Senior Data Engineer

QUESS SELECTION & SERVICES PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

QUESS SELECTION & SERVICES PTE. LTD. in Singapore is seeking a Data Engineer to design, build and optimise scalable data pipelines and platforms that support analytics and decision-making.

You will work with business and technology teams, focusing on data modelling, pipeline reliability and performance, and production deployments in a Life Insurance context. 5+ years of experience and strong big data tech skills are required.

Qualifications

• 5+ years of experience in Data Engineering / ETL.
• Experience with Hadoop, Spark, Hive or similar big data tech.
• Experience with AWS, Azure or GCP; Life Insurance experience preferred.

Responsibilities

• Design, build and maintain scalable ETL/data pipelines.
• Develop data models and data marts for analytics and reporting.
• Improve data quality, reliability and performance.
• Build monitoring, logging and alerting for data pipelines.
• Collaborate with stakeholders on data requirements.
• Lead code reviews, testing and deployments.
• Troubleshoot and optimise pipeline performance.
• Drive improvements across data engineering processes and architecture.
• Support data solutions within a Life Insurance environment.

Skills

Data Engineering

ETL

Big data

Data modelling

Data pipelines

Problem solving

Stakeholder management

Independent work

Life Insurance

Tools

Hadoop

Spark

Hive

AWS

Azure

GCP

Job description

We’re looking for an experienced Data Engineer to build and optimise scalable data pipelines and data platforms. You’ll work closely with business and technology teams to deliver reliable, high-quality data solutions that support analytics, reporting and business decision-making.

What you’ll do

• Design, build and maintain scalable ETL/data pipelines
• Develop data models and data marts for analytics and reporting
• Work with large datasets and improve data quality, reliability and performance
• Build monitoring, logging and alerting for data pipelines
• Collaborate with business and technical stakeholders on data requirements
• Lead code reviews, testing and production deployments
• Troubleshoot and optimise pipeline performance
• Drive improvements across data engineering processes and architecture
• Support data solutions within a Life Insurance environment

What we’re looking for

• 5+ years of experience in Data Engineering / ETL
• Strong experience with Hadoop, Spark, Hive or similar big data technologies
• Experience with AWS, Azure or GCP
• Strong understanding of data modelling, data pipelines and data architecture
• Life Insurance experience is highly preferred
• Strong problem-solving and stakeholder management skills
• Comfortable working independently in a fast-paced environment

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job‑matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation‑wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA