Senior Data Engineer | Lead Data Platform & Cloud Pipelines

Averis

Kuala Lumpur

On-site

MYR 180,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

Medical, dental, and optical benefits
Cross-functional training
Overseas postings
Learning and development programmes
Reward and recognition

Job summary

Averis is seeking a Senior Data Engineer in Kuala Lumpur to lead our data engineering team and drive scalable, governed data foundations and pipelines. You will work with stakeholders to translate business needs into technical designs and ensure data solutions align with organizational goals for data-driven decision making.

The role requires 8+ years in data engineering/analytics, strong leadership, and expertise in the modern data stack, with Databricks as a plus.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
  • 8+ years in data engineering or data analytics roles, with leadership experience.
  • Strong problem-solving and analytical skills for complex business problems.
  • Familiarity with modern data stack and data visualization technologies.
  • Experience with Databricks; ability to integrate with data engineering tasks.

Responsibilities

  • Collaborate with stakeholders to understand requirements and translate them into designs and efficient data pipelines.
  • Provide technical design and architecture guidance for a modern data stack supporting governance, scalability, and reporting.
  • Design and implement scalable data foundations and pipelines across on‑premise and cloud infrastructure.
  • Build data lakes and data warehouses for management reporting and analytics environments.
  • Lead and mentor junior engineers to foster growth and knowledge sharing.

Skills

Data leadership
Data pipelines
Modern data stack
Databricks
Cloud & on‑prem

Education

Bachelor's or Master's in CS/Data Science

Tools

Databricks

Job description

Averis is seeking a Senior Data Engineer in Kuala Lumpur to lead our data engineering team and drive scalable, governed data foundations and pipelines. You will work with stakeholders to translate business needs into technical designs and ensure data solutions align with organizational goals for data-driven decision making.

The role requires 8+ years in data engineering/analytics, strong leadership, and expertise in the modern data stack, with Databricks as a plus.

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