Data Engineer (Dagster, dbt-core, Python)

Project overview

Data Engineer (Dagster, dbt-core, Python) 95% remote

For a project in the finance sector, we are looking for a Data Engineer with experience in Dagster, dbt-core, and Python.

Project Information

• Location: Berlin / 95% Remote
• Start: 01.12.2026
• Duration: 01.12.2026 – 31.12.2027
• Industry: Finance

Responsibilities

Consulting on the structuring and implementation of data pipelines with Dagster, dbt-core, and Python, including dagster-dbt, embedded-elt with dlt, automated deployment on Kubernetes, development of dagster components, as well as code reviews and documentation.

Mandatory Requirements

Desired Requirements

Technologies & Methods

Dagster, dbt-core, Python, Data Engineering, AWS, Airflow, Kubernetes, dlt, CI/CD, Code Reviews, Documentation, Agile, SAFe, IAPM/CAPM, PMI Agile Certified Practitioner

The mund consulting team looks forward to receiving your application with CV & hourly rate and will gladly support you in the further process.

Best regards

The Recruiting Team

[contact removed]

• Experience in building and implementing complex dagster projects, especially dagster-dbt and embedded-elt with dlt ( 5 years of experience)
• Consulting on the use and implementation of features, including documentation in Data Engineering (> 5 years of experience)
• Experience with complex dbt projects with dbt-core (3 references)
• Experience with projects on AWS infrastructure (1 reference)
• Experience in using containerized open-source orchestrators in building and operating data pipelines by development teams (Airflow or dagster) (1 reference)
• Know-how in agile project management e.g. IAPM/CAPM, PMI Agile Certified Practitioner, Scaled Agile Framework

Project details

• Start: flexible
• Duration: 202 PT
• Remote: hybrid
• Location: Berlin, Deutschland, DE
• Languages: German