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Data Engineer, ETL & Data Pipeline

Updated about 1 month ago

Job Description helps fashion e-commerce uncover consumer's shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1.

We are looking for a Data Engineer, to not only build data pipelines but also extend the next generation of data tools. In this role, you will define and find solutions to complex and ambiguous problems. You will be leveraging your deep knowledge and experience to collaboratively define the technical vision, strategy, and architecture for ETL, Logging, and Streaming.


  • Craft and own the optimal data processing architecture and systems for new data and ETL pipelines/analytics applications.
  • Build high-performance scalable online caches and real-time logging systems.
  • Support existing processes running in production.
  • Build visualizations to provide insights into the data & metrics.
  • Build and data (dimensional) model core datasets and analytics applications and make them scalable and fault-tolerant.
  • Drive internal process improvements and automating manual processes for data quality checks and SLA management.

    • Healthcare (Medical, Dental, Vision)
    • Retirement savings or 401(K)
    • Paid time off (Annual; 10 days)
    • Maternity/Paternity leave
    • Life insurance
    • Tuition reimbursement and training
    • Personal facilities (Laptop, Screen)
    • Free health screening
    • Free snacks and drinks
    • Open and creative environment
    • Irregular dinner/outing, happy hours
    • Extended annual time off
    • Paid time off to volunteer (Birthday, Menstrual, Funeral)
    • Flexible schedules and working time
    • Remote working optionally
    • Employee stock ownership plan (ESOP)


    Culture/6 Core Values:

    Grit - We thrive outside of our comfort zone, pushing ourselves to go even further. We think long-term and constantly strive to be better, even if things don’t always go as expected.

    Trust - We earn that trust by listening to each other, following through with our commitments, and keeping our words. We exercise transparency within the company, our customers, and our community.

    Humility - We learn from everyone and everywhere, and we approach each new challenge knowing that we may not have all the answers.

    Empathy - We craft our intention to keep curious about the industry, business, and practical scenarios that we purify the insights and forge the approaches.

    Candor - We are open and honest. We give each other praise and criticism because we believe each team member is as important as the other.

    Craftsmanship - We simplify, innovate, perfect, and start over until everything we touch enhances each life it touches.



    Taipei City
    (Near Nanjing Sanmin MRT Station)




    Remarks: is an Equal Employment Opportunity employer. conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or any other characteristic protected by law.


    [Minimum Qualifications]

    Background & Skills:

    • BS/BA in Technical Field, Computer Science, or Mathematics.
    • Experience with writing complex SQL statements.
    • Experience with data engineering and ETL best practices.
    • Experience with schema design and dimensional data modeling.
    • Experience with anomaly/outlier detection.

    Working Style:

    • Communication skills including the ability to identify and communicate data-driven insights.
    • Ability to analyze data to identify opportunities, deliverables, gaps, and inconsistencies.
    • Flexibility and comfort working in a dynamic, team environment with a possible remote organization with minimal documentation and process.


    [Preferred Qualifications] (Optionally, the more, the better)

    Background & Skills:

    • Knowledge in Python or Java or Scala or Pandas.
    • Designing and implementing real-time pipelines.
    • Experience with data quality and validation.
    • Experience with SQL performance tuning and e2e process optimization.


    • Experience with ELK.
    • Experience with R and working with Data Scientists.
    • Experience with filesystems, server architectures, and distributed systems.
    • Experience collaborating, defining, and communicating complex technical concepts to a broad variety of audiences.

    Interview process

    1. CV screening
    2. Culture fit interview
    3. Assignment project
    4. Professional interview
    5. Trial days
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    3 years of experience required
    840,000 ~ 1,200,000 TWD / year
    Optional Remote Work
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    About us is a SaaS company serving the ecommerce brands since 2016.
    🏆 2019 RecSys Reward
    🏆 2020 Forbes Top 25 Machine Learning Startups

    • Our clients care deeply about their shoppers and understand the value of unique online experiences.
    • We specialize in supporting fashion ecommerce clients in the apparel, accessories, and cosmetics verticals.
    • Our Customer-Intent Web App adds value to our client’s first-party data via automated preference analysis and onsite personalized recommendations.
    • The app is powered by AI and machine learning technology developed in house by industry leading engineers and fashion savvy marketers.
    • We are a young, fun, and diversified team that believes that company growth is driven by everyone’s growth. Together, from good to great — join us today! 是一間多元、年輕且有遠景的軟體新創公司,於 2016 年創立便投入時尚電商領域,以美學 AI 為客戶打造一流的推薦系統,並與客戶一起成長,紮實的技術底蘊獲得海外創投青睞,正快速發展當中!
    在 我們設計與開發一流的軟體服務,運用最新的 AI 與機器學習技術,協助客戶深入了解消費者的喜好與需求,將對的商品展示給對的人,打造獨一無二的購物體驗。


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    Co-founder & CEO
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    Co-founder & COO
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    Mid-Senior level
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    600K ~ 840K TWD / year

    Mid-Senior level
    840K ~ 1.2M TWD / year