Senior Software Developer (Data Engineer) - M/BDO4-PU

Company Description

The Bosch Group is a leading global supplier of technology and services. It employs roughly 429,000 associates worldwide (as of December 31, 2023). The company generated sales revenue of 91.6 billion euros in 2023. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. Universal trends such as automation, electrification, digitalization, and connectivity, as well as an orientation to sustainability, are increasingly determining the group’s business operations. In this context, Bosch’s broad footprint as a global and diversified technology company strengthens its innovativeness and robustness.

Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture intelligent, user-friendly, and sustainable products.

With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral overall (scopes 1 and 2) since 2020. As part of this, residual emissions of 581,000 metric tons of CO2 were offset with carbon credits in 2023. Year on year, this is a decrease of roughly 136,000 metric tons of CO2, or 19 percent. 1

The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 90,000 associates in research and development, of which nearly 48,000 are software engineers.

Job Description

• Build and maintain robust data pipelines to integrate data collection, preprocessing, embedding, and retrieval processes. Ensure smooth and scalable operations across the system to support large-scale data handling and model integration.
• Collaborate with Al researchers and data scientists to understand data requirements and deliver high-quality datasets for model training and evaluation.
• Build and maintain data architectures
• Ensure data is pre-processed, cleaned, and transformed in preparation for machine learning models.
• Optimize data workflows to improve performance and reduce latency in Al model training and inference.

• Develop and maintain automated ETL (Extract, Transform, Load) processes to support data availability and consistency.
• Work with cloud platforms (AWS, GCP, Azure) to manage and scale data storage and processing systems.
• Ensure data governance, security, and compliance with data privacy regulations.
• Continuously monitor and improve the performance of data pipelines to meet the evolving needs of Al projects.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Proven experience as a Data Engineer or similar role, ideally with a focus on Al, machine learning, or big data.
• Strong programming skills in languages such as Python or Java
• Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming (e.g., Kafka)
• Familiarity with natural language processing techniques and tools (e.g., tokenization, embeddings, vectorization)
• Solid understanding of relational and NoSQL databases (e.g., MySQL, MongoDB)
• Experience with cloud services (AWS, GCP, Azure)
• Knowledge of data warehousing and data lake architectures.
• Familiarity with machine learning pipelines and Al tools (e.g., TensorFlow, PyTorch)
• Strong problem-solving and troubleshooting skills.
• Excellent communication skills and the ability to collaborate with cross-functional teams.

Additional Information

We offer competitive remuneration package including performance bonus, 15-day annual leave, life and accident insurance coverage, generous medical and dental coverage, staff purchase privileges in addition to a 5-day work week to the right candidate.

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