Data Engineer iv.)

Robert Bosch GmbH
Renningen, Germany
25 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
English, German

Job location

Renningen, Germany

Tech stack

Azure
Cloud Computing
Information Engineering
Data Governance
ETL
Data Systems
Data Warehousing
Machine Learning
Message Queuing Telemetry Transport (MQTT)
Azure
Data Processing
Azure
Information Technology
Real Time Data
Kafka
Data Management
Physical Data Models
Video Streaming
Azure
Data Pipelines
Databricks

Job description

  • As a data engineer you will lead the technical design and implementation of a scalable, cost-efficient data platform for machine learning and analytics by skillfully leveraging batch as well as streaming technologies.
  • You will design, deploy, operate robust ETL/ELT pipelines that process large-volume, high-velocity data from industrial sources such as IoT sensors and manufacturing execution systems.
  • Furthermore, you will design and implement logical as well as physical data models for our data warehouse, while establishing data quality and governance standards across all pipelines.
  • Last but not least, you will evaluate and select suitable data technologies and tools to meet business as well as technical requirements, particularly within a Microsoft Azure data ecosystem.

Requirements

Do you have experience in Manufacturing?, * Education: completed degree in Computer Science, Business Informatics, or a related technical field

  • Experience and Knowledge:
  • several years of professional experience in data engineering with a proven track record of building and operating data platforms and pipelines in a cloud environment
  • extensive hands-on experience in designing and implementing scalable data processing jobs
  • professional experience with Azure Databricks (Delta tables, Lakebase, Lakehouse)
  • very strong knowledge of modern streaming technologies (e.g. Kafka, MQTT) for real-time data ingestion
  • strong knowledge and professional experience with cloud platforms, e.g. the Microsoft Azure data stack (e.g. Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory)
  • expertise in data modeling, data warehousing principles and data governance
  • proven ability to design data platforms supporting both large-scale analytics and machine learning workloads
  • experience with industrial or manufacturing-related data sources
  • Personality and Working Practice: you communicate complex technical topics clearly and enjoy sharing your expertise in international, interdisciplinary team environments
  • Languages: fluent English skills written and spoken, German is a plus

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