Data Engineer (all genders)

Mettler-Toledo, Inc.; Warszawa; On-site; PLN 167,400 - 223,200; Full time

Benefits offered by this job

Annual reward

Flexible working hours

Medical care with a dental package

Life insurance

Language courses

Sports card (Medicover)

Wellbeing activities

Job summary

Mettler-Toledo, Inc. is seeking a Data Engineer (all genders) in Warsaw, Poland. This role focuses on designing and maintaining the central data platform, supporting analytics, and AI/ML initiatives. The ideal candidate will have over 3 years of experience in data engineering, strong skills in data processing frameworks and relevant technologies.

The position offers flexible working hours, a hybrid work model, and numerous benefits including medical care and a diverse and inclusive work environment.

Qualifications

• 3+ years of hands-on experience in data engineering or a similar role.
• Very good knowledge of English (written and spoken).
• Solid understanding of data modeling, ETL/ELT, and data warehousing principles.

Responsibilities

• Design, build and maintain METTLER TOLEDO’s central data platform.
• Develop scalable data pipelines and ensure high-quality data flows.
• Collaborate closely with cross-functional teams to understand data requirements.

Skills

Data processing frameworks: Apache Spark, Snowflake or Databricks

Data storage technologies: Lakehouse/Delta Lake, data lakes

Programming languages: Python, SQL

Analytical and problem solving skills

Collaboration in a cross-functional environment

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems or equivalent

Tools

Orchestration tools (e.g., Airflow, Prefect)

Cloud platforms (preferably Azure)

Metadata management tools

Job description

Our Opening and Your Responsibilities

The Data Engineer (all genders) 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.

Principal Duties and Responsibilities

• 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

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
• Very good knowledge of English (written and spoken)
• Strong experience with:
  • Data processing frameworks: Apache Spark, Snowflake or 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

Our Offer to You

• Contract of employment [umowa o pracę], we are looking for a long term cooperation
• Annual reward
• Flexible working hours
• Hybrid work model
• A diverse and inclusive workplace
• Festive benefits paid in April and December
• Medical care with basic dental package (Medicover), with possibility to extend to Damian Medical Center
• Possibility to extend medical care to family members
• Life insurance with possible extended scope
• Sports card (Medicover)
• Language courses
• A vast training offer to support your development
• Wellbeing activities, CSR, with space for your initiatives
• Discounts for meals and special offers at Platan Business Park

Equal Opportunity Employment

We are an equal opportunity employer and value diversity at our company. We give consideration for employment without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity, genetic information, or any other protected classification. You can find more details in our Equal Employment Opportunity Policy.