Data Engineer (f/m/div.) at Bosch Group

Renningen, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Azure Databricks, ETL/ELT Pipelines, Kafka, MQTT, Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, Data Modeling, Data Warehousing, Data Governance, Machine Learning, Streaming Technologies, IoT Sensors, Manufacturing Execution Systems, Cloud Platforms

Industry

Software Development

Description

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application! 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. Qualifications 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 Additional Information https://www.bosch-ai.com www.bosch.com/research Please submit all relevant documents (CV, letter of motivation, certificates, and links to GitHub or kaggle account). We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need support during your application? Kathrin Stipak (Human Resources) +49 711 811 38015 Need further information about the job? Andreas Burger (Functional Department) +49 711 811 53946 Work #LikeABosch starts here: Apply now! Legal Entity: Robert Bosch GmbH

Responsibilities

Lead the technical design and implementation of a scalable data platform for machine learning and analytics using batch and streaming technologies. Design and operate robust ETL/ELT pipelines and data models for industrial data sources within the Microsoft Azure ecosystem.