Dagster Expert in Germany
in minutes from over 15,000 CVs with the power of AI.Hire experts who design asset-based data pipelines, migrate legacy Airflow DAGs to modern orchestration platforms, and integrate software-defined assets with dbt and Snowflake, matched precisely with vetted, available freelance professionals.
Meet FRATCH Experts in Germany, who have recently used Dagster
Daniel Sedlack
Last position:
Senior Software Engineer at energielenker solutions GmbH
- Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
- Defined time-based and dependency-based jobs
- Deployed to managed Kubernetes clusters using Helm
- Integrated InfluxDB Cloud
- Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
- Developed dashboards and visualizations in Grafana
- Developed unit tests with mocking using pytest
- Set up a CI/CD pipeline in GitLab
Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud
Can Savastürk
Last position:
Platform Engineer at ClimateChoice
In a lean, execution-focused environment, I took ownership beyond a narrow engineering lane, shaping and implementing systems across backend, data, and infrastructure. Partnered directly with the three founders in a fast-moving, high-stakes environment, turning strategic priorities into concrete technical decisions and production outcomes.
- Owned core platform development across backend (Django/Rest Framework/Postgres), ETL (Python/Dagster), infrastructure (Terraform/Kubernetes/AWS), and frontend (typescript/react) for a climate-tech SaaS product, driving continuous cross-stack development across five repositories from October 2021 to this day.
- Architected and owned a standalone internal Python scoring framework for CRC assessments, using YAML-driven rules and metaprogramming to enable non-technical users to define complex evaluation logic without hardcoded implementations.
- Built and stabilized ETL and scraping pipelines using Dagster and Scrapfly, improving document ingestion, tagging, retry behavior, deployment flow, and operational resilience.
- Contributed to platform modernization and reliability through Django/Python upgrades, Postgres/RDS and EKS changes, CDN/TLS updates, test and performance improvements, and observability hardening.
- Drove backend engineering for product features, translating requirements into technical specifications, API contracts, data structures, and scalable implementation plans.
Santina Wey
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
Stephan Baier
Last position:
Freelance Data Scientist at Baier Data & AI Consulting
Jorge Machado
Last position:
Data Architect at Deutsche Bahn
- Design and provide best practices on data modeling for dbt, including changing dimensions, late arriving data handling, and testing
- Design the ingestion flow from other systems into S3 and Redshift
- Design and implement new partitions for Dagster and incremental loading with dbt
- Map business requirements to technical architectures
- Instruct junior team members
Axel Bock
Last position:
Project lead for introducing Okta as an IAM system at Fritz Schäger GmbH & Co KG
- Project management
- Building an internal IAM team
- Okta
- Project management
- IAM processes
Maurizio Fleischer
Last position:
Python Software Developer at Schönhofer Sales and Engineering GmbH
- Implemented a command line interface (CLI) for integration of REST APIs of various microservices for end users
- Centralized and simplified interaction with services through the CLI
- Implemented a REST microservice for custom data schemas based on an API-first approach
- Developed event-driven control with RabbitMQ to connect to other services
- Deployed services using Docker and Kubernetes and extended the CLI
- Managed complexity and data volume handling through the microservice
Jonas Krauss
Last position:
Business Intelligence Team Lead at CHI Deutschland Cargo Handling GmbH
- Built a new BI team, Snowflake data warehouse and BI infrastructure from scratch
- Lead the BI team to drive data-driven decision-making across cargo handling operations.
- Design and maintain enterprise data solutions for performance tracking, forecasting, and operational efficiency.
- Collaborate with stakeholders to align BI strategy with business objectives in a high-throughput logistics environment.
Discover over 15,000 top freelancers
Statistics of experts using Dagster
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
1.5 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Operations
Bachelor's degree or higher
100%
Master's degree or higher
50%
Doctorate
33%
Certifications per freelancer
5
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 Germany 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 Germany using Dagster
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
Modern Data Orchestration with Dagster
Dagster has revolutionized how modern data platforms are built and maintained. Unlike legacy schedulers that only track task completion, this orchestrator centers the entire workflow around data assets. Freelance specialists use it to define clear boundaries between compute and storage, making data platforms exceptionally reliable.
