Internship: Group Operations & Technology, Group Engineering - Enterprise Data Management [January - May 2026]

ocbc; Singapore; On-site; SGD 11,000 - 22,000; Full time

Job summary

OCBC Bank in Singapore invites you to join the Data Engineering Internship, where you’ll gain hands-on experience supporting enterprise‑wide data initiatives that leverage data, automation, and AI to improve processes and decision‑making.

You will work with modern data platforms, data pipelines, and AI‑powered solutions, learning from experienced technology professionals while contributing to scalable data solutions across the bank.

Qualifications

• Strong analytical and problem‑solving skills.
• Interest in data engineering, analytics, automation and AI.
• Basic understanding of databases, data modelling and ETL processes.
• Familiarity with Python, SQL, or other data processing tools.
• Exposure to cloud platforms, data analytics technologies, or AI/ML concepts would be advantageous.
• Strong attention to detail and a commitment to data quality.
• Good communication and collaboration skills.
• Proactive, adaptable, and eager to learn new technologies and business domains.

Responsibilities

• Support enterprise data engineering initiatives focused on process improvement, automation, and innovation.
• Assist in the development, enhancement, and maintenance of data pipelines and data platforms.
• Support data preparation, integration, and validation activities to ensure data quality and reliability.
• Contribute to data analysis and reporting to support business and technology decision‑making.
• Assist in identifying opportunities to automate manual processes and improve operational efficiency.
• Support the exploration and implementation of AI‑driven solutions to address business challenges
• Collaborate with technology and business teams to gather requirements and translate them into data solutions
• Participate in testing, documentation, and continuous improvement initiatives
• Provide support on other projects and tasks as assigned

Skills

Analytical thinking

Problem solving

Communication

Collaboration

Adaptability

Education

Undergraduate/Graduate/Postgraduate degree in CS/Data Science/IS/Engineering/Analytics

Job description

WHO WE ARE:

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.

Why Join

Be part of a team that is driving the future of data and AI within OCBC. As a Data Engineering Intern, you'll gain hands-on experience supporting enterprise-wide initiatives that leverage data, automation, and artificial intelligence to improve business processes and decision-making.

You’ll have the opportunity to work with modern data platforms, data engineering tools, and AI-powered solutions while learning from experienced technology professionals. This internship offers valuable exposure to large-scale data ecosystems and the technologies that enable innovation across the bank.

How You Succeed

To excel in this role, you'll be a curious and analytical learner with a passion for solving problems using data and technology. You'll work closely with engineers and business stakeholders to understand challenges, identify opportunities for improvement, and support the delivery of data-driven solutions.

Success comes from your ability to think critically, learn quickly, and adapt to evolving technologies. Your willingness to explore new ideas, collaborate with others, and apply analytical thinking will enable you to make meaningful contributions throughout your internship.

What You Do

• Support enterprise data engineering initiatives focused on process improvement, automation, and innovation
• Assist in the development, enhancement, and maintenance of data pipelines and data platforms
• Support data preparation, integration, and validation activities to ensure data quality and reliability
• Contribute to data analysis and reporting to support business and technology decision‑making
• Assist in identifying opportunities to automate manual processes and improve operational efficiency
• Support the exploration and implementation of AI-driven solutions to address business challengesli>
• Collaborate with technology and business teams to gather requirements and translate them into data solutions
• Participate in testing, documentation, and continuous improvement initiatives
• Provide support on other projects and tasks as assigned

Who You Work With

Group Engineering, within the Group Operations & Technology Division, plays a critical role in enabling OCBC's digital and technology transformation. The team leverages modern engineering practices, data platforms, and emerging technologies to deliver innovative solutions that support the bank's businesses and customers.

As part of the Data Engineering team, you'll work alongside engineers, data professionals, and business stakeholders to deliver scalable and impactful data solutions. You'll gain exposure to enterprise data platforms, automation initiatives, and AI-enabled technologies that shape the future of banking.

Who You Are

• Currently pursuing or recently completed an Undergraduate, Graduate, or Postgraduate degree in Computer Science, Data Science, Information Systems, Engineering, Analytics, or a related discipline
• Strong analytical and problem‑solving skills
• Interest in data engineering, data analytics, automation, and artificial intelligence
• Basic understanding of databases, data modelling, and ETL processes
• Familiarity with Python, SQL, or other data processing tools
• Exposure to cloud platforms, data analytics technologies, or AI/ML concepts would be advantageous
• Strong attention to detail and a commitment to data quality
• Good communication and collaboration skills
• Proactive, adaptable, and eager to learn new technologies and business domains

Learning Objectives

• Exposure to enterprise‑scale data engineering and analytics initiatives
• Hands‑on experience with data pipelines, databases, and modern data platforms
• Practical understanding of data quality, integration, and governance principles
• Opportunities to develop automation and process improvement skills
• Exposure to AI and emerging technologies within a banking environment
• Experience working with cross‑functional teams to deliver data‑driven business solutions
• Enhanced analyti