Required skills
Languages: German
Job description
Seeking a DAGSTER Expert with strong Python and Data Engineering skills for a hybrid role in Frankfurt. The position involves advising on and implementing data pipelines using Dagster, dbt, and AWS, with hands-on coding and CI/CD deployment.
Project overview
Westhouse is one of the leading recruitment companies for the placement of highly qualified specialists from the entire IT lifecycle and engineering sector.
For our client, we are currently looking for a
DAGSTER Expert
Framework Information
Reference:180847
Responsibilities
Interested?
Interested? We look forward to receiving your meaningful CV in electronic form.
Your contact person:
Tobias Gollmann
*@*.com
*
- Consulting on structuring the implementation of data pipelines with the Python open-source library Dagster regarding the use and implementation of available features (e.g. sensors, partitions etc.) including documentation (including "hands-on" support by contributing program code)
- Consulting on the use of Dagster integrations, especially Dagster-dbt, embedded-elt with dlt (including "hands-on" support by contributing program code)
- Implementation of automated deployment of Dagster code on a Kubernetes cluster (CI/CD) Development of Dagster components such as Resources, Assets, Sensors etc. according to customer requirements including documentation
- Performing code reviews
- Participation in the coordinating meetings of the project developers (Planning, Dailies/Scrums, Retros)
Project details
Frankfurt (10 days) and Remote (20 days)
Start Date:01.12.2026 (ASAP)
Working Hours:Full-time (100%)
31.12.2027 + Option
Languages:German
Your Qualifications
- Dagster expert experience in building and implementing complex Dagster projects, especially Dagster-dbt, embedded-elt with dlt (Junior (= 3 years experience))
- Python expert
- Consulting and structuring the implementation of data pipelines (Senior (> 5 years experience))
- Data Engineering expert
- Consulting regarding the use and implementation of features including documentation (Senior (> 5 years experience))
- Experience with complex dbt projects with dbt-core (Number of references: 3)
- Experience with projects on AWS infrastructure
- Experience in using containerized open-source orchestrators in building and operating data pipelines by developer teams (Airflow or Dagster)
- Know-how in agile project management e.g. IAPM/CAPM, PMI Agile Certified Practitioner, Scaled Agile Framework
- Experiences with complex dbt projects with dbt-core
- Start: 2026-12
- Duration: 13 Monate
- Remote: hybrid
- Location: Frankfurt (10 Tage) und Remote (202 Tage), Deutschland, DE
- Languages: German
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