Data Engineer

About Sellerwix

Sellerwix is a fast-growing Print-on-Demand (POD) technology company. We power fulfillment, integrations, and automation for high-volume POD sellers across global marketplaces. We're on a mission to build a technology-first platform that enables sellers to scale smarter and faster.

Position Summary

As a Data Engineer at Sellerwix, you'll play a key role in building and scaling the data backbone that powers our platform.

You will design and manage high-performance data pipelines, integrate data from multiple POD and marketplace sources, and ensure our business teams have accurate, real-time insights to make fast, data-driven decisions.

Job Description

• Design, build, and maintain automated data pipelines that extract and process data from marketplaces (Amazon, Etsy, TikTok Shop, etc.) and POD suppliers.
  Architect and optimize data warehouses (Redshift / BigQuery / Snowflake) to manage high-volume eCommerce data flows from listing order production shipping- claims.
• Develop data models, marts, and transformations to support business domains like Revenue, Fulfillment, and Supplier Performance.
• Implement data quality checks, validation logic, and alert systems to ensure reliability and trustworthiness of insights.
• Build and maintain real-time data integrations with Sellerwix internal systems and external APIs.
• Collaborate with Data Analysts, Sales, Supply Chain, and Operations teams to define metrics and deliver BI dashboards (Power BI / Tableau / Looker / Superset).
• Continuously improve system scalability, automation, and data observability.

Requirements

Must-Have:

• Solid proficiency in SQL and Python (Pandas, NumPy, SQLAlchemy).
• Proven experience with ETL/ELT workflows (Airflow, AWS Glue, or GCP Dataflow).
• Hands-on experience managing data warehouses (Redshift / BigQuery / Snowflake).
• Familiarity with RESTful APIs and real-time data synchronization.
• Strong understanding of data modeling and performance optimization.
• 2+ years of experience as a Data Engineer, preferably in eCommerce, SaaS, or POD domains.
• Experience building dashboards or data models using Power BI / Tableau / Looker / Superset.

Nice-to-Have:

• Understanding of the Print-on-Demand lifecycle (listing production shipping claim/refund).
• Experience with marketplace data structures (Amazon SP-API, TikTok Shop API, Etsy API).
• Familiarity with dbt, Kafka, or Fivetran for modern data stack orchestration.
• Experience implementing data observability or anomaly detection systems.
• Interest in ML data preparation or predictive analytics.

Who We Look For

• Analytical and detail-oriented with a strong drive for data accuracy and automation.
• Proactive in identifying inefficiencies and suggesting process or pipeline improvements.
• Able to communicate clearly across technical and business teams.
• Thrive in a fast-paced, startup-like environment with evolving priorities.
• Constant learner who keeps up with modern data tools and architecture trends.

Why you'd love to work with us

• Opportunity to build the data core of one of Asia's fastest-growing POD tech platforms.
• Work with real-world, large-scale eCommerce data powering automation and insights for global sellers.
• Modern toolset: Airflow, BigQuery, dbt, Power BI, Grafana, etc.
• Competitive salary & bonuses with 13th-month pay and quarterly performance incentives.
• 12 annual leave days + 5 sick leave days.
• Insurance contributions are based on 90% of the gross salary.
• PTI insurance is effective from day one of your labor contract.
• Cash bonuses on holidays, birthdays, and company events.
• Friendly, non-hierarchical culture with open communication and high ownership.
• Dedicated training roadmap and a clear career growth path.
• Weekly Happy Hours, annual company trips, and plenty of free drinks.

The recruitment process would be short and sweet

• Up to 2 rounds of interviews (Technical + Culture Fit).
• Quick offer decision and onboarding.