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Spark roles open to Germany.
Browse remote Spark roles that accept candidates based in Germany.
Remote Spark jobs in Germany with clear eligibility
This page focuses on remote roles that list Germany as an accepted candidate location. That matters because many remote jobs still restrict applications by country, timezone, payroll, legal entity, or hiring policy.
Use Spark as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.
- Confirm your country is accepted before applying.
- Compare stack, seniority, and application flow.
- Create alerts for new roles open to candidates in Germany.
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Data Engineer
Teravision Technologies 路 Data Science
Fully remote position.
ML Engineer (Python/Big Data)
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Senior Machine Learning Engineer- Fully Remote!
KinderCare Education, LLC
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Senior ML Engineer (Python/Big Data)
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Data Engineer
Nebius 路 Data Science
Design, develop, and maintain scalable data pipelines.
Data Engineer
Anteriad 路 Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
Data Engineer
OneSix 路 Data Science
Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.
Member of Technical Staff (Software Engineer, Data Flywheel)
Perplexity 路 AI Research & Systems
Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks
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