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[Bosch R&D - Internship] Data Engineering Intern

Bosch Group
Vietnam· Information Technology October 1, 2026
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About the role

• Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) in automobiles. In addition, Bosch operates a software and engineering R&D center (Robert Bosch Engineering and Business Solutions Vietnam Co., Ltd). • In July 2014, Bosch set up a new Automotive R&D Center, located in Ho Chi Minh City. The continuous growth of this Centre is in line with Bosch’s strategy in Vietnam, which aims at becoming a manufacturing and R&D hub in the Southeast Asian region. Currently four products are available: connectors, pushbelt, fuel supply, and diagnosis module (tank leakage). • For further information, please visit our website: www.bosch.com.vn • Designing and implementing data pipelines from multiple sources using Azure Databricks or Hadoop ecosystem. • Developing scalable and re-usable frameworks for ingesting of data sets. • Integrating end to end data pipeline - to take data from source systems to target data repositories ensuring quality and consistency of data is maintained at all times. • Working with event based / streaming / scheduling technologies to ingest and process data. • Write python script to process data according to the needs from other engineers. • Build dashboard using Power BI or Tableau to fulfill the need from end users. • Evaluating the performance and applicability of multiple tools for the automated data pipeline. • Involve in application development using low-code platforms such as PowerApps and OutSystems. • Involve in AI solution development in the organization focus on building python script for data processing. • Undergraduate student majoring in Computer Science, Data Science, Information Technology or any equivalent field with strong foundation in data structure and algorithms. • Basic experience in designing, developing, deploying and/or supporting data pipelines using Databricks, Azure, OpenShift, Virtual Machine. • Basic experience in building dashboard using Power BI, Tableau. • Proficient in programming languages like PySpark and Python. • Good understanding of SQL and API. • Good at computational problem solving. • Knowledge and experience with knowledge graph is a plus. • Ability to work independently, proactive, detail-oriented with willingness to learn and apply new technologies. • A learning-driven, professional, inclusive multinational work environment fosters personal growth and expands professional networks. • An attractive monthly allowance. • Hands-on experience in an advanced engineering simulation and product development field. • Opportunity to apply technical knowledge skills in a real work. • Collaboration with experienced engineers and professionals.
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