全职 Senior Data Engineer 工作, 薪水, Hays Recruitment Hong Kong 公司招聘中 - Ricebowl

Our client is a well-established infrastructure and services provider in Hong Kong, leveraging technology and data-driven solutions to support large-scale business operations and strategic transformation initiatives.

Your new role

• Develop and maintain scalable data pipelines to support enterprise-wide analytics and reporting initiatives.
• Partner with business stakeholders and solution teams to gather requirements and design data solutions that address operational and analytical needs.
• Build and optimise data integration, transformation, and processing workflows across multiple data sources.
• Collaborate with architects and engineering teams to ensure data quality, consistency, and governance standards are maintained.
• Design and implement robust ETL/ELT frameworks to support both cloud and on-premises data platforms.
• Deliver tools and frameworks that enable data analysts and data scientists to improve model development and data utilisation.
• Work closely with DataOps and DevOps teams to ensure reliable and efficient operation of data platforms.
• Support API development and data service integration alongside analytics and engineering teams.

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
• Minimum 5 years of experience in data engineering, business intelligence, or enterprise data solutions.
• Strong proficiency in SQL/PostgreSQL and experience integrating data across multiple systems and third-party platforms.
• Hands-on experience with Databricks, including Spark, notebooks, workflow pipelines, and end-to-end data solution delivery.
• Solid programming skills in Python, SQL scripting, Scala, or similar technologies.
• Experience working with relational databases, data warehouses, and NoSQL platforms such as MongoDB, Cassandra, or HBase.
• Exposure to enterprise applications and large-scale data ecosystems.
• Practical experience delivering Data Lake, Data Factory, reporting, dashboarding, or analytics projects.
• Familiarity with processing high-volume and complex datasets within cloud-based or on-premises environments.
• Experience developing solutions within data warehousing, big data, or unstructured data environments.
• Knowledge of Azure cloud technologies and modern data platforms.
• Exposure to the utilities, energy, infrastructure, or other asset-intensive industries is advantageous.
• Experience leveraging AI-assisted development tools such as GitHub Copilot.
• Understanding of emerging AI technologies
• Strong understanding of data architecture, data modelling, and data warehousing principles.
• Experience designing and implementing modern data integration frameworks.
• Able to work independently while managing multiple priorities in a fast-paced environment.
• Detail-oriented with strong analytical and problem-solving capabilities.
• Passionate about emerging AI and data engineering technologies and their business applications.

If you're interested in this role, click 'apply now' or contact Farrah Tang at *************. You may also share your updated CV via ************************