Data Engineer

Douglas GmbH
Düsseldorf, Germany
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
€20,713.0
Working hours
Regular working hours
Languages
English, German

Tech stack

Data Analysis Automation of Tests Code Review Continuous Integration Information Engineering Data Integration Data Warehousing Database Queries Python (Programming Language) Role-Based Access Control Trunk-based Development Snowflake
+3 more
Git Dynamic Data Atlassian Bamboo

Job description

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 *

Requirements

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

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Inside Douglas GmbH

Culture, engineering, and team stories

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

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Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

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Addressing code review surrender and process exploitation

Laura Tacho Laura Tacho · World Congress 2026 Europe

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

4:59 min

Bringing DevOps practices to data transformation with DBT

Matthias Niehoff Matthias Niehoff · World Congress 2024

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