We are seeking an experienced Data Engineer to join our dynamic team based in Hong Kong. This is an exciting opportunity for a talented professional with a passion for data infrastructure, engineering excellence, and innovation. The successful candidate will play a crucial role in designing, building, and maintaining high-performance data pipelines and systems, supporting a range of analytics and business intelligence initiatives.
The ideal candidate will have a strong foundation in data engineering principles and experience with handling large volumes of structured and unstructured data. Solid expertise in SQL, data modelling, ETL processes, and real-time data streaming is essential. Proficiency in programming languages such as Python, Java or Scala is required, alongside experience working with data warehouse technologies like Amazon Redshift, Google BigQuery or Snowflake. A deep understanding of cloud platforms, particularly AWS, GCP or Azure, is critical, as is familiarity with containerisation tools like Docker and orchestration frameworks such as Kubernetes or Airflow.
Applicants should have a degree in Computer Science, Engineering, Mathematics, or a related technical discipline. Professional experience of at least 3 years within data engineering or a similar field is required. A sound knowledge of data governance, security practices and compliance standards will be advantageous. Candidates must demonstrate the ability to collaborate cross-functionally with data scientists, analysts and software engineers to deliver scalable and reliable data solutions within agile methodologies.
This role demands excellent problem-solving skills and a keen attention to detail. Strong communication skills, both written and verbal, are essential in facilitating technical discussions and presenting solutions to varied stakeholders. The ability to manage multiple projects and meet changing deadlines while maintaining high-quality outputs is also key to success.
This is a full-time role based in Hong Kong, offering a competitive salary in Hong Kong Dollars (HKD) and opportunities to grow in a forward-thinking and data-driven environment. If you are excited by the challenge of working with vast datasets and building robust data solutions to drive strategic decisions, we encourage you to apply and become part of our innovative team.