Data engineer (SQL), Assistant Manager/ Manager

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

 Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

 We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have strong hands-on experience in data engineering, with expertise in SQL, Unix/shell scripting, Python, and cloud data platforms. This role requires a proactive individual who can collaborate effectively within a team and contribute to building scalable, efficient data pipelines and solutions. Fresh graduates with less than 3 years’ experience .

Key Responsibilities:

• Design, develop, and maintain robust data pipelines and ETL processes to support analytics and business intelligence needs.

• Write efficient, optimized SQL queries for data extraction, transformation, and loading.

• Develop and maintain Unix/shell scripts to automate data workflows and system tasks.

• Utilize Python for data engineering tasks including data ingestion, transformation, and integration.

• Implement and manage cloud-based data engineering solutions on platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver scalable solutions.

• Monitor data quality, troubleshoot data issues, and optimize data workflows for performance and reliability.

• Apply basic web design and web technologies knowledge to support data visualization and dashboard integration where applicable.

• Stay updated with emerging data engineering trends, tools, and best practices.

Required Technical Skills:

• Strong experience in data engineering concepts and best practices.

• Proficient in SQL for complex querying and data manipulation.

• Solid experience with Unix/Linux shell scripting.

• Proficient in Python programming with a focus on data engineering libraries and frameworks.

• Basic understanding of web design and web technologies (HTML, CSS, JavaScript basics).

• Experience with cloud data engineering platforms such as GCP, AWS, or Azure.

• Familiarity with data storage solutions (e.g., relational databases, data lakes, data warehouses).

Soft Skills:

• Team Player: Ability to work collaboratively in a cross-functional team environment.

• Problem Solver: Strong analytical and troubleshooting skills to diagnose and resolve data-related issues.

• Effective Communicator: Clear and concise communication skills to articulate technical concepts to both technical and non-technical stakeholders.

• Adaptability: Willingness to learn new technologies and adapt to changing project requirements.

• Attention to Detail: Meticulous in data handling, pipeline design, and documentation.

• Time Management: Ability to prioritize tasks and manage time effectively to meet deadlines.

• Proactive Attitude: Self-starter who takes initiative and ownership of tasks and projects.

Preferred Qualifications (Added advantage):

• Bachelor’s degree or Diploma in computer science, Engineering, Information Technology, or a related field.

• Experience with big data technologies (e.g., Hadoop, Spark).

• Knowledge of containerization and orchestration tools (Docker, Kubernetes).

• Familiarity with CI/CD pipelines and version control systems (Git).

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.