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Lead / Senior Data Engineer

Malaysia, Kuala Lumpur 10000.00 - 15000.00 RM / Month · Job Posted June 16, 2026
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Job Description

We are seeking a Lead / Senior Data Engineer to design, build, and optimize our core data infrastructure. In this role, you will bridge the gap between raw data and production-ready environments, ensuring our analytics systems are scalable, reliable, and high-performing. You will collaborate closely with Data Scientists to support advanced modeling and lead data engineering initiatives.

Job Responsibility

  • Build and orchestrate automated ETL/ELT pipelines for batch and real-time streaming data
  • Design and maintain scalable data lake and data warehouse structures
  • Partner with Data Scientists to optimize data pipelines, feature stores, and datasets required for statistical modeling
  • Tune and optimize complex SQL queries and data workflows for large-scale datasets
  • Establish technical best practices, ensure data quality, and mentor junior engineers

Requirements

  • Minimum 4+ years in Data Engineering, Big Data, or Data Architecture
  • Degree in Computer Science, Software Engineering, or a related quantitative field
  • Mastery of Python (including advanced Pandas and NumPy for data manipulation) and expert-level SQL
  • Strong familiarity with preparing data for statistical modeling and predictive frameworks (e.g., XGBoost, Regression, Decision Trees)
  • Experience with modern data stack tools (e.g., Spark, Airflow, dbt) and cloud data platforms (AWS, GCP, or Azure)

What we offer

  • Flexible Hybrid Arrangement: Balance of remote work autonomy and in-office collaboration
  • Professional Growth: Lead high-impact architectural decisions alongside a talented AI and analytics team
  • Competitive Compensation: Monthly salary up to RM 15,000, commensurate with experience and technical assessment

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