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Data Engineering Team Lead

Kuala Lumpur Permanent Work from Home or Hybrid View Job Description
Own end-to-end engineering delivery for data pipelines, curated datasets, and ML engineering outcomes (feature/serving pipelines and model integration), ensuring strong engineering practices (version control, testing, CI/CD), data quality, observability, and operational readiness
  • Opportunity to be part of the transformational journey
  • Embark on a groundbreaking startup journey set to transform global supply chain

About Our Client

Our client haven't just been in the business of supply chain; they have been in the business of re-imagining connections between people and the products they love to create a better future

Job Description

  • Lead and grow the Data Engineering & ML Engineering team (hiring, onboarding, performance management, coaching, career development).
  • Act as a hands-on technical lead (player/coach): drive technical direction, review designs and code, unblock complex engineering problems, and set reusable patterns and standards
  • Own end-to-end engineering delivery for data pipelines and curated datasets (data products) on Azure Databricks, ensuring quality, reliability, security and operational readiness.
  • Lead ML engineering delivery in partnership with Data Science and MLOps (feature engineering pipelines, training/inference integration, model packaging and deployment readiness, monitoring inputs/outputs).
  • Enforce engineering standards: CI/CD, automated testing, code reviews, documentation, data contracts, and data quality validation/reconciliation

The Successful Applicant

A successful Data Engineering Team Lead should have:

  • Core tech stack (hands-on): Azure (ADLS, ADF), Azure Databricks (Spark/Delta/Lakehouse patterns), Python, SQL, Git, CI/CD (Azure DevOps or GitHub), orchestration (ADF and/or Databricks Workflows/Jobs), and observability/monitoring for data pipelines. Preferred: dbt and modern data quality tooling (validation, reconciliation, data contracts
  • 8+ years in data and/or software engineering roles, including hands-on delivery on Azure Databricks, with 3+ years of people management
  • Solid Python, SQL, and Spark engineering skills (performance tuning, partitioning strategies, cost/performance trade-offs in Databricks jobs and clusters).

What's on Offer

  • The People! The Work! The Environment
  • Competitive Salary: we offer a salary that reflects your experience, and expertise
  • Work-Life Balance: Hybrid Working - 3 days in office, 2 days from home
  • Professional Growth: access to ongoing training
  • Inclusive Environment: we prioritize diversity and inclusion, ensuring everyone feels welcome and valued.



If you are passionate about data engineering and leadership and are looking for a permanent role, we encourage you to apply now!

Contact
Arshanaa Lechumi
Quote job ref
JN-052026-7017012
Phone number
+60323024087

Job summary

Function
IT
Specialisation
IT Data Analysis
What is your area of specialisation?
Technology & Telecoms
Location
Kuala Lumpur
Contract Type
Permanent
Consultant name
Arshanaa Lechumi
Consultant contact
+60323024087
Job Reference
JN-052026-7017012
Work from Home
Work from Home or Hybrid

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.