Senior Data Engineer: Build Scalable Data Platform & AI

ExpressVPN

Singapore

On-site

SGD 120,000 - 180,000

Full time

5 hours ago
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Job summary

Kape is a cybersecurity company focused on privacy and protection, with a global footprint and a mission to create a safer digital world. We seek a Senior Data Engineer to architect and maintain modern data infrastructure, building scalable pipelines and data platforms that power analytics and AI-driven workflows.

You will design end-to-end data solutions using Snowflake, Redshift, Athena, Kafka, and BI tools, working with analysts, product, and engineering teams to enable data-driven decisions

Qualifications

  • Bachelor's or Master’s degree in Computer Science, Engineering, or related field
  • 5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousing
  • Deep proficiency in Snowflake or AWS Redshift
  • Strong programming skills in Python and SQL
  • Hands-on experience building LLM-powered applications or workflows in production for analytical use cases
  • Experience with pipeline orchestration tools (Airflow, Glue, dbt)
  • Solid understanding of data modeling, schema design, and ETL/ELT processes
  • Strong analytical, problem-solving, and communication skills
  • Ability to work cross-functionally and mentor others
  • Experience in high-growth, product-led, or SaaS environments

Responsibilities

  • Design and build scalable data pipelines to ingest, process, and store large volumes of data from diverse sources
  • Develop and maintain robust data warehouse architectures using Snowflake, Redshift, and Athena
  • Optimize data models, queries, and storage for performance and cost
  • Collaborate with analytics, product, payments and finance to deliver data solutions
  • Ensure data quality, security, and privacy through governance, testing, and monitoring
  • Own and operate production data workflows; resolve incidents and ensure reliability
  • Develop and maintain infrastructure for analytics and AI workloads, including semantic layers
  • Design and monitor agentic flows to democratize data access across the company

Skills

Python
SQL
Data pipelines
LLM workflows

Education

Bachelor's or Master’s in CS/Engineering

Tools

Snowflake
AWS Redshift
Athena
Kafka
Kinesis
Airflow
dbt
Tableau
Power BI

Job description

Kape is a cybersecurity company focused on privacy and protection, with a global footprint and a mission to create a safer digital world. We seek a Senior Data Engineer to architect and maintain modern data infrastructure, building scalable pipelines and data platforms that power analytics and AI-driven workflows.

You will design end-to-end data solutions using Snowflake, Redshift, Athena, Kafka, and BI tools, working with analysts, product, and engineering teams to enable data-driven decisions

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