{"id":2844204,"url":"https://alion.io/job/airwallex-staff-data-engineer-data-and-ai-customer-data-platform","title":"Staff Data Engineer, Data and AI, Customer Data Platform","company":{"id":3358,"name":"Airwallex","domain":"airwallex.com","url":"https://alion.io/company/airwallex","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":181,"ghost_share":0,"stale_share":0.309,"repost_share":0.011,"time_to_fill_p50_days":76,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":177000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":725},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-19T08:11:29Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-20T14:29:31Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Airwallex\nAirwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.\nWe started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.\nWe're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read ouroperating principles to see it in full.\nHow you'll make impact\nYou'll build the data foundations that power Airwallex's Customer Data Platform, helping teams turn customer information into trusted, reusable data for analytics, machine learning, operational decision-making, and practical AI applications.\nOwn scalable ETL pipelines across batch and real-time workflows, using technologies such as Databricks, DBT, and Spark\n\nBuild reliable data foundations across data warehouses, data consumption platforms, and modern cloud data infrastructure\n\nDevelop data models and data products that support operational needs, agentic workflows, machine learning, and business intelligence including star, snowflake, normalised, and denormalised designs\n\nApply data engineering and AI best practices to solve practical problems in creative and scalable ways\n\nPartner with globally distributed teams to deliver complex technical work with strong problem-solving, attention to detail, communication, and collaboration\n\nThis is an in-office role - you'll be in our Singapore office five days a week.\nWhat we're looking for\nEssentials\nA bachelor’s degree or higher in Computer Science, Information Systems, Mathematics, or a related field\n\nAt least seven years of experience designing and implementing scalable ETL pipelines, including batch and streaming workflows\n\nExperience with streaming technologies such as Apache Kafka or Apache Flink\n\nStrong proficiency in SQL, database management systems, data warehousing, and data modelling for business intelligence, machine learning, and operational needs\n\nSolid understanding of data schemas, including star, snowflake, normalised, and denormalised designs\n\nExcellent analytical and problem-solving abilities, attention to detail, and effective communication and collaboration skills\n\nAn understanding of AI and an interest in applying data engineering and AI in practical and creative ways\n\nPreferred\nFamiliarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow\n\nExperience working with globally distributed teams\n\nLearn more about your team\nThe Customer Data Platform team is building Airwallex’s trusted customer-data foundation-unifying customer entities, signals and metrics so that teams, products and AI systems can make better decisions and take action.\nApplicant Safety Policy: Fraud and Third-Party Recruiters\nTo protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.\nAirwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.\nEqual opportunity\nAirwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. 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