Morgan Half International (Hong Kong) Limited Hiring! Full Time Data Engineer | ETL - Python - SQL in Kowloon Peninsula, Hong Kong - Ricebowl

About the role

We are seeking a talented Data Engineer to join our client’s software engineering team. This is a full-time position where you will play a crucial role in designing, building and maintaining our client’s data infrastructure. As a Data Engineer specialising in ETL processes, you will be instrumental in enabling our organisation to harness the power of data, supporting strategic decision-making and driving business value across the company. This role offers the opportunity to work with cutting-edge technologies and contribute to the development of scalable data solutions that support our growing business needs.

Key responsibilities

1. Design and develop robust ETL (Extract, Transform, Load) pipelines to process and integrate data from multiple sources

2. Write clean, efficient and well-documented Python code to build data processing applications and automation scripts

3. Develop and optimise complex SQL queries to extract, transform and load large datasets into data warehouses and analytics platforms

4. Collaborate with data analysts, business stakeholders and software engineers to understand data requirements and translate them into technical solutions

5. Monitor and troubleshoot data pipeline performance, identifying bottlenecks and implementing optimisations

6. Maintain data quality standards and implement validation checks within ETL processes

7. Document technical specifications, processes and architectural decisions for data systems

8. Participate in code reviews and contribute to continuous improvement of data engineering practices

9. Support deployment and maintenance of data solutions in production environments

What we're looking for

1. 2+ years of professional experience as a Data Engineer or in a similar data-focused role

2. Strong proficiency in Python programming, with demonstrated ability to write production-quality code

3. Advanced SQL skills, including experience with complex queries, query optimisation and database design

4. Solid experience designing and implementing ETL pipelines using tools such as Apache Airflow, Talend, Informatica or similar platforms

5. Familiarity with data warehousing concepts and experience working with platforms such as Snowflake, Redshift, BigQuery or similar cloud data solutions

6. Experience with version control systems (Git) and agile development methodologies

7. Strong problem-solving skills and the ability to troubleshoot complex data issues

8. Excellent communication skills and the ability to work effectively in cross-functional teams

9. Experience with cloud platforms (AWS, Azure, Google Cloud) is highly desirable

10. Knowledge of data governance, data security and compliance best practices is advantageous

Apply now

If you believe you are a strong fit for this Data Engineer role and are excited about the opportunity to contribute to our data engineering initiatives, we would love to hear from you.