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Data Engineer (AI Lab)

SpringCube

Full time - Manager

Insurance & InsurTech

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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      Job Description

      The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

      Data Engineer (AI Lab)

      Company Overview:
      A leading life insurance company in Singapore, known for its commitment to providing a wide range of financial services, including protection, savings, and investment-linked plans. The company has been serving customers for over 90 years and has a strong presence in the financial advisory space. It is dedicated to leveraging technology and innovation to enhance customer experiences and promote financial well-being.

      Job Description:
      As a Data Engineer in the AI Lab, you will play an essential role in supporting the development of cutting-edge AI solutions. You will work on building data pipelines, collaborating with cross-functional teams, and ensuring data is sourced and made available for downstream consumption. This role requires a solid technical background in data engineering and AI, as well as the ability to work effectively in a cloud-based infrastructure.

      Responsibilities Include:

      • Build and maintain data pipelines to source data from multiple internal and external sources.
      • Collaborate with teams to design solutions that meet business needs.
      • Communicate effectively with stakeholders to address concerns and risks.
      • Manage timelines and ensure quality and budget are adhered to.
      • Coordinate communication plans for initiative execution.

      Skills and Knowledge:

      • Strong technical background in data engineering, AI, and cloud infrastructure.
      • Proficiency in Python and SQL.
      • Experience with Cloud Infra providers such as Azure, Google Cloud, or AWS.
      • Experience with Apache Spark, Hive, and other big data tools.
      • Familiarity with CI/CD tools like Jenkins, Bitbucket, and Azure DevOps.
      • Experience with relational and NoSQL databases, and large-scale data processing.

      Experience and Qualifications:

      • 5-8 years of experience in enterprise IT applications and big data environments.
      • Bachelor’s or Master’s degree in a STEM field (Science, Technology, Engineering, Mathematics).
      • Certifications in Data and Analytics are a plus.

      Disclaimer:
      SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

      1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
      2. No Client Relationship: This company is not a client of SpringCube unless stated.
      3. Users must click to apply, redirecting to the employer’s career page.
      4. No Liability: SpringCube is not liable for inaccuracies.

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      SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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