Data Platform Engineer for AI & Analytics

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 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.