位于c22的 4 个优质process quality engineer职位（正在招聘！）

Data Engineer China Hub
Mercedes-Benz Group AG —北京市
Senior Product Manager - AI, Amazon Global Selling - PMO
Amazon (Shanghai) International Trading Company Limited Beijing Branch —北京市
- 全职
Solution Architecture Manager
Microsoft —北京市
Technical sales support Specialist
ABB (China) Ltd. —北京市
快速申请

Other jobs to consider

Find your next job by exploring related positions.

CRA 1/2/Sr-KunTuo
IQVIA —北京市
Escalate quality issues as appropriate. Evaluate the quality and integrity of study site practices related to the proper conduct of the protocol and adherence…
分析师/助理咨询顾问 Analyst/Assoc Consultant, MC, China
IQVIA —北京市
Beijing, China | Full time | Hybrid | R1522007. Under direct supervision, assists with the review and analysis of client requirements or problems and the…

Show more related jobs

我想收到关于 c22 的 process quality engineer 的最新职位提醒

一旦登录您的账户，即表明您同意 SimplyHired 的服务条款和我们的Cookie 协议及隐私政策。

查看更多地区的职位

process quality engineer jobs near c22

位于苏州市相城区的Customer Support职位

位于上海市的Technical Support Engineer职位

位于武汉市的Technical Support Specialist职位

位于北京市的Business Operations Manager职位

位于上海市崇明县的Sales Manager职位

位于上海市的Business Development Manager职位

位于上海市静安区的Senior Software Engineer职位

位于上海市的Data Engineer职位

位于北京市东城区的Data Engineer职位

位于深圳市的System Engineer职位

位于深圳市的Data Analyst职位

Data Engineer China Hub

Mercedes-Benz Group AG -
北京市

立即申请

职位详情

完整职位描述

Tätigkeitsbereich:Produktion

Fachabteilung:Strategic & NTP Planning China & MO/EC Hub

Gesellschaft:Mercedes-Benz Group China Ltd.

Standort:Mercedes-Benz Group China Ltd., Beijing

Startdatum:01.09.2026

Veröffentlichungsdatum:03.07.2026

Stellennummer:MER00044IH

Arbeitszeit:Vollzeit

Aufgaben

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 (e.g., dimensional, wide tables, 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 (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, distributed databases, 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.

Qualifikationen

Qualifications:

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Industrial Engineering, or a comparable quantitative field

Experience

3 + years professional experience in advanced analytics, business intelligence, or data-science projects within manufacturing/automotive environments, with a strong focus on planning and project steering
2 + years leading data-driven teams (preferably cross-cultural, Germany/China)

Specific Knowledge

Outstanding communication and coordination skills
Deep expertise in data extraction and modelling with Python, Pandas, SQL, and SAP BW/HANA; strong grasp of statistical modelling and foundational machine-learning techniques
Experienced in project management and KPI-driven reporting for production or supply-chain processes
Proficient with Power BI and standard MS Office applications (PowerPoint, Excel, Word)
Fluent in English and Mandarin
Proven intercultural competence and success in international work or study settings

Benefits

Mitarbeiter Events

Flexible Arbeitszeit möglich

Hybrides Arbeiten möglich

Gesundheitsmaßnahmen

Mobilitätsangebote

Mitarbeiterrabatte möglich

Parkplatz

Betriebsarzt

Gute Anbindung

Barrierefreiheit

Kantine, Café

Kontakt Mercedes-Benz Group China Ltd.

8 Boxing Road100176 BeijingDetails zum Standort

Wenwen Wang E-Mail: [email protected]

立即申请

完善您的搜索

在c22的process quality engineer个职位

Data Engineer China Hub

Senior Product Manager - AI, Amazon Global Selling - PMO

Solution Architecture Manager

Technical sales support Specialist

Other jobs to consider

我想收到关于 c22 的 process quality engineer 的最新职位提醒

Related Searches

查看更多地区的职位

求职者工具

雇主工具

浏览

保持联系