Data Engineer

KLK OLEO; Selangor; On-site; MYR 60,000 - 100,000; Full time

Job summary

KLK OLEO is hiring a data management professional based in Mutiara Damansara, Petaling Jaya to oversee MS SQL Server, PostgreSQL and DuckDB. You will ensure stability, build scalable data pipelines, and drive data quality across analytics workloads.

Responsibilities include optimizing T-SQL, scheduling workflows, and contributing to a data lakehouse transformation while establishing governance and documentation standards.

Qualifications

• Experience with data warehousing concepts and dimensional modeling (star/snowflake).
• Proficiency in MS SQL Server, T-SQL development, and performance tuning.
• Knowledge of data pipelines, ETL/ELT, and data governance practices.

Responsibilities

• Support end-to-end management of MS SQL Server, PostgreSQL and DuckDB databases for stability and reliability.
• Develop scalable data pipelines and optimize end-to-end data workflows.
• Document data lineage, definitions and pipeline logic for team accessibility.

Skills

SQL

PowerShell

Python

T-SQL

SSIS

ADF

Data modelling

Education

Bachelor's degree in IT/CS/Data Analytics/Engineering

Tools

MS SQL Server

PostgreSQL

DuckDB

ADLS2

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.

THIS POSITION IS TO BE BASED IN MUTIARA DAMANSARA, PETALING JAYA

ROLE AND RESPONSIBILITIES

A. DATA MANAGEMENT & TECHNICAL DEVELOPMENT

Supports the end-to-end management of MS SQL Server, PostgreSQL and DuckDB (DuckLake) database systems, ensuring their stability, scalability and reliability.

Monitor daily job statuses and perform troubleshoot and recovery when necessary.

Develop scalable and low latency end-to-end data pipelines in accordance to best practices.

Write, optimize and troubleshoot T-SQL queries, stored procedures, views, functions and triggers to support data transformation, loading, and validation logic.

Orchestrate and schedule complex data workflows, ensuring timely and reliable data delivery.

Implement and manage monitoring solutions to proactively address and prevent performance issues.

Develop and maintain staging structures and data models (star and snowflake schemas), ensuring data is structured for efficient querying and reliable analytical consumption.

Contribute to data quality validation, reconciliation checks, and exception handling across data pipelines, ensuring completeness, accuracy, and consistency of data.

Document pipeline logic, data lineage, transformation rules, table definitions and data dictionary entries, ensuring technical artefacts are kept current and accessible to the team.

B. OPTIMIZATION & PLATFORM TRANSFORMATION

Basic understanding and assessment of SSIS data pipelines to refactor SQL scripts and migrate them to the new data lakehouse environment.

Participate in discussions and debates on technical and architectural topics that are related to the data warehouse.

Participate in peer reviews and knowledge-sharing sessions, contributes to a culture of continuous improvement and cross-training across both legacy and modern data tooling within the team.

Identify opportunities to optimize data processes, reduce complexities and costs.

Contribute to the establishment of a data governance framework. Support in driving data standards and strategy for maintaining a proper and traceable governance model for all end-to-end data assets.

C. BUSINESS PARTNERSHIP & PROJECT MANAGEMENT

Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

Assess, evaluate and prioritize new and change requests to ensure they are evaluated for strategic fit and feasibility before assigning them to the development pipeline.

Provide clear and timely communication on project status, risks and progress, keeping business stakeholders and ITBS management well-informed throughout the delivery lifecycle.

Job Success Requirements

Minimum of 1 years’ experience in business solutioning, data / analytics consulting or a data warehouse delivery role, with a track record of partnering directly with business stakeholders.

Understanding of data warehousing concepts, including dimensional modelling (star & snowflake schemas), slowly changing dimensions (SCD), and staging/ODS design patterns, with the ability to apply these principles to schema design and pipeline architecture decisions.

Proficiency in MS SQL Server, including database design, T-SQL development (stored procedures, views, functions, triggers), query optimisation and performance tuning.

Detail-oriented and methodical, with a structured approach to documentation, data quality validation, and issue escalation, combined with the ability to manage multiple concurrent deliverables and work effectively in a fast-paced, cross-functional team environment.

Language: SQL (mandatory), PowerShell, Python (bonus)

Orchestration: SSIS, ADF

Transformation: SQL, SSIS

Storage: SQL Server, ADLS2

Qualification

Bachelor's degree in Information Technology, Computer Science, Data Analytics, Engineering or a related STEM field.

Additional Notes

Maintains awareness of current developments in data and AI technologies, and able to evaluate their potential application within the organisation.