Your new company
Our client is a well-established business currently undergoing an enterprise-level data transformation. To support their expanding data capabilities, they are seeking a Senior Data Engineer to join their team.

Your new role

• Design, develop, and maintain robust data processing pipelines and end-to-end ETL/ELT workflows.
• Build and optimize scalable data platforms capable of processing and analyzing large volumes of structured and unstructured data securely and efficiently.
• Develop, maintain, and enhance enterprise data platforms to support business intelligence, analytics, and reporting requirements.
• Integrate and manage data flows across enterprise applications, databases, cloud platforms, and third-party systems.
• Design and implement data integration frameworks within complex enterprise application environments.
• Develop and maintain data solutions using modern cloud-based technologies and data engineering best practices.
• Support the implementation and optimization of Data Lake, Data Warehouse, and Lakehouse architectures.
• Collaborate with analytics and business teams to deliver advanced data visualizations, reporting solutions, and actionable insights.

What you'll need to succeed

• Bachelor's Degree or above in Computer Science, Statistics, Mathematics, Information Systems, or a related discipline.
• Minimum 5 years of hands-on experience in data engineering, data platform development, or related disciplines. Candidates with 3+ years of relevant experience may be considered for the Data Engineer position.
• Proven experience designing and developing data infrastructure using technologies such as PySpark, Kafka, Hadoop, or similar big data platforms.
• Strong experience building and maintaining ETL/ELT pipelines, data migration solutions, and complex integration layers between enterprise applications and centralized cloud/on-premises environments.
• Hands-on experience with Databricks for data engineering, data processing, and analytics workloads.
• Experince supporting data ingestion, transformation, and synchronization across enterprise systems such as ERP, CRM, BI platforms, and other business-critical applications.
• Experience working with at least one major cloud platform, including Microsoft Azure (preferred), AWS, or GCP.
• Strong proficiency in Python and SQL; experience with orchestration tools such as Apache Airflow or similar technologies would be advantageous.
• Good understanding of data lake, data warehouse architectures and implementation methodologies.
• Knowledge of data modellng, database design, and data warehousing concepts.
• Excellent problem-solving, stakeholder management, and communication skills.
• Proficient in spoken and written English, and currently based in Hong Kong with a valid work permit.
• Exposure to, or curiosity to explore, modern data, AI, and Generative AI technologies, with a willingness to continuously learn and adopt new tools and best practices.

What you need to do now
If you're interested in this exciting opportunity, please don't delay and click APPLY NOW. For more information, please contact Kelvin Chu at kelvin.chu@hays.com.hk.