【TENG1501】Data Engineering Manager

SHOPLINE TEAM

工作內容

SHOPLINE 全球智慧開店平台,是提供品牌一舉創建、管理線上與線下商店的一站式智慧開店服務。

以品牌電商架站平台為核心,整合網站設計、商品管理、金物流服務以及行銷導流工具,為賣家提供簡單、好上手的架站服務,是亞洲最大的網路開店平台,此外,SHOPLINE 也提供跨境、O2O 虛實整合、POS 系統等全通路解決方案。自 2013 年創辦以來,全球已經有超過 350,000 個品牌使用 SHOPLINE 的服務成功開店,讓 SHOPLINE 成為在亞洲市場的行業領軍者。

SHOPLINE 創新的服務與國際化的團隊專注為品牌賣家打造最好的產品,於 2014 年獲選加入矽谷著名初創育成機構 500startups 孵育計畫,是香港多年來第二間加入的團隊,更在 2016 年選入阿里巴巴集團的香港創業基金首批三家名單,並在 2019 年初,獲得了最新一輪的資金挹注。

我們保有外商的製度福利與新創公司的彈性,你還等什麼!
歡迎對 startup 有熱誠的人才加入我們的頂尖團隊!

【About the Role】
The leader of the Data team, reports directly to the Engineering Director.
The Data Team Lead will be the strategic partner of the VP as well as other business teams in solving business problems and providing business insights.
The Data Team Lead will be an expert in machine learning, data model building, and initiate new projects to support business decision-making.
Lead and manage a team of Data Engineers, you will also have to provide training and mentoring to your members in order to bring your data models and feature into production.
You will work in close partnership with our product, design, engineering, sales, finance, and marketing leadership to build, orchestrate, and deliver innovative and disruptive technology. 

【What you will be doing】
- Own and drive the implementation of product strategy and development to achieve business growth goals
- Manage product budget, resources, and personnel to execute product vision.
- Create & execute machine learning engineering strategy and architecture
- Think outside of the current technology/stack limitations to push the boundaries on what is possible and deliver feasible solutions collaboratively
- Partner with product leaders to understand technical pain points for data scientists and other engineers and translate them into clear and robust engineering solutions
- Advise engineering and product management on the technical roadmap, ensuring that the vision aligns with broader company objectives 

條件要求

【Who we are looking for】
- 8+ years of experience in software engineering and designing systems at scale
- Experience developing data pipelines, and orchestrating the deployment of ML models
- Experience developing tools and platforms for Data Scientists with the goal to accelerate model development, training, deployment, and monitoring
- Hands-on experience with technologies such as Python, Kubernetees, Jenkins, Hadoop, Spark
- Strong communication skill and entrepreneur mindset to build new practice for the business
- High learning agility to always bring in new technologies and tools to the company
- Preferably with experience in building data models from scratch or building the Data team from scratch

遠端型態

完全遠端面試
部分遠端工作

Hybrid Working Mode: 每週至少進公司兩天

員工福利

法定項目

勞保、健保、特別休假、勞退、婚假

其他福利

1. 彈性工作時間 / Flexible work hours
2. 彈性工作地點 / Flexible work location
3. 第一年即享有15天年假 / First year 15 days of annual leave
4. 生日假 / Birthday leave
5. 給薪病假 / Full pay sick leave
6. 給薪家庭照顧假 / Paid family care leave
7. 產假90天 / Maternity leave 90 days
8. 陪產假10天 / Paternity leave 10 days
9. 公司贊助彈性福利 / Company sponsored SHOPLINEFlex
10. 每季部門聚餐補助 $1,000 / Company sponsored quarterly team dinner
11. 平等的公司成員架構 / Flat team structure
12. 優質薪資待遇 / Competitive salary package
13. 有機會驅動產品導向,只要你有好的想法! / Ability to drive product direction

薪資範圍

NT$ 1,500,000 - 3,000,000 (年薪)