Our client is seeking an experienced data professional to lead and optimise data engineering initiatives. This role involves designing robust data architectures, managing large-scale data platforms, and enabling advanced analytics to support business growth. You will play a key part in driving innovation and ensuring data solutions meet the highest standards of scalability, security, and performance.
Your new role - Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence.
- Oversee data integration from multiple sources, ensuring accuracy, consistency, and reliability.
- Implement best practices for data governance, security, and compliance.
- Lead and mentor a team of data engineers, fostering a culture of collaboration and continuous improvement.
- Partner with data scientists, analysts, and business stakeholders to deliver actionable insights.
- Optimise data workflows and introduce automation to improve efficiency and reduce operational costs.
- Stay current with emerging technologies and trends in data engineering and cloud platforms.
What You'll Need to Succeed - Bachelor's degree in Computer Science, Data Engineering, or related field
- 8+ years of experience in data engineering
- Strong expertise in SQL, Python, and big data technologies (e.g., Hadoop, Spark).
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Proven track record in building and managing large-scale data pipelines and ETL processes.
- Knowledge of data governance, security, and compliance frameworks.
- Proficiency in English and Chinese (Cantonese and Putonghua).
What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.