Your new company
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
What you'll need to succeed
What you need to do now
If you're interested in this role, click 'apply now' or contact Farrah Tang at 5741 7795. You may also share your updated CV via farrah.tang@hays.com.hk.
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.
What you'll need to succeed
- 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.
What you need to do now
If you're interested in this role, click 'apply now' or contact Farrah Tang at 5741 7795. You may also share your updated CV via farrah.tang@hays.com.hk.
Job ID 1289109
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Hays Hong Kong Limited ("Hays Hong Kong") is the one of the leading specialist recruitment companies in Hong Kong in recruiting qualified, professiona...
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