Data Engineer

Data Engineer Location: Singapore Company: Nas.com Nas.com 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. Why work with us: Here, you are not just an employee — you are treated as a true owner of the company. Our CEO shares clear updates on business strategy and operations every week, and your ideas are always welcome. You’ll have direct access to leadership, and strong support to turn great ideas into reality. You’ll work alongside a team of highly intelligent, passionate, and execution-driven engineers, using some of the most advanced AI technologies in the industry to solve real problems for users around the world. 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-...