Data Engineer / Data Analyst

about the company.

Our client is a premier "One-Stop Solution" for global brands, specializing in the sourcing, design, and development of fashion & beauty accessories, GWPs, and sustainable packaging. Founded in 2003, our client is a key player that adapts processes to modern trends and societal needs.

They value a sustainable way-of-working, a healthy work-life balance, and prioritize growth and team culture above all else. about the team.

about the team.You will join a high-performing Digital Team currently launching several greenfield projects aimed at disrupting traditional, manual processes in the trade industry. Our client's team is a tight-knit group that operates in a creative and light atmosphere, focused on using new technology to provide efficient services to their global clients.

about the job.

As a Data Analyst with a growth path toward Data Engineering, you will bridge the gap between business insights and data infrastructure. While your primary focus is on analytics and visualization, you will be mentored to handle "light" data engineering tasks within the Azure ecosystem. Core responsibilities include:

• Developing and optimizing Power BI semantic models, reports, and dashboards to provide actionable insights for senior management.
• Extracting, transforming, and interpreting data from various sources to support business decision-making.
• Designing and implementing light data warehouse patterns (Medallion architecture: Bronze/Silver/Gold) using Delta Lake for reliability.
• Building and maintaining ETL/ELT pipelines using Python and Azure Data Factory.
• Collaborating with the team to automate manual processes and improve overall data flow efficiency.

skills & experiences required.

• Education: Bachelor’s degree in Computer Science, Data Analytics, or a related field.
• Technical Stack: Strong proficiency in Python (Pandas, PySpark) and complex SQL query optimization is mandatory.
• Visualization: Hands-on experience with Power BI, including security handling, DAX, and report optimization.
• Experience: Open to candidates with 1–2+ years of experience in Data Analytics; our client values talent and a proactive attitude.
• Mindset: A mandatory willingness to learn data engineering skills and tools such as Databricks and Azure Data Factory.
• Communication: Fluent in English (both professional and informal); ability to articulate insights to management is key.
• Bonus Skills: Fluency in Cantonese and experience with Databricks, Power Automate, or version control (Git) are highly regarded.

Interested parties, please apply via the link or send your resume to Cheryl.lau@randstad.com.hk

experience

2 years

skills

ETL, python, SQL, PowerBI

qualifications

ETL, python, SQL, PowerBI

education

Bachelor Degree