Core Capabilities of Dagster Specialists
Experienced professionals utilize the platform to replace brittle scripting with robust, testable software engineering practices. They ensure your data pipeline behaves like production-grade software.
- Designing declarative data pipelines using software-defined assets
- Configuring isolated execution environments with Docker and Kubernetes
- Setting up customized I/O managers for secure data transitions
- Integrating dbt models and Spark jobs into unified orchestrations
Integrating the Data Ecosystem
A primary task for external specialists is linking orchestrators with existing data lakes, warehouses, and transformation engines. They configure seamless connections to Snowflake, BigQuery, and Databricks. By integrating tools like Airbyte for ingestion and dbt for modeling, they build unified control planes that track data lineage from source to dashboard.
Transitioning from Legacy Orchestrators
Many companies face high maintenance costs with older systems like Apache Airflow. Bringing in a dedicated expert accelerates the transition to declarative, asset-based workflows. This migration minimizes pipeline downtime, simplifies debugging, and allows teams to catch data quality issues before they reach downstream reporting layers.
Freelance Collaboration in Germany
Data platforms in Germany operate under strict compliance frameworks like GDPR, requiring local or highly aligned expertise. Freelancers active in the German market design deployment patterns that keep sensitive compute tasks within secure European zones. Whether collaborating remotely or joining hybrid teams in major tech hubs, these specialists bring clear communication and structured agile practices.
Identifying Top-Tier Pipeline Experts
Strong candidates demonstrate a deep understanding of software design patterns rather than just configuration files. They prioritize local testing capabilities, continuous integration pipelines, and structured logging. By choosing professionals with a strong background in Python and cloud infrastructure, companies ensure their data platforms remain scalable and easy to hand over.
Frequently asked questions
What clients ask us most about Dagster — answered in short.
Transitioning to Dagster allows teams to shift from task-based orchestration to software-defined assets. This approach makes pipelines easier to test, track, and maintain because the orchestrator understands the actual data assets being produced rather than just the execution order of arbitrary scripts.
While legacy tools focus on scheduling tasks, Dagster models the data itself as the central unit of orchestration. It provides native support for local testing, versioned data assets, and out-of-the-box UI tooling that tracks data lineage, which significantly reduces the debugging time compared to older orchestrators.
A typical Dagster deployment integrates deeply with transformation tools like dbt, ingestion engines like Airbyte or Fivetran, and cloud data warehouses like Snowflake and BigQuery. Experts also frequently run the orchestrator on Kubernetes using Helm charts to manage scaling.
Yes, one of the greatest strengths of Dagster is its ability to run pipelines locally without complex infrastructure. This allows freelance specialists to build, mock, and validate pipeline runs on their local machines before deploying changes to staging or production environments.
Most Dagster professionals in Germany work fully remote or in a hybrid model, aligning seamlessly with agile engineering teams across major tech hubs like Berlin and Munich. They typically hold regular virtual syncs, align with local working hours, and use modern collaboration tools to manage pipeline development.
Because Dagster relies on software-defined assets, it gives data teams precise lineage tracking over sensitive data. Freelance experts utilize this lineage to ensure that personally identifiable information is isolated, properly handled, and compliant with strict European data protection regulations.
Dagster is a highly programmatic framework, so a Dagster specialist must have advanced Python development skills. They need to understand software engineering principles like unit testing, type hinting, and dependency injection to build clean, maintainable pipeline configurations.
A senior Dagster expert stands out by their focus on testing and continuous integration rather than just pipeline execution. They should be able to demonstrate experience writing unit tests for pipelines, designing custom metadata schemas, and configuring secure storage backends.
The average hourly rate of freelancers in Germany who have used Dagster in their recent projects is 102 €, which corresponds to a daily rate of about 812 € based on an 8-hour working day.
Of the freelancers in Germany who have used Dagster in their recent projects, 100% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Germany who have used Dagster in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Germany who have used Dagster in their recent projects are German (100%), English (100%), and Spanish (13%).
The most common industries among freelancers in Germany who have used Dagster in their recent projects are Information Technology (100%), Banking and Finance (50%), and Professional Services (50%).
The most common business areas among freelancers in Germany who have used Dagster in their recent projects are Information Technology (100%), Product Development (88%), and Business Intelligence (75%).
Main locations of FRATCH Experts, who have recently used Dagster
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 Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
