Data Engineer China Hub

Mercedes-Benz Group China Ltd.

Mercedes-Benz Group China Ltd., Beijing (Hybrid)

Job Type Full-time

Experience 3+ years

Posted 1 month ago

Hybrid 3+ years Level

Objective of Job

Design, build, and maintain robust, scalable data architectures that enable advanced analytics, machine learning, and data-driven decision-making across the organization. Own the end-to-end data lifecycle—from ingestion and transformation to storage and access—ensuring high data quality, reliability, and performance. Partner closely with analytics, engineering, and business teams to translate data requirements into efficient, production-grade data solutions that support operational excellence and innovation.

Key Responsibilities

Data Architecture & Pipelines

Design, develop, and maintain scalable, fault-tolerant data pipelines for structured and unstructured data using modern ETL/ELT frameworks.
Implement and optimize data models, including dimensional, wide-table, and lakehouse patterns, to support analytics, reporting, and machine-learning use cases.
Ensure high standards of data quality, consistency, lineage, and documentation across data platforms.

Platforms & Infrastructure

Build and operate data solutions using cloud platforms such as AWS, Azure, and GCP and big data technologies such as Spark, distributed databases, and data lakes.
Manage data storage, processing, and orchestration tools to ensure performance, scalability, and cost efficiency.
Support deployment, monitoring, and troubleshooting of production data pipelines and workflows.

Collaboration & Enablement

Work closely with data scientists, analysts, and business stakeholders to understand data needs and enable efficient access to trusted datasets.
Translate analytical and operational requirements into reliable, reusable data assets.
Support self-service analytics by improving data discoverability and accessibility.

Governance & Reliability

Implement data governance, security, and access controls in alignment with organizational and regulatory requirements.
Monitor pipeline health, data freshness, and system performance; proactively resolve issues and optimize reliability.
Contribute to best practices around version control, testing, CI/CD, and infrastructure-as-code for data systems.

Continuous Improvement & Innovation

Stay current with emerging data engineering tools, architectures, and best practices.
Evaluate and introduce new technologies to improve data platform capabilities, efficiency, and resilience.
Drive continuous improvement of data engineering standards and processes across the organization.

Qualifications

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Industrial Engineering, or a comparable quantitative field.
3+ years of professional experience in advanced analytics, business intelligence, or data-science projects within manufacturing or automotive environments, with a strong focus on planning and project steering.
2+ years leading data-driven teams, preferably in cross-cultural Germany-China settings.
Expertise in data extraction and modelling with Python, Pandas, SQL, and SAP BW/HANA, with a strong grasp of statistical modelling and foundational machine-learning techniques.
Experience in project management and KPI-driven reporting for production or supply-chain processes.
Proficiency with Power BI and standard Microsoft Office applications.
Fluency in English and Mandarin.
Proven intercultural competence and success in international work or study settings.

Benefits

Flextime and possible hybrid work.
Health benefits, mobility offers, employee discounts, and possible parking.
In-house doctor, good public transport, barrier-free workplace, canteen, and café.