Senior Data Engineer

ExpressVPN; Singapore; On-site; SGD 120,000 - 180,000; Full time

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 helping everyone have a better digital experience with greater privacy and protection. With over 1000 experienced individuals across ten global locations, including the UK, Israel, Germany, Romania, France, the Philippines, USA, Singapore, Hong Kong, and Cyprus, the Kape team is guided by a single mission: to create a more secure and safe world.

Job Summary

We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.

This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.

Core Responsibilities

• Design and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources.
• Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake.
• Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness.
• Collaborate with cross-functional stakeholders (analytics, product, payments and finance) to gather requirements and deliver data solutions that support business goals.
• Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring.
• Own and operate production data workflows, resolving incidents and ensuring reliability.
• Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers.
• Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy.
• Languages & Tools: Python, SQL
• Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena
• Streaming: Kafka, Kinesis
• BI & Analytics: Tableau, Power BI

Core Requirements

• 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 a production environment for analytical use cases, for example ‘ask your data’ interfaces
• 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

Nice to Have

• Familiarity with AWS infrastructure and DevOps practices
• Knowledge of data privacy and security standards (GDPR, SOC2)
• Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluation