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Spark roles open to Germany.

Browse remote Spark roles that accept candidates based in Germany.

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Remote Spark jobs in Germany with clear eligibility

Candidate locationGermanyStack focusSparkMira checkCountry 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.

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Showing latest 24 of 25 Market intelligence
Current search25 Spark roles · Location: Germany

Showing 24 of 25 roles

Global Regional Systems Integrator Leader

Databricks · Business Development

Eligibility checked Fresh this week
Broad eligibilityCompany-site apply Recently added

Lead and develop a team of global alliance professionals responsible for managing Databricks' Managed Gold Portfolio of Systems Integrator partners.

  • Spark
Eligibility checked Fresh this week
Broad eligibilityCompany-site apply Recently added

Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills

  • Lead
  • AWS
  • Java
  • Python
  • +1
Eligibility checked Fresh this week
Broad eligibilityCompany-site apply Recently added

Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis.

  • AWS
  • Java
  • Python
  • +1

Engineering Manager- Data Platform

Canonical · Charm Engineering

Eligibility checked Fresh this week
Broad eligibilityCompany-site apply Recently added

You will lead a team building scalable data solutions for Kubernetes and cloud machines

  • Lead
  • Golang
  • Kubernetes
  • Python
  • +2

Cloud Solutions Architect- Alliances

Canonical · Field Engineering

Eligibility checked Fresh this week
Worldwide eligibilityCompany-site apply Recently added

Understand Ubuntu, Linux, networking and services in real-world environments

  • Lead
  • AWS
  • Azure
  • Kubernetes
  • +4

Cloud Field Engineering Manager

Canonical · Field Engineering

Eligibility checked Fresh this week
Worldwide eligibilityCompany-site apply Recently added

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

  • Lead
  • AWS
  • Azure
  • GCP
  • +4

Cloud Field Engineer

Canonical · Field Engineering

Eligibility checked Fresh this week
Worldwide eligibilityCompany-site apply Recently added

Work across the entire Linux stack, from kernel, networking, storage, to applications

  • AWS
  • Azure
  • GCP
  • +3

Alliances Field Engineer

Canonical · Field Engineering

Eligibility checked Fresh this week
Worldwide eligibilityCompany-site apply Recently added

Understand Ubuntu, Linux, networking and services in real-world environments

  • AWS
  • Azure
  • Kubernetes
  • +4

Sr. Staff Product Security Engineer

Databricks · Security

Eligibility checked
Broad eligibilityCompany-site apply Recently added

Full SDLC Support for new product features being developed in ENG and non-ENG teams. This would include Threat Modeling, Design Review, Manual Code Review, Exploit writing, etc.

  • Lead
  • Java
  • JavaScript
  • Python
  • +1

Engineer, Data

Ensemble Health Partners · Data Science

Eligibility checked
8 accepted countriesCompany-site apply Jul 19

Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

  • Middle
  • Azure
  • Python
  • Spark
  • +1

Sr. Machine Learning Engineer

MixMode · Data Science

Eligibility checked
5 accepted countriesCompany-site apply Jul 15

Design and operate production ML systems for large-scale, streaming data

  • Senior
  • Java
  • JavaScript
  • Kubernetes
  • +3

Data Engineer

Teravision Technologies · Data Science

Eligibility checked
Broad eligibilityCompany-site apply Jul 14

Fully remote position.

  • Senior
  • AWS
  • Python
  • Spark
  • +1
Eligibility checked
7 accepted countriesCompany-site apply Jul 14

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

  • Senior
  • AWS
  • Docker
  • GCP
  • +3
Eligibility checked
10 accepted countriesCompany-site apply Jul 11

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

  • Senior
  • Azure
  • CI/CD
  • LLM
  • +3
Eligibility checked
5 accepted countriesCompany-site apply Jul 5

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

  • Senior
  • AWS
  • Docker
  • GCP
  • +3
Eligibility checked
Broad eligibilityCompany-site apply Jul 5

Maintain and improve our Redpanda-based event streaming infrastructure

  • Senior
  • Kubernetes
  • PostgreSQL
  • REST
  • +1

Data Engineer

Nebius · Data Science

Eligibility checked
Broad eligibilityCompany-site apply Jul 4

Design, develop, and maintain scalable data pipelines.

  • Senior
  • Docker
  • Kubernetes
  • Python
  • +2

Data Engineer

Anteriad · Data Science

Eligibility checked
10 accepted countriesCompany-site apply Jul 2

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

  • Middle
  • AWS
  • Azure
  • Python
  • +2

Data Engineer

OneSix · Data Science

Eligibility checked
9 accepted countriesCompany-site apply Jul 2

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.

  • Senior
  • AWS
  • Azure
  • CI/CD
  • +3
Eligibility checked
4 accepted countriesCompany-site apply Apr 13

Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks

  • Lead
  • AWS
  • Python
  • Spark
  • +1
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