Senior Data Engineer (w/m/d)

finanzen.net GmbH; United States; Remote; USD 99,000 - 132,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Data modeling

Tools

Spark

Airflow

Cloud platforms (AWS/GCP/Azure)

Job description

Role overview

A Senior Data Engineer role is being hired on a remote basis within Germany, working from Karlsruhe, Berlin, or Munich. The position sits within an information technology and internet brands organization and focuses on building and operating data infrastructure. The source material is limited, so the following reflects the responsibilities and profile typical for a senior data engineering position.

Responsibilities

• Design, build, and maintain reliable data pipelines and data models that serve 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.

Requirements

• Several years of professional experience in data engineering or a closely related role.
• Strong proficiency with SQL and at least one modern programming language commonly used in data workloads.
• Hands-on experience with cloud data platforms and distributed data processing frameworks.
• Solid understanding of data modeling, ETL or ELT patterns, and pipeline orchestration.
• Ability to work independently in a remote setup and communicate clearly with technical and non-technical partners.

Benefits and work setup

• Remote position based in Germany, with Karlsruhe, Berlin, and Munich listed as reference locations.
• Right to work in the country of residence is required.