Data Engineer (all genders)

Job description

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. *We are focusing on entertainment and supporting your physical and mental health – check out our LinkedIn profile! The recruitment process consists of the following steps: * CV selection – we contact selected candidates * Phone screening with a recruiter (approx. 15 min) * Initial interview with the Manager and Recruiter (video conference, approx. 1,5 hour) * F2F meeting at the office with the Manager (approx. 1 hour) The information obligation arising from Article 18 [3ca] of the Labor Code is fulfilled before establishing the employment. 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 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(opens in new window).

Required skills

databricks snowflake english accuracy engineering quality analytical skills collaborative environment reporting laboratory life insurance cost management sql etl data modeling manager python services innovation data engineer airflow azure industrial office cloud services hands-on experience flexible working hours recruiter data lake diversity disability ai/ml product inspection analytics cloud platforms problem solving skills ci/cd pipelines cross-functional teams computer science data quality csr data integration medical care linkedin transformation data pipelines color data platform structured data technical solutions labor code employment information systems data warehousing data security hybrid work model data analysts technical field video conference meal discounts consistency sports card external partners contract of employment prefect internal systems equal opportunity employer elt orchestration tools data scientists apache spark precision instruments documentation standards data availability phone screening language courses special offers data lineage unstructured data lakehouse feature stores development standards engineering practices medicover business stakeholders sales network family members countries ingestion age completeness diverse workplace streaming data inclusive workplace religion reverse etl genetic information training offer platform performance testing standards sexual orientation sex race semi-structured data wellbeing activities service network cv selection gender identity equal employment opportunity policy data quality rules process analytics batch data data distribution ai/ml workloads national origin initial interview protected classification distribution workflows metadata catalogs metadata management tools annual reward festive benefits dental package damian medical center platan business park f2f meeting mettler toledo retailing applications

Data Engineer (all genders)

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