Dein persönlicher KI-Karriere-Agent
Data Engineer(m/w/x)
Building scalable data platforms on Azure Databricks for industrial machine learning. Several years of cloud data engineering experience required. Flexible working models, part-time options.
Anforderungen
- Degree in Computer Science, Business Informatics, or related technical field
- Several years of professional data engineering experience
- Proven track record building/operating data platforms/pipelines in cloud
- Extensive hands-on experience designing/implementing scalable data processing jobs
- Professional experience with Azure Databricks (Delta tables, Lakebase, Lakehouse)
- Very strong knowledge of modern streaming technologies (Kafka, MQTT)
- Strong knowledge/experience with Microsoft Azure data stack
- Experience with Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory
- Expertise in data modeling, data warehousing principles, data governance
- Proven ability to design data platforms for analytics and ML workloads
- Experience with industrial or manufacturing-related data sources
- Clear communication of complex technical topics
- Enjoyment of sharing expertise in international, interdisciplinary teams
- Fluent English skills (written and spoken)
- German language skills (plus)
Aufgaben
- Lead technical design and implementation of scalable, cost-efficient data platform
- Leverage batch and streaming technologies for machine learning and analytics
- Design, deploy, and operate robust ETL/ELT pipelines
- Process large-volume, high-velocity data from industrial sources
- Design and implement logical and physical data models for data warehouse
- Establish data quality and governance standards across pipelines
- Evaluate and select suitable data technologies and tools
- Meet business and technical requirements within Microsoft Azure ecosystem
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- Azure Databricks
- Delta tables
- Lakebase
- Lakehouse
- Kafka
- MQTT
- Microsoft Azure
- Azure Data Lake Storage
- Azure Synapse Analytics
- Azure Data Factory
Benefits
Flexibles Arbeiten
- Flexible working models
- Part-time options
- Mobile working
- Job sharing
Sonstige Vorteile
- Diversity and inclusion
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Data Engineer(m/w/x)
Building scalable data platforms on Azure Databricks for industrial machine learning. Several years of cloud data engineering experience required. Flexible working models, part-time options.
Anforderungen
- Degree in Computer Science, Business Informatics, or related technical field
- Several years of professional data engineering experience
- Proven track record building/operating data platforms/pipelines in cloud
- Extensive hands-on experience designing/implementing scalable data processing jobs
- Professional experience with Azure Databricks (Delta tables, Lakebase, Lakehouse)
- Very strong knowledge of modern streaming technologies (Kafka, MQTT)
- Strong knowledge/experience with Microsoft Azure data stack
- Experience with Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory
- Expertise in data modeling, data warehousing principles, data governance
- Proven ability to design data platforms for analytics and ML workloads
- Experience with industrial or manufacturing-related data sources
- Clear communication of complex technical topics
- Enjoyment of sharing expertise in international, interdisciplinary teams
- Fluent English skills (written and spoken)
- German language skills (plus)
Aufgaben
- Lead technical design and implementation of scalable, cost-efficient data platform
- Leverage batch and streaming technologies for machine learning and analytics
- Design, deploy, and operate robust ETL/ELT pipelines
- Process large-volume, high-velocity data from industrial sources
- Design and implement logical and physical data models for data warehouse
- Establish data quality and governance standards across pipelines
- Evaluate and select suitable data technologies and tools
- Meet business and technical requirements within Microsoft Azure ecosystem
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- Azure Databricks
- Delta tables
- Lakebase
- Lakehouse
- Kafka
- MQTT
- Microsoft Azure
- Azure Data Lake Storage
- Azure Synapse Analytics
- Azure Data Factory
Benefits
Flexibles Arbeiten
- Flexible working models
- Part-time options
- Mobile working
- Job sharing
Sonstige Vorteile
- Diversity and inclusion
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Bosch Group
Branche
IT
Beschreibung
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Noch nicht perfekt?
- GFT Technologies SE
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