Senior Data Engineer Singapore

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

Job summary

Kape Technologies in Singapore is seeking a Senior Data Engineer to architect and maintain modern data infrastructure and pipelines, enabling analytics and AI-driven workflows across the company. You will collaborate with analysts, product, and engineering to design end-to-end data solutions using Snowflake, Redshift, Athena, and related cloud services, while ensuring governance, security, and reliability.

We value hands-on leadership in data modeling, ETL/ELT, and scalable platforms, with

Qualifications

• 5+ years of experience as a Data Engineer with data pipeline development.
• Strong Python and SQL programming skills.
• Experience with Snowflake or AWS Redshift.
• Hands-on with LLM-powered analytics workflows in production.
• Experience with Airflow, dbt, and orchestration tools.
• Solid data modeling and ETL/ELT knowledge.
• Excellent communication and cross-functional collaboration.
• Experience in high-growth SaaS environments.

Responsibilities

• Design and build scalable data pipelines to ingest, process, and store data.
• Develop and maintain data warehouse architectures using Snowflake and Redshift.
• Optimize data models and queries for performance, scalability, and cost.
• Collaborate with analytics, product, payments and finance to deliver data solutions.
• Ensure data governance, quality, security, and monitoring.
• Own and operate production data workflows and resolve incidents.
• Support analytics and AI workloads with scalable data access.

Skills

Python

SQL

Data modeling

Data warehousing

LLM workflows

ETL/ELT

Airflow

dbt

Cloud DevOps

Communication

Education

Bachelor's or Master’s degree in Computer Science or related field

Tools

Snowflake

AWS Redshift

Athena

Apache Airflow

dbt

Terraform

Docker

Kafka

Kinesis

Tableau

Power BI

Job description

Senior Data EngineerJob detailsDepartment / Data Engineering & InsightsSingaporeFull-time**About Kape Technologies**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.**Tech Stack*** Languages & Tools: Python, SQL* Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena* Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt* Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform* 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