Data Engineer

Robert Bosch Group; Batu Kawan; On-site; MYR 180,000 - 290,000; Full time

Benefits offered by this job

Company insurances

Transport allowance

Flexi work hours

Car loan subsidy

Meal subsidy

EPF

Job summary

Robert Bosch Group Malaysia is seeking a Data Engineer to architect and implement data solutions on a large-scale platform using PySpark, SQL, Airflow and Kafka. You will design scalable pipelines on Microsoft Azure and collaborate with analysts to deliver high-quality data products.

The role requires 5+ years in a Big Data environment, strong Python and SQL skills, and hands-on experience with Hadoop, Airflow, Kafka, and cloud services.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Responsibilities

• Architect and implement data solutions on a large-scale data platform Hadoop using PySpark.
• Write complex and efficient SQL queries to extract and transform data from various sources.
• Design, build, and maintain scalable and reliable data pipelines using tools like Apache Airflow and Kafka.
• Develop and optimise data processing jobs on the Microsoft Azure cloud platform, leveraging services such as Azure Data Lake, Databricks, and Azure Data Factory.
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver high-quality data products.
• Ensure data quality and integrity across all systems.
• Monitor, troubleshoot, and optimise the performance of our data infrastructure.
• Stay up-to-date with the latest trends and technologies in the Big Data space.

Skills

SQL

Python

Airflow

Kafka

Hadoop

NoSQL

Git

English

German

Teamwork

Education

Bachelor's or Master's in Computer Science

Tools

Hadoop

Apache Airflow

Azure

Databricks

PowerBI

Tableau

JIRA

Git

Job description

Company Description

Bosch has been present in Malaysia since 1923, represented by Robert Bosch Sdn Bhd. In Malaysia, Bosch is active in four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. The company has three manufacturing sites and research and development offices in Penang, producing automotive electronics, power tools and steering systems, and soon a fourth plant with a final testing centre for sensors and semiconductors. In 2020, Bosch Malaysia generated consolidated sales of RM 518.4 million (108.1 million euros), and currently employs more than 4,000 associates.

PgP5 Plant is Bosch Group’s newest expansion in Malaysia a semiconductor test site in Batu Kawan Penang. The construction has begun in May 2021 and first series of production to commence in 2023. With the long‑term forecasts for growth of semiconductor component quantities, coupled with the front‑end production in Bosch’s Dresden facility in Germany, capacity expansion is required for the back‑end production, which is the final testing phase of semiconductors and sensors. PgP5 will primarily focus on the final testing of components manufactured at Bosch Automotive Electronics’ fab in Dresden, Germany. The plant will also house R&D and training facilities.

Bosch in Malaysia is a part of the Bosch Group, a leading global supplier of technology and services. The Bosch Group’s strategic objective is to deliver innovations for a connected life. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life”.

Job Description

Join our exciting team as a Data Engineer with the following job scope:

• Architect and implement data solutions on our large‑scale data platform Hadoop using PySpark.
• Write complex and efficient SQL queries to extract and transform data from various sources.
• Design, build, and maintain scalable and reliable data pipelines using tools like Apache Airflow and Kafka.
• Develop and optimise data processing jobs on the Microsoft Azure cloud platform, leveraging services such as Azure Data Lake, Databricks, and Azure Data Factory.
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver high‑quality data products.
• Ensure data quality and integrity across all systems.
• Monitor, troubleshoot, and optimise the performance of our data infrastructure.
• Stay up‑to‑date with the latest trends and technologies in the Big Data space.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of professional experience as a Data Engineer in a Big Data environment.
• Proven hands‑on experience with the Hadoop ecosystem (HDFS, MapReduce, YARN).
• Expert‑level proficiency in SQL and experience with relational and NoSQL databases.
• Strong programming skills in Python, specifically with the PySpark library and Versioning control systems (git).
• Extensive experience of workflow management tools, particularly Apache Airflow.
• Basic knowledge of messaging and streaming platforms, especially Apache Kafka.
• Hands‑on experience with ticket systems (JIRA, Azure Devops).
• Experience with cloud platforms, preferably Microsoft Azure.
• Basic skills with business intelligence tools (PowerBI, Tableau).
• Strong problem‑solving skills and the ability to work independently as well as in an intercultural, agile team.
• Excellent communication skills in English, German skills are a plus.

Additional Information

• Benefits: Company Insurances, Transport Allowance, Flexi Work hours, Car Loan Subsidy, Meal Subsidy, high EPF, etc.
• Work in a fast‑growing semiconductor environment
• Take ownership of impactful task and profit from Career development opportunities
• Collaborate with global experts across the International Production Network (IPN)
• Be part of a strong, intercultural team with high team spirit

What We Offer:

• A challenging and rewarding role in a leading global technology company.
• Opportunities for professional growth and development.
• A collaborative, innovative, international and intercultural work environment.
• Competitive salary and benefits package.

We would love to hear from you.