Browse remote Azure roles that accept candidates based in Germany.
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 Azure as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.
Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.
CenterWell Senior Primary Care
Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
Fora Financial · Data Science
Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.
OneSix · 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.
All Your BI · Data Science
Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.
blueworks AG · Data Science
are the core components of our service offerings. With a balanced view of strategy, people, process and technology, we work with companies to understand their specific business needs to develop and implement practical business strategies
7+ years in data engineering
Career Factory · Data Science
Design und Implementierung kompletter ETL/ELT-Pipelines – von der Ingestion bis zum konsumierbaren Datenprodukt
reos · Data Science
Du entwickelst und verantwortest die Architektur sowie die Implementierung skalierbarer ETL‑Pipelines auf Basis von Microsoft Fabric und sorgst für eine effiziente, automatisierte Integration heterogener Datenquellen
ShipBob
Manage and Develop a High-Performing Team: Hire, mentor, and manage a team of Data Engineers. Provide clear goals, career development guidance, and ongoing performance feedback.
reos · Data Science
Du entwickelst und verantwortest die Architektur sowie die Implementierung skalierbarer ETL‑Pipelines auf Basis von Microsoft Fabric und sorgst für eine effiziente, automatisierte Integration heterogener Datenquellen
AB InBev · Data Science
Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.
MongoDB · Solutions Consulting
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
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