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Senior Data Engineer – Focus: Dagster & Python / Cloud

Original title: Senior Data Engineer (m/w/d) – Fokus: Dagster & Python / Cloud

Randstad Professional · 10178 Berlin, Germany · Senior

  • 10178 Berlin, Germany
  • 31.12.2027
  • German

Indexed (today) · refreshed constantly

Start
01.12.2026
Duration
31.12.2027
Contract
Freelance / B2B
Seniority
Senior
Reference
C01360890

Required skills

Nice to have:dltAirflow

Languages: German

Job description

Seeking a Senior Data Engineer to design and build production-ready data pipelines using Dagster and Python on a cloud infrastructure. The role involves consulting, hands-on development, CI/CD implementation, and agile participation.

Project overview

The goal of this engagement is to supplement our client's internal IT with experienced expertise to conceptualize a production-ready infrastructural setup, including an operating model with the internal IT service provider, and to build data pipelines using modern principles (CI/CD, automated testing, code reviews) in an agile manner.

Responsibilities

Skills

  • Consulting on the structuring and 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 and hands-on development
  • Consulting on the use of Dagster integrations, especially dagster-dbt and embedded-elt with dlt (including hands-on support through 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 requirements, including documentation
  • Conducting code reviews
  • Active participation in agile regular meetings (Planning, Dailies/Scrums, Retrospectives)
  • Must-have: Dagster expert experience in building and implementing complex Dagster projects, especially dagster-dbt, embedded-elt with dlt
  • Experience level in years: Junior ( 5 years experience)
  • Must-have: Data Engineering expert consulting on the use and implementation of features, including documentation
  • Experience level in years: Senior (> 5 years experience)
  • Experience with complex dbt projects with dbt-core
  • Number of references: 3
  • Experience with projects on AWS infrastructure
  • Number of references: 1 (Weighting: 25%)
  • 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
  • Proof of certification and references for application (Weighting: 25%)
  • Experiences with complex dbt projects with dbt-core
  • Number of references: 3 (Weighting: 25%)

Project details

  • Duration: 01.12.2026
  • 31.12.2027
  • Utilization: Total PT 202 / of which Onsite PT 10 (in Berlin)
  • Start: 01.12.2026
  • Duration: 31.12.2027
  • Location: 10178 Berlin, DE
  • Languages: German

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