Douglas Service GmbH
40235 Düsseldorf - Deutschland
Data Engineer
Arbeit
Vollzeit
ab 21.08.2026
Beschreibung
Douglas Service GmbH
TASKS WITH IMPACT
* Robust data products are developed and operated by you on our central Snowflake Lakehouse platform using DBT
* Along our layer architecture, you model data and implement technically sound models based on DataVault and Kimball principles
* Ingestion connectors are built and maintained by you using Python and DLT, including their orchestration in Prefect
* Across the entire data lifecycle, you ensure data quality and actively contribute to the f... weiter lesen
TASKS WITH IMPACT
* Robust data products are developed and operated by you on our central Snowflake Lakehouse platform using DBT
* Along our layer architecture, you model data and implement technically sound models based on DataVault and Kimball principles
* Ingestion connectors are built and maintained by you using Python and DLT, including their orchestration in Prefect
* Across the entire data lifecycle, you ensure data quality and actively contribute to the f... weiter lesen
Douglas Service GmbH
TASKS WITH IMPACT
* Robust data products are developed and operated by you on our central Snowflake Lakehouse platform using DBT
* Along our layer architecture, you model data and implement technically sound models based on DataVault and Kimball principles
* Ingestion connectors are built and maintained by you using Python and DLT, including their orchestration in Prefect
* Across the entire data lifecycle, you ensure data quality and actively contribute to the further development of our quality standards
* CI/CD and GitOps processes with Azure Pipelines are shaped by you - including automated testing and clean release processes
* Security and governance requirements are implemented technically by you, for example RBAC, Dynamic Data Masking, anonymisation, and role-based access concepts in Snowflake
* In close collaboration with Data Analysts, Analytics Engineers, platform teams, and business units, you actively drive technical standards forward
YOUR SKILLS
* Solid experience in Data Engineering is part of your background, ideally within a modern cloud stack and in the context of agile data warehouse development
* Strong SQL skills and hands-on experience with DBT in production environments are a defining part of your technical profile
* Python skills are applied by you purposefully for data integration, automation, and orchestration
* Experience with Snowflake, Prefect or comparable orchestration tools, as well as CI/CD processes, is part of your practical toolkit
* Data modelling based on Kimball and DataVault is familiar territory for you - you understand the principles and can apply them in context
* Version-based workflows - Git, pull requests, code reviews, and trunk-based development or comparable approaches - are a natural part of your professional day-to-day
* Technical standards are something you develop collaboratively within the team, contributing in a structured and solution-oriented way
* Fluent communication in both German and English - in writing and verbally - rounds off your profile
TASKS WITH IMPACT
* Robust data products are developed and operated by you on our central Snowflake Lakehouse platform using DBT
* Along our layer architecture, you model data and implement technically sound models based on DataVault and Kimball principles
* Ingestion connectors are built and maintained by you using Python and DLT, including their orchestration in Prefect
* Across the entire data lifecycle, you ensure data quality and actively contribute to the further development of our quality standards
* CI/CD and GitOps processes with Azure Pipelines are shaped by you - including automated testing and clean release processes
* Security and governance requirements are implemented technically by you, for example RBAC, Dynamic Data Masking, anonymisation, and role-based access concepts in Snowflake
* In close collaboration with Data Analysts, Analytics Engineers, platform teams, and business units, you actively drive technical standards forward
YOUR SKILLS
* Solid experience in Data Engineering is part of your background, ideally within a modern cloud stack and in the context of agile data warehouse development
* Strong SQL skills and hands-on experience with DBT in production environments are a defining part of your technical profile
* Python skills are applied by you purposefully for data integration, automation, and orchestration
* Experience with Snowflake, Prefect or comparable orchestration tools, as well as CI/CD processes, is part of your practical toolkit
* Data modelling based on Kimball and DataVault is familiar territory for you - you understand the principles and can apply them in context
* Version-based workflows - Git, pull requests, code reviews, and trunk-based development or comparable approaches - are a natural part of your professional day-to-day
* Technical standards are something you develop collaboratively within the team, contributing in a structured and solution-oriented way
* Fluent communication in both German and English - in writing and verbally - rounds off your profile
Ref-Nr.: 12852300
Aktualisiert:
23.08.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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