Senior Data Engineer: Cloud Data Pipelines & Analytics

Secretlab; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

Secretlab is seeking a Senior Data Engineer to build and scale our data infrastructure and analytics. You will design data models and data warehouses, implement star-schema analytics, and develop ML layers using tools like Airflow and DBT.

You will ensure reliable pipelines, reduce technical debt, and guide junior team members as we scale our data culture. Join a fast-moving team in a hybrid environment, working with AWS cloud data services, Snowflake, Fivetran, and other modern data stack

Qualifications

• Proficient in SQL and Python for data engineering tasks.
• Experience building and maintaining data pipelines and data models.
• Familiar with cloud platforms and DevOps basics (Git, CI/CD).

Responsibilities

• Set up AWS cloud data infrastructure for data engineering use cases.
• Design data models and architectures for data warehouse and systems.
• Develop star-schema analytics and ML layers with modern tools.
• Maintain reliable data pipelines with testing and logging.
• Collaborate with team and guide junior members.
• Prioritize feature delivery aligned with user stories.

Skills

SQL

Python

Data pipelines

CI/CD basics

Tools

Git

Docker

Terraform

Airflow

DBT

Snowflake

Fivetran

S3

Job description

Secretlab is seeking a Senior Data Engineer to build and scale our data infrastructure and analytics. You will design data models and data warehouses, implement star-schema analytics, and develop ML layers using tools like Airflow and DBT.

You will ensure reliable pipelines, reduce technical debt, and guide junior team members as we scale our data culture. Join a fast-moving team in a hybrid environment, working with AWS cloud data services, Snowflake, Fivetran, and other modern data stack