Data Engineering Manager

At HAVI, since 1974, we haven't just been in the business of supply chain; we’ve been in the business of reimagining connections between people and the products they love to create a better future.

Joining the TechHUB is an opportunity to be part of the transformation journey towards reimagining the future of Supply Chain Technology!

At HAVI TechHUB, You Get…

THE WORK

…the chance to embark on a groundbreaking startup journey set to transform global supply chain results. Here, you’ll have the opportunity to make your mark by innovating, creating and driving revolutionary projects that reshape the tech and supply chain world. As you steer the change needed for the company’s growth, your work will be purposeful, driving value and bringing smiles to everyday life.

THE PEOPLE

…to work with a diverse mix of talent – an exceptional team of experts, trailblazers and problem solvers from around the globe. Together, you’ll seamlessly work across borders to achieve what you seem impossible.

THE ENVIRONMENT

…to thrive in a supportive yet challenging environment where innovation to redefine what’s possible is our commitment. Experience a culture that encourages autonomy, flexibility and empowerment, and embrace a collaborative mindset that prioritizes teamwork and experimentation – essential for shaping the future of Supply Chain Technology!

ABOUT THE ROLE

We are looking for a Data Engneering Manager to join our TechHUB in Kuala Lumpur!

Lead a team of Data Engineers and ML Engineers within the Kuala Lumpur Technology Hub to deliver high-quality, reliable data products and machine learning solutions on Azure Databricks. 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. Act as a hands-on technical leader (player/coach) while managing team capacity and performance, partnering with Product, Architecture, Data Governance, and MLOps/Platform teams to deliver business value through trusted data and production ML.

THE SKILLS

To set you up for success in this role, here are some key skills that will help you:

• 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.
• Strong hands-on expertise in building and operating data products: batch/streaming pipelines, incremental processing, curated data layers (lakehouse/medallion patterns), data modeling, and data quality controls.
• Solid Python, SQL, and Spark engineering skills (performance tuning, partitioning strategies, cost/performance trade-offs in Databricks jobs and clusters).
• Experience with data integration and orchestration patterns (e.g., Azure Data Factory, Databricks Jobs/Workflows), including robust error handling, retries, idempotency, and operational runbooks.
• Experience applying DataOps/DevOps practices to data and ML engineering: Git-based workflows, CI/CD, automated testing, observability/monitoring, and release discipline.
• Working knowledge of security and governance expectations in enterprise data platforms (e.g., access controls/RBAC, secrets management, auditability, and governed data access such as Unity Catalog), partnering with Platform/Security teams for implementation.
• Experience leading delivery of ML engineering outcomes (e.g., feature pipelines, training/serving integration) in partnership with Data Science and MLOps (model lifecycle, deployment and monitoring).
• Proven ability to coach and develop engineers, run high-performing teams, and manage delivery commitments across multiple stakeholders.

THE BENEFITS

What’s in for you?

· 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.

In return, HAVI TechHUB asks…

BE ADAPTABLE

…and swifty adjust to new challenges, diverse mindsets and disruptive approaches as you navigate the ever-evolving supply chain technology landscape.

BE A SOLUTION SEEKER

…and embrace challenges creatively, think critically and drive positive change in supply chain technology.

BE DRIVEN

…and demonstrate initiative and accountability in pursuing innovative solutions and strategies to shape the future of supply chain technology.

Apply Now! Step into the future with us at HAVI TechHUB in Kuala Lumpur and make your mark!

Equal Opportunity Employer: HAVI TechHUB is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, disability, age, parenthood, pregnancy or any other basis protected by applicable law, and will not be discriminated against.