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
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.
As a Data Engineer at Sellerwix, you’ll play a key role in building and scaling the data backbone that powers our platform.
Job Description
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).
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.
Continuously improve system scalability, automation, and data observability.
Design, build, and maintain automated data pipelines that extract and process data from marketplaces (Amazon, Etsy, TikTok Shop, etc.) and POD suppliers.
Requirements
Must- Have:
Hands- on experience managing data warehouses (Redshift / BigQuery / Snowflake).
Solid proficiency in SQL and Python (Pandas, NumPy, SQLAlchemy).
Proven experience with ETL/ELT workflows (Airflow, AWS Glue, or GCP Dataflow).
Strong understanding of data modeling and performance optimization.
Experience building dashboards or data models using Power BI / Tableau / Looker / Superset.
2+ years of experience as a Data Engineer, preferably in eCommerce, SaaS, or POD domains.
Familiarity with RESTful APIs and real- time data synchronization.
Nice- to- Have:
Understanding of the Print- on- Demand lifecycle (listing → production → shipping → claim/refund).
Interest in ML data preparation or predictive analytics.
Experience implementing data observability or anomaly detection systems.
Experience with marketplace data structures (Amazon SP- API, TikTok Shop API, Etsy API).
Familiarity with dbt, Kafka, or Fivetran for modern data stack orchestration.
Who We Look For
Proactive in identifying inefficiencies and suggesting process or pipeline improvements.
Constant learner who keeps up with modern data tools and architecture trends.
Analytical and detail- oriented with a strong drive for data accuracy and automation.
Thrive in a fast- paced, startup- like environment with evolving priorities.
Able to communicate clearly across technical and business teams.
Why you’d love to work with us
Competitive salary & bonuses with 13th- month pay and quarterly performance incentives.
Work with real- world, large- scale eCommerce data powering automation and insights for global sellers.
Opportunity to build the data core of one of Asia’s fastest- growing POD tech platforms.
Friendly, non- hierarchical culture with open communication and high ownership.
Cash bonuses on holidays, birthdays, and company events.
Dedicated training roadmap and a clear career growth path.
12 annual leave days + 5 sick leave days.
Modern toolset: Airflow, BigQuery, dbt, Power BI, Grafana, etc.
PTI insurance is effective from day one of your labor contract.
Weekly Happy Hours, annual company trips, and plenty of free drinks.
The recruitment process would be short and sweet!
Quick offer decision and onboarding.
Up to 2 rounds of interviews (Technical + Culture Fit).
