Data Engineer
Location: Singapore
Company: Nas.io

Nas.io is building Shopify for the AI era: a platform that helps net-new entrepreneurs find customers and sell online. We’re an AI-first business platform used by 16,000+ entrepreneurs, growing rapidly month over month, and we scaled revenue 5× in 2025.

Backed by leading Silicon Valley VCs and based in Singapore, we’re entering a critical scale phase.

About the Role
We’re looking for a Mid-Level Data Engineer to join our growing data team. In this role, you’ll be responsible for designing, building, and maintaining scalable data pipelines and warehouse architectures that power business insights, product decisions, and marketing performance.

You’ll work closely with product, marketing, and analytics teams to ensure our data is reliable, well-structured, and actionable—especially when it comes to attribution and performance tracking.

What You’ll Do

Design, build, and maintain ETL/ELT pipelines to move and transform data from various sources into our data warehouse
Develop and optimize data models to support analytics and business intelligence
Build and manage data warehouse layers (Staging, Core/Foundation, and Business layers)
Implement scalable and efficient SQL transformations for large datasets
Collaborate with stakeholders to define data requirements and ensure data quality and integrity
Design and implement attribution models (e.g., last-click, multi-touch) within the data warehouse
Ensure data accuracy and consistency across marketing and product analytics

Requirements

3+ years of experience as a Data Engineer or in a similar role
Hands-on experience with modern data warehouses such as BigQuery, Snowflake, or Redshift
Strong SQL skills, with a focus on data transformation, modeling, and analysis
Proven experience building ETL/ELT pipelines
Solid understanding of data modeling techniques (e.g., star schema, dimensional modeling)
Experience designing data warehouse architectures (Staging, Core, Business layers)
Strong understanding of attribution models and how to implement them in a data environment
Ability to translate business needs into scalable data solutions

Nice to Have

Experience working with marketing or growth data
Familiarity with tools like dbt, Airflow, or similar
Experience in fast-paced startup environments

Our Company Values

Think in Days: We don't think about how many years something will take, we think about how many days. This is our secret to fast growth.
Always Share Secrets: We don't believe in secrets. We share with our followers and our employees what we do and why we do it.
Never Miss a Monday: We never miss a meeting. We never miss a deadline. We never miss a commitment. Commitment is at the core of our DNA.
Be A Force For Good: All our actions intend to bring a positive impact to everyone around us.
Explain for a 10-year old: We communicate in a simple and inclusive manner, free from unnecessary complexity.

Benefits

At Nas Company, we work hard, REALLY HARD! So we value our employees' well-being and believe that a supportive and fulfilling work environment contributes to their success. We're proud to offer a range of benefits that will enhance your professional and personal life. Here's what you can look forward to as part of our team:

😷 Medical Insurance: We care about your health. Our comprehensive medical insurance plans are tailored to each region, ensuring you have the coverage you need.

🧘🏽 Self Care/Wellness Fund: Your well-being matters. We provide a monthly fund of $100 to spend on activities that bring you joy and promote your self-care.

🧠 Mental Health Fund: We care about your mental health too! We provide a monthly fund of $150 to spend on therapy or career coaching.

🌴 Paid Time Off: You’ll be entitled to paid time off based on your region, in line with the company policy.

🏖️ Yearly Retreats: Unwind, bond, and collaborate at our annual company retreats. A time for the entire company to come together to rejuvenate and bond.

💰 Stock Options/Profit share: As part of our team, you’ll have the opportunity to potentially own a piece of the company through stock options or profit sharing, depending on company discretion, aligning your success with ours.

Data Engineer

TLDR

Benefits