AI&Data Engineer

1 week ago

Beijing, Beijing, China Siemens Full time

For Mobility IT Department in APAC region, we are looking for AI&Data Engineer to work together with us.
What are your responsibilities?

  • Work with business teams to clarify and analyze data and analytics requirements, driving these into effective IT, data lake, or data warehouse solutions.
  • Translate complex business needs into actionable technical requirements and high-impact data solutions.
  • Champion the deployment and adoption of the company's Data Management Framework across departments, ensuring best practices in data governance, security, quality, and compliance are followed.
  • Build, maintain, and improve data processing solutions, leveraging Python, SQL, and cloud data platforms (such as Azure or AWS).
  • Have Strong SQL skills and experience working with data warehouses (Snowflake preferred) and Proficiency in Power BI dashboard development and report creation.
  • Design, build, and maintain scalable end-to-end data pipelines and analytics or AI/ML models, ensuring data readiness and quality for AI initiatives.
  • Implement and support high-quality data modeling, solution design, and system architecture.
  • Deeply understand company data (distribution, structure, meaning), conduct analyses, and propose ideas for data-driven insights and predictive solutions.
  • Evaluate, adopt, and integrate new analytics and AI technologies that offer competitive edge and support business objectives.
  • Build robust quality assurance and data protection methodologies into all data solutions.
  • Liaise with IT, data engineering, business intelligence, and project teams for seamless solution delivery and implementation activities.
  • Monitor, supervise, and enhance system infrastructure to ensure sustained functionality and efficiency.
  • Aid departments in leveraging technology to maximize business value.

What do you need to qualify for this job?

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
  • 3+ years of relevant experience in data science, machine learning, or analytics projects.
  • Extensive knowledge of analytics systems, especially cloud data platforms (Azure/AWS) and reporting tools (Qlik Sense, Power BI, Tableau).
  • Strong data analytical skills to identify key business drivers and trends.
  • Proficiency in Python, SQL, and other programming languages as needed.
  • Hands-on experience in building data pipelines, data modeling, and implementing AI/ML solutions in business contexts.
  • Basic understanding of software development principles, algorithm design, and coding best practices.
  • Familiarity with data management frameworks and standards, including data governance, data quality, and metadata management.
  • Strong understanding of data readiness requirements for AI initiatives.
  • Excellent communication (oral and written, in English), teamwork, and presentation skills to effectively interact with global and regional teams.
  • Experience with quality assurance, data protection, and compliance methodologies.
  • Ability to discover, evaluate, and implement new technologies as needed.
  • Demonstrated ability to deliver projects as part of a collaborative team.

Soft Skills:

  • Demonstrated ability to effectively communicate technical concepts to non-technical audiences.
  • Self-motivated professional with strong problem-solving skills and the ability to manage multiple tasks simultaneously.
  • Highly detail-oriented, with an emphasis on continuous process improvement.

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