Data Engineer

Mettler-Toledo International, Inc; Petaling Jaya; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Medical Coverage (Spouse and children)

Dental Coverage (Spouse and children)

Life Insurance Plan

Job summary

Mettler-Toledo International, Inc. is seeking a Data Engineer to design, build and maintain a central data platform that supports analytics, AI/ML initiatives and data distribution.

You will work with data scientists, analysts and business stakeholders to deliver trusted, well-structured data for operational and analytical use cases. You will contribute to building the enterprise data lake/lakehouse using Databricks and Snowflake, develop batch and streaming pipelines, and ensure data quality,

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent.
• 3+ years of hands-on data engineering experience.
• Proficiency with Spark, Snowflake, Databricks.
• Experience with Python and SQL.
• Experience with Airflow or Prefect.
• Familiarity with Azure cloud.
• Strong analytical and problem solving skills.
• Ability to work collaboratively in a cross-functional environment.

Responsibilities

• Design, build and maintain METTLER TOLEDO’s central data platform for analytics and AI/ML initiatives.
• Develop scalable data pipelines for batch and streaming data between systems and cloud services.
• Implement ETL/ELT and reverse ETL processes to support analytics and AI workloads.
• Create metadata catalogs, data lineage and feature stores.
• Ensure data quality, security and compliance across pipelines.
• Collaborate with data scientists, analysts and stakeholders to meet data needs.

Skills

Data engineering

Python

SQL

Spark/Databricks

Snowflake

ETL/ELT

Azure cloud

Education

Bachelor's degree in CS/Engineering/IS

Tools

Airflow

Databricks

Snowflake

Delta Lake

Azure

Job description

About Mettler Toledo

METTLER TOLEDO is a global leader in precision instruments and services. We are renowned for innovation and quality across laboratory, process analytics, industrial, product inspection, and retailing applications. Our sales and service network is one of the most extensive in the industry. Our products are sold in more than 140 countries, and we have a direct presence in approximately 40 countries. For more information, please visit www.mt.com.

Our Opening and Your Responsibilities

The Data Engineer will design, build and maintain METTLER TOLEDO’s central data platform supporting analytics, data distribution and AI/ML initiatives. This role involves developing scalable data pipelines, ensuring high-quality and secure data flows, and contributing to the foundation that powers advanced analytics and business insights across the organization.

The person on this position will work closely with data scientists, analysts, and business stakeholders to design, build, deliver and support trusted, well‑structured and secure high-quality data for operational, analytical and AI/ML use cases.

• Contribute to the development of the enterprise data lake/lakehouse using modern technologies (Databricks, Snowflake).
• Build and maintain data integration pipelines for batch and streaming data between internal systems, external partners and cloud services.
• Implement ETL/ELT and reverse ETL processes to support analytics, reporting and AI/ML workloads.
• Develop, optimize, and maintain scalable data pipelines for structured, semi structured, and unstructured data.
• Monitor, troubleshoot, support and resolve any issues with data pipelines and data availability.
• Automate ingestion, transformation, and distribution workflows using orchestration tools.
• Create and maintain metadata catalogs, data lineage and feature stores.
• Collaborate closely with cross-functional teams and business stakeholders to understand data requirements and deliver efficient technical solutions.
• Evaluate and adopt new tools and technologies to improve platform performance, cost management and engineering practices.
• Follow best-in-class development, testing, and documentation standards, especially also using CI/CD pipelines.
• Apply and maintain data quality rules ensuring accuracy, completeness, and consistency across pipelines.
• Ensure adherence to security, compliance, and data protection standards.

What You Need to Succeed

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent technical field.
• 3+ years of hands‑on experience in data engineering or a similar role.
• Strong experience with:
  • Data processing frameworks: Apache Spark, Snowflake, Databricks
  • Data storage technologies: Lakehouse/Delta Lake, data lakes
  • Programming languages: Python, SQL
• Solid understanding of data modeling, ETL/ELT, and data warehousing principles.
• Experience with orchestration tools (e.g., Airflow, Prefect).
• Familiarity with cloud platforms (preferably Azure).
• Experience with metadata management tools.
• Strong analytical and problem solving skills.
• Ability to work collaboratively in a cross‑functional environment.
• Good communication and documentation skills.
• Commitment to high‑quality work, data security, and continuous improvement.

Our Offer to You

• Medical Coverage (Spouse and children)
• Dental Coverage (Spouse and children)
• Life Insurance Plan

Equal Opportunity Employment

We promote equal opportunity worldwide and value diversity in our teams in terms of business background, area of expertise, gender and ethnicity. For more information on our commitment to Sustainability, Diversity and Equal Opportunity please visit us here.