Senior Data Engineer

Hong Leong Bank

Shah Alam

On-site

MYR 120,000 - 190,000

Full time

3 days ago
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Job summary

Hong Leong Bank seeks a Senior Data Engineer and Developer to design, code and implement new data sources to be loaded into the data lake, enabling robust ETL/ELT pipelines for reporting and analytics.

The role requires 5-8 years in data engineering with 3-5 years in leadership, and hands-on experience with Informatica, SQL, and real-time data ingestion technologies. You will engage with cross-functional teams to deliver scalable data solutions within a bank environment.

Qualifications

  • Minimum 5-8 years in Data Engineering ETL, SQL and Big Data.
  • At least 3-5 years in a leadership or supervisory capacity.
  • Proven track record delivering complex, large-scale data projects (e.g., migrations, regulatory reporting).

Responsibilities

  • Design, code, and implement new data sources to be loaded into the data lake.
  • End-to-end pipeline design and delivery for ETL/ELT processes.
  • Oversee SDLC & engineering delivery with Agile/Waterfall methods.
  • Ensure data quality, governance, and health checks within a production data lake.

Skills

Data Engineering
ETL/ELT
SQL
Big Data
Leadership
Communication
Agile/Waterfall

Education

Bachelor's degree in CS/Computing or related

Tools

Informatica
SSIS
Kafka
Flink
Hudi
Hive
ClickHouse
Linux
Shell Scripting

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

Responsibility

If you are looking to excel and make a difference, take a closer look at us…

Overview

The Senior Data Engineer and Developer is responsible for designing, coding, and implementing new business application sources to be extracted, transformed and loaded to the data lake.

Functional Responsibilities
  • System Development Lifecycle & Engineering End-to-End Delivery
  • Accountable for all phases of the development process, including analysis, design, construction, testing, and implementation.
  • Technical Architecture
  • Provides a sound understanding of Big Data application development concepts/principles, alongside a strong knowledge of concepts and principles in other technology areas.
  • Advanced Problem Solving & Data Analysis
  • Root Cause Analysis: Solves and works through complex problems and projects via in-depth evaluation of business processes, system processes, and industry standards; performs root cause analyses.
  • Data Exploration: Utilizes ad-hoc techniques to perform on-the-fly analysis of data.
  • Strategic Evaluation: Provides evaluative judgment based on the analysis of factual information in complicated and unique situations.
  • Quality Assurance & Support
  • Post-Implementation Review and Support: Engages in post-implementation analysis of business usage to ensure successful system design and functionality.
  • Quality Ownership: Directly impacts the business by ensuring the quality of work provided by self and teammates.
  • Stakeholder Management & Collaboration
  • Technical Consulting: Consults with users, clients, and other technology groups on issues and recommends advanced programming solutions.
  • Cross-Functional Impact: Impacts own team and closely related work teams. Exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
  • Leadership & Soft Skills
  • Influence & Negotiation: Strong leadership, interpersonal, influence, negotiation, and written/verbal communication skills required.
Technical Responsibilities
  • Data Engineering & ETL/ELT Pipelines
  • End-to-End Pipeline Design: Designing and building complete ETL processes, moving and transforming data for all warehouse layers from source to downstream reporting.
  • ETL Tools: Hands-on experience with ETL tools like Informatica and building SSIS packages.
  • Real Time Data Ingestion: Must have experience with Real-Time Data Ingestion using modern streaming/analytics technologies (e.g., Kafka, Flink, Hudi, Hive, Clickhouse).
  • Operating Systems & Scripting: Hands-on experience with Linux open-source software platforms, alongside Shell Scripting for automation.
  • Database Design & Advanced SQL
  • Advanced Querying: Writes advanced SQL, including query tuning and optimization.
  • Schema & Architecture: Core expertise in Database Designing for data warehousing.
  • Data and Storage Optimization: Implementing data compression techniques for space- saving and storage efficiency.
  • Data Quality and Healthcheck
  • Data Governance: Implementing automated data quality checks to ensure data integrity.
  • Deployment Management: Managing deployment and debugging processes within a production Data Lake environment during implementation phase.
  • Methodology & Frameworks
  • Experience working within Agile and waterfall development model
Experience We Are Looking For
  • Minimum of 5-8 years of experience in Data Engineering ETL, SQL and Big data preferably within the Financial Services industry.
  • At least 3–5 years in a leadership or supervisory capacity.
  • Proven track record of delivering complex, large-scale data projects (e.g., system migrations, regulatory reporting).
About Hong Leong Bank

We are a leading financial institution in Malaysia backed by a century of entrepreneurial heritage. Providing comprehensive financial services guided by a Digital-at-the-Core ethos has earned us industry recognition and accolades for our innovative approach in making banking simpler and more effortless for our customers. Our digital and physical offerings span across a vast nationwide network in Malaysia, strengthened with an expanding regional presence in Singapore, Hong Kong, Vietnam, Cambodia, and China. We seek to strike a balance between diversity, inclusion and merit to achieve our mission of infusing diversity in thinking and skillsets into our organisation. Candidates are assessed based on merit and potential, in line with our mission to attract and recruit the best talent available. Expanding on our “Digital at the Core” ethos, we are progressively digitising the employee journey and experience to provide a strong foundation for our people to drive life-long learning, achieve their career aspirations and grow talent from within our organisation.

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