{"id":1948022,"url":"https://alion.io/job/grab-senior-data-engineer-4","title":"Senior Data Engineer","company":{"id":158,"name":"Grab","domain":"grab.com","url":"https://alion.io/company/grab","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":46,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Petaling Jaya, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":40000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1839},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Presto","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-06T08:05:10Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-07T01:39:35Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Grab and Our Workplace\nGrab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.\n Get to Know Our Team\nOur Data Engineering team builds the data backbone for a large-scale consumer platform. We industrialize data feeds, build and run ETL pipelines, and maintain the data warehouse layers that turn raw operational data into insight - in direct contact with product, business, and analytics stakeholders who depend on us daily.\nGet to Know the Role\nAs a Senior Data Engineer, you'll shape how we get data from source to decision. You'll build and industrialize data pipelines across our layered data architecture, be the engineering point of contact for business needs, and help decide which technologies best serve the data our stakeholders depend on - reporting, dashboards, product analytics, and downstream data science use cases.\nThe Critical Tasks You Will Perform\nYou will leverage large volumes of data from internal sources across the business\nYou will develop, maintain, and support production data pipelines (ETL, streaming, batch) using Python and SQL\nYou will act as the engineering point of contact for business stakeholders, gathering and assessing their data needs\nYou will ensure data architecture meets business and reporting requirements, including SLA commitments\nYou will recommend ways to deliver quality data more efficiently and identify opportunities to add value\nYou will run multiple concurrent pipeline projects and migrations from scoping through delivery\nYou will work closely with backend engineers on source-system migrations - re-pointing and validating data pipelines during active platform cutovers - to ensure no data loss or SLA breach\nWhy Join Us\nYou'll own the pipelines behind decision-making for a large-scale consumer platform - with direct influence over the technology choices, architecture, and data quality bar the business relies on.\nThis is a fully onsite role that will be based in either Malaysia, Singapore or China.\n What Essential Skills You Will Need\n4+ years of experience in data engineering, building and operating production data pipelines at scale\nStrong hands-on Python and SQL skills\nKnowledge of Big Data technologies such as PySpark, Presto, and Airflow\nSolid understanding of ETL and layered data warehousing patterns\nFluency in written and spoken English\nAbility to analyze, synthesize, and simplify complex data problems for varied audiences\nDemonstrated ability to work directly with business stakeholders to scope and deliver data solutions\nStrong communication skills - able to explain technical tradeoffs to non-technical stakeholders (analysts, product managers, business leads)\nProven ability to prioritize and manage multiple concurrent projects, meeting deadlines without compromising data quality\nComfortable working cross-functionally with backend/platform engineers to trace data lineage through service migrations\n Life at Grab\nWe care about your well-being at Grab, here are some of the global benefits we offer:\nWe have your back with Term Life Insurance and comprehensive Medical Insurance.\nWith GrabFlex, create a benefits package that suits your needs and aspirations.\nCelebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave\nWe have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.\nBalancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours\nWhat We Stand For At Grab\nWe are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. 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