lineage. Ask the specialist to explain failure handling, incremental logic, performance choices and how changes are reviewed before release.
The dbt ecosystem includes dbt Core, dbt Cloud, warehouse adapters, packages and integrations with orchestration and BI tools. Freelancers should understand how SQL models, project configuration, tests, macros and deployment workflows fit together in the client’s stack.
The average hourly rate of freelancers in Berlin, Germany who have used dbt in their recent projects is 81 €, which corresponds to a daily rate of about 646 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used dbt in their recent projects, 100% hold at least a Bachelor's degree, 54% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Berlin, Germany who have used dbt in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Berlin, Germany who have used dbt in their recent projects are German (100%), English (100%), and Spanish (16%).
The most common industries among freelancers in Berlin, Germany who have used dbt in their recent projects are Information Technology (96%), Professional Services (52%), and Banking and Finance (48%).
The most common business areas among freelancers in Berlin, Germany who have used dbt in their recent projects are Business Intelligence (96%), Information Technology (96%), and Product Development (72%).
Main locations of FRATCH Experts, who have recently used dbt
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 Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
