Data Engineer

Overview

Join to apply for the Data Engineer - AM/MGR role at OCBC .

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. We invite you to build the bank of the future, innovate the way we deliver financial services, and enjoy a vibrant, future-ready career.

Your Opportunity

This is the broad job description of the job profile. Definitive job description should be reviewed and discussed between you and your manager.

Data Engineer

Why Join

Imagine being part of a team that designs and develops innovative digital solutions for OCBC's customers. As an Application Development Manager, you'll play a key role in shaping the bank's technology landscape and delivering exceptional customer experiences. You'll have the opportunity to work on exciting projects, collaborate with talented professionals, and grow your career in a dynamic and supportive environment.

How you succeed

To excel in this role, you'll need to combine technical expertise with business acumen and collaboration skills. You'll work closely with stakeholders to understand their needs, design and develop solutions that meet those needs, and ensure seamless integration with existing systems. Your ability to balance technical complexity with business requirements will be crucial to your success.

What you do

• Based in the Group Data Office - Data Engineering team, you will be responsible for developing and enhancing data pipelines and architecture
• Create and maintain the optimal data pipeline to enable ingestion from a wide variety of structured and semi-structured data sources
• Working with business users to define and understand business requirements to develop and implement solutions
• Support development and deployment of applications utilising the data pipelines to provide actionable insights
• Involve in UAT execution with a focus on strategic testing processes and procedures to ensure that business standards and specifications are met
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and cleansing/transformation
• Support various business functions by collaborating with multiple stakeholders - business, IT, and vendors independently

Who you are

• Minimum 3 to 5 years of working experience in Data Engineering, Big Data solutions, and analytics functions
• Solid background in traditional structured database environments such as Teradata / Oracle, SQL & PL/SQL
• Extensive knowledge on Hadoop ecosystem components such as HIVE, Impala, Kudu, HDFS, Spark, Flink
• Fluent in structured and semi-structured data, its management, and modern data transformation methodologies
• Experience in data transformation tools such as dbt, responsible for building models and orchestrate using tools such as Dagster, Control-M
• Knowledge on data warehouse concepts
• Understanding of banking with exposure to consumer business functions is preferred
• Excellent communication and collaboration skills, with the ability to work with diverse stakeholders
• Energetic personality with an innovative, self-starting spirit. Someone that likes to ask “why?”

What we offer

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Banking

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