Data Engineer

加入我们，共享保险行业的美好未来！

利马是一家全球化的保险咨询公司，致力于帮助全世界的保险公司持续成长。 作为法国再保险集团（SCOR）的一员，我们专精于数据智能、市场营销及技术解决方案。自1984年成立以来，我们已服务了超过10亿用户，运营12000余个营销项目，每年承保超过1百万保单。我们有来自全球40个国家超过250名员工，在全球设有17个办公室。我们的客户包括500余家保险公司，并广泛与保险行业外的机构合作，如佳明（Garmin）、地方政府、大学等。我们的愿景是对保险行业进行变革，我们坚信要开发对人们的身心健康有持续良好影响的保险产品。

The role

As Data Engineer you will play an essential role in growing SCOR Digital Solutions products. You will support HealthTech business doing data processing, automation and assist solving business problems.

Reporting to James Lynch, Head of Product and Business Analytics, you will be responsible for the following:

Key responsibilities

• W• Work with the application development team to install the data infrastructure, including data warehouses, data lakes, and data pipelines, to support the organization's data needs
  • Work with business unit and client managers to solve business needs and client requests
  • Manage and use data tools and technologies (such as Databricks) to support the company's data strategy and objectives
  • Drive efforts to integrate data from various sources, including OLTP and event data, to create a unified and holistic view of the global data assets
  • Ensure the reliability of data warehouse with adequate Automation, Disaster Recovering solutions, and monitoring
  • With solid understanding of the application as well as Health Tech domain knowledge, conduct accurate data processing to develop ready-to use, clean data for data analytics including AI/ML
  • Collaborate with other data experts to establish data products with high-level automations.
  • Collaborate with cross-functional teams including Application Development and Knowledge and Data (AI/ML model development) to promote data culture such as data-driven decision-making process
  • Connect management information from different business lines to support a global product point of view
  • Closely adhere to all local and global security and compliance protocols

Technical/Essential competencies

• Expert in programming languages such as Python and working with data manipulation and analysis libraries/frameworks (e.g., Pandas, NumPy, scikit-learn).
• Expert in SQL and related cloud-based data platforms (e.g., Databricks).
• Experienced with data modeling, ETL processes, and data warehousing.
• Experienced using cloud services (GCP is a plus, AWS, Azure).
• Experienced using DAG tools.
• Proficient with code review, CIDI and Git.
• Proficient with testing environments and experienced in setting up unit test.
• Proficient with BI tools (Tableau, Power BI, etc.) and their data requirements.
• Proven ability to work with cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
• Understanding of data privacy and security regulations and best practices, sensitive to PII and PSI data handling

Personal competencies/Nice to have

• Enthusiastic.
• A healthy knowledge of news & current affairs especially in the topic of technology, data governance, Health Tech, financial sector, insurance, and consumer behaviour.
• Excellent organisational skills with the ability to manage multiple projects in a complex, fast-paced and deadline-driven environment.
• Familiar with data science including knowledge of supervised and unsupervised machine learning techniques.

Required education/Work experience

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering).
• Minimum of 5 years of experience in data engineering or a related discipline.
• 1+ years industry experience in the (re)insurance or Health Tech.

What we offer

• Competitive Salary.
• Insurance benefits.
• Training & professional development opportunities.
• Working in a global, entrepreneurial ‘start-up’ environment within the established SCOR Group.

公司的工作语言为英语。所有利马员工都应具备充分的英文听说读写水平，以便在公司内正常交流并高效工作。