{"id":656544,"url":"https://alion.io/job/shoplineapp-data-engineer-singapore-shopline","title":"Data Engineer - Singapore - SHOPLINE","company":{"id":373278,"name":"SHOPLINE","domain":"shoplineapp.com","url":"https://alion.io/company/shoplineapp","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":110000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":50},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":true},{"name":"Hadoop","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-10T21:08:05Z","employer_posted_date":"2026-09-20","last_verified_at":"2026-11-05T03:18:48Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Data Engineer - SHOPLINE Singapore\nSHOPLINE is Asia’s largest smart commerce platform. With our customers in mind, we strive to deliver scalable commerce solutions to merchants of all sizes. We’re a full-featured platform with services including online store opening, O2O solution, retail POS systems, advertising placement, business strategy consultation, marketing, and more to empower merchants to succeed in omnichannel retailing and cross-border commerce.\nWhat you’ll be doing:\nResponsible for collecting, designing, storing and processing payments data in the eCommerce business. In charge of unifying and standardizing data to create holistic business digital assets.\n\nPlay a leading role in constructing business evaluation metrics, developing tactics in data services and creating data-driven tools in alignment with Products and Operations objectives.\n\nDefine underlying business data requirements. Build fitted models to enhance data quality and stability. Standardize and maintain data integrity to provide an efficient way in accessing data.\n\nWho we are looking for:\n5+ years of experience as a data engineer with a bachelor or advanced in Computer Science. Proven track record in data warehousing.\n\nDemonstrated strength in data modeling, development and governance. Preferred experience with building ETL pipelines.\n\nExpert skills in SQL and Python. Familiarity with big data technologies and solutions (Spark, Hadoop, Hive, etc.). 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