Data Engineer

Mettler-Toledo International, Inc; Petaling Jaya; On-site; MYR 90,000 - 130,000; Full time

Benefits offered by this job

Medical Coverage

Dental Coverage

Life Insurance Plan

Job summary

METTLER TOLEDO is seeking a Data Engineer to design, build and maintain the central data platform for analytics and AI/ML initiatives. You will develop scalable data pipelines, ensure high-quality, secure data, and support data distribution across the organization.

Work closely with data scientists, analysts and business stakeholders to deliver trusted data for operational, analytical and AI/ML use cases. Experience with Databricks, Snowflake, Airflow or Prefect, and Azure is preferred.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent technical field.
• 3+ years hands-on experience in data engineering or a similar role.
• Strong experience with data processing frameworks: Apache Spark, Snowflake, Databricks.
• Programming languages: Python, SQL.
• Solid understanding of data modeling, ETL/ELT, and data warehousing principles.
• Experience with orchestration tools (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.

Responsibilities

• Design, build and maintain METTLER TOLEDO’s central data platform supporting analytics, data distribution and AI/ML initiatives.
• Develop scalable data pipelines and secure data flows.
• Collaborate with data scientists, analysts, and stakeholders to deliver trusted data.
• Develop and maintain enterprise data lake/lakehouse using Databricks, Snowflake.
• Build and maintain data integration pipelines for batch and streaming data.
• Implement ETL/ELT and reverse ETL processes.
• Develop, optimize, and maintain scalable data pipelines for various data types.
• Monitor, troubleshoot, and resolve issues with data pipelines.
• Automate ingestion, transformation, and distribution workflows using orchestration tools.
• Create metadata catalogs, data lineage and feature stores.
• Collaborate with cross-functional teams to understand data requirements.
• Evaluate and adopt new tools to improve performance and cost efficiency.
• Follow CI/CD development, testing, and documentation standards.
• Apply and maintain data quality rules and ensure data security.

Skills

Python

SQL

Apache Spark

Snowflake

Databricks

Data modeling

ETL/ELT

Airflow

Prefect

Azure

Education

Bachelor's degree in Computer Science or related

Tools

Airflow

Prefect

Azure

Job description

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
• 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.