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Tools in this posting

Python
Databricks
Snowflake
Spark
Airflow
SQL
Azure
Delta
Prefect

Source

- Data storage technologies: Lakehouse/Delta Lake, data lakes - Programming languages: Python, SQL - Solid understanding of data modeling, ETL/ELT, and data warehousing principles.

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.

- Strong experience with: - Data processing frameworks: Apache Spark, Snowflake, Databricks - Data storage technologies: Lakehouse/Delta Lake, data lakes

- 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 orchestration tools (e.g., Airflow, Prefect). - Familiarity with cloud platforms (preferably Azure). - Experience with metadata management tools.

- Data processing frameworks: Apache Spark, Snowflake, Databricks - Data storage technologies: Lakehouse/Delta Lake, data lakes - Programming languages: Python, SQL

About Mettler Toledo

METTLER TOLEDO is a global leader in precision instruments and services.

In the employer’s words · Read in context

Job description

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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

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.

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.