Data Engineer

Title: Data Engineer, APAC D2C (Databricks)THAI CITIZENS ONLY - No Work Permit ProvidedLong-term Contracting roleHybrid, Bangkok CityWe’re hiring a hands-on Data Engineer to join an APAC D2C (eCommerce) data domain, building and maintaining robust pipelines and analytics-ready data models on an enterprise Databricks platform.What you’ll doBuild API-based ingestion pipelines (OAuth, pagination, incremental loads, token refresh handling) for marketplace and digital commerce data sources.Develop and optimize pipelines in Databricks using PySpark + SQL (Delta Lake, Spark optimization, partitioning strategies).Implement and maintain medallion architecture (bronze → silver → curated gold).Design scalable fact/dimension data models aligned with enterprise standards to support multi-market reporting and insights.Own schema evolution, data quality validation, and performance tuning; troubleshoot pipeline failures and data freshness issues.Collaborate with the central enterprise data platform team (DXO) to meet governance and architecture standards.Contribute to CI/CD workflows and version-controlled development practices.Key clarifications 1) Cloud platform (flexible)No strict requirement for a specific cloud provider beyond Databricks (core platform for data engineering & analytics).Experience with Azure / AWS / GCP is beneficial but not mandatory, since most work happens inside Databricks on an enterprise platform managed by DXO.2) Data volume & scaleSupporting APAC D2C data across 8 markets in Asia.Data sources include marketplace APIs (e.g., Shopee, Lazada), digital commerce platforms, branded webstores, and related commercial datasets.The emphasis is not “big data at extreme scale,” but reliable ingestion + strong analytical data modelling for multi-market reporting.3) Primary use cases (engineering foundations)Initial focus: foundational pipelines + analytics data models enabling eCommerce performance analysis.Typical use cases:Commercial performance reportingMarketplace sales analysisPricing & promotion insightsCategory & product performance analyticsForecasting / advanced data science is not the primary scope (this is a data engineering foundations role).4) OrchestrationCurrent orchestration is handled using Airflow.5) CI/CD & development workflowStandard Git-based workflows aligned to enterprise data platform practices managed by DXO.Candidates should be comfortable with version control (Git) and structured collaboration; implementation details may vary by platform standards.What we’re looking forMust-havesProfessional proficiency in English (speaking, reading, writing)5–7 years in Data Engineering (or similar).Strong hands-on Databricks experience (Delta Lake, Spark optimization, partitioning).Proven ability building production-grade REST API ingestion pipelines.Strong SQL + PySpark.Solid experience designing fact/dimension models in enterprise environments.Comfortable with Git and collaborative development workflows; independent problem-solver.Nice-to-haveseCommerce / marketplace data exposure; multi-country / multi-currency datasets.Familiarity with Power BI modelling and downstream BI needs; federated/data mesh environments.What success looks like in this roleStable, automated ingestion pipelines for marketplace/digital commerce data.Clean, scalable silver-layer models ready for BI consumption and multi-market analytics.Improved freshness SLAs, fewer pipeline failures, strong cross-team collaboration (DXO + BI).