Senior Data Engineer — Remote Germany: Data Pipelines & DW

finanzen.net GmbH; USA; Remote; USD 99.000 - 132.000; Vollzeit

Zusammenfassung

finanzen.net GmbH is hiring a Senior Data Engineer for a remote role based in Germany, with reference locations Karlsruhe, Berlin, and Munich. You will design and maintain data pipelines and data models to support analytics and product use cases, while evolving data warehouse architectures for growing data volumes.

The ideal candidate has several years of data engineering experience, strong SQL skills, and hands-on cloud and orchestration experience.

Qualifikationen

• Several years of professional experience in data engineering.
• Proficient in SQL and at least one modern programming language.
• Hands-on experience with cloud data platforms and distributed processing frameworks.
• Strong data modeling, ETL/ELT patterns, and pipeline orchestration knowledge.
• Ability to work remotely with technical and non-technical partners.

Aufgaben

• Design, build, and maintain data pipelines and data models for analytics and product use cases.
• Develop and evolve the data warehouse, data lake, or lakehouse architecture to support growing data volumes and new sources.
• Collaborate with analytics, product, and engineering teams to translate business requirements into scalable data solutions.
• Ensure data quality, lineage, and observability across ingestion, transformation, and consumption layers.
• Mentor colleagues and contribute to engineering standards, code reviews, and architectural decisions.

Kenntnisse

SQL

Python

Data modeling

Tools

Spark

Airflow

Cloud platforms (AWS/GCP/Azure)

Jobbeschreibung

finanzen.net GmbH is hiring a Senior Data Engineer for a remote role based in Germany, with reference locations Karlsruhe, Berlin, and Munich. You will design and maintain data pipelines and data models to support analytics and product use cases, while evolving data warehouse architectures for growing data volumes.

The ideal candidate has several years of data engineering experience, strong SQL skills, and hands-on cloud and orchestration experience.