A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Vagas remotas de Python para candidatos em Alemanha.
Veja vagas remotas de Python que aceitam candidatos em Alemanha.
Vagas remotas de Python em Alemanha com elegibilidade clara
Esta página reúne vagas remotas abertas para candidatos em Alemanha. Isso evita perder tempo com posições que parecem remotas, mas restringem contratação por país, fuso horário, folha de pagamento ou política interna.
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Data Engineer
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
Data Engineer
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
7+ years in data engineering
Data Engineer (m/w/d)- Remote- Rhein/Ruhr oder München.
SparePartsNow GmbH · Data Science
Konzeption und Umsetzung moderner Datenpipelines: Du entwickelst und optimierst Batch- und Streaming-Datenpipelines und sorgst dafür, dass Daten zuverlässig, performant und skalierbar verarbeitet werden.
Contract Data Engineer
Hone Health · Data Science
Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.
Lead Data Engineer
3Pillar Global
Understanding the business requirements
Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics
Staff Data Engineer
Robots & Pencils · Data Science
Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
Principal Data Engineer- PerfectScale by DoiT
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Principal Data Engineer- PerfectScale by DoiT
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Senior Data Engineer
MLabs · Data Science
Data Platform & Pipeline Engineering: Design and operate scalable, near real-time data pipelines for payment and platform data.
Lead Data Engineer
Sparteo
FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025
Spontaneous Application- Data Engineer
Amplemarket · Data Science
Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources
Intermediate Data Engineer
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.
Python Engineering Manager, Commercial Systems
Canonical · Commercial Systems
Accountability for the design and development of an internal product
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.
Solutions Architect, German speaker
MongoDB · Solutions Consulting
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.
MLOps Field Engineer
Canonical · Field Engineering
Work across the entire Linux stack, from kernel, networking, storage, to applications,
Engineering Manager, Commercial Systems
Canonical · Commercial Systems
Accountability for the design and development of an internal product
Senior Solutions Architect- Lakewatch
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Senior Solutions Architect- Lakewatch
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Senior Solutions Architect- Lakewatch
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Senior Solutions Architect- Lakewatch
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
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