Senior Data Engineer | Azure Data Platform | 50k+

3 days ago


Hong Kong Island, Hong Kong SAR China Techforce Group Limited Full time

We are looking for a Senior Data Engineer to build and scale a modern cloud data platform that powers enterprise-wide finance and supply chain analytics for a leading organisation. You will join a central data team responsible for designing, implementing, and operating a Databricks‑based analytics platform on Azure. The role focuses on delivering robust data pipelines, high-quality datasets, and strong governance to enable reporting, self‑service analytics, and advanced use cases across multiple business units. Responsibilities Design, build, and maintain batch and incremental data pipelines using Azure Databricks and Azure Data Factory to ingest data from ERP and operational systems into Azure Data Lake Storage Gen2. Develop scalable data models and curated layers (e.g. bronze/silver/gold or equivalent) to support BI, finance, and operations analytics. Implement data quality checks, monitoring, and alerting to ensure accuracy, completeness, and timeliness of critical datasets. Collaborate closely with finance, supply chain, IT, and other stakeholders to translate business requirements into efficient, reliable data solutions. Contribute to data governance, including metadata management, lineage, and access control in coordination with the data platform and security teams. Apply engineering best practices (version control, code review, testing, CI/CD) to all pipelines and data products. Provide technical guidance and mentorship to junior engineers and analysts on Spark, Databricks, and Azure data services. Requirements 7+ years of hands‑on data engineering experience in cloud environments, preferably on Azure. Strong proficiency in PySpark and SQL, including performance tuning on large datasets. Proven experience with Azure Databricks, Azure Data Factory, and Azure Data Lake Storage Gen2 (or equivalent tools on other clouds). Solid understanding of modern data warehousing or lakehouse architectures, dimensional modelling, and ELT/ETL best practices. Experience building and operating production‑grade data pipelines, including testing, monitoring, and incident handling. Familiarity with data governance concepts such as RBAC, data classification, and cataloguing. Excellent communication skills in English and Cantonese. Your application will include the following questions: Which of the following statements best describes your right to work in Hong Kong? What's your expected monthly basic salary? How many years' experience do you have as a data engineer? Which of the following languages are you fluent in? How many years' experience do you have as an Azure Engineer? #J-18808-Ljbffr



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