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Data Steward Engineer
1 month ago
Job Summary
We are seeking a highly skilled Data Steward Engineer to join our team at Covestro. As a Data Steward Engineer, you will be responsible for managing data access and improving data quality, particularly master data in the areas of research & development, product management, and sustainability.
Key Responsibilities
- Manage data access and improve data quality, particularly master data in the areas of research & development, product management, and sustainability.
- Be responsible for data integration, data management solutions, and data quality.
- Analyze business/project requirements and identify relevant data and tools for data provisioning.
- Be hands-on defining standards, designing data models, developing and supporting ingestion pipelines from data sources such as LIMS, Electronic Lab Notebook systems, etc.
- Be part of the team that centrally administers R&D master data.
- Support the development of information security concepts for new applications, especially for access management.
- Identify and sustainably resolve data quality issues.
- Take part in the establishment and leadership of the "R&D Data Community".
- Regular review of data strategy and KPIs.
- Description of data products in the data catalog.
- Closely collaborate with colleagues from R&D, product management, and application development, accompanying and guiding them as they adopt new standards for data quality.
Requirements
- Bachelor's degree with 5-7 years of experience, or Master's degree with 3-5 years of experience in the fields of computer science, chemistry, natural sciences, technology (STEM), or comparable.
- Strong technical knowledge and experience in maintaining data stewardship and data engineering projects.
- Knowledge of programming languages (e.g., Python, Java).
- Practical experience in data warehouse management based on an RDBMS (PostgreSQL, MariaDB, MySQL, Oracle, MS SQL).
- Understanding of the basics of polymer chemistry to grasp and address the specific data-related requirements in this domain.
- Understanding of R&D processes, for example through experience in a development environment or within a testing department.
- Knowledge and experience in data governance principles, policies, and best practices, as well as data quality assessment and data lineage tracking.
- IT affinity and expertise in handling various tools for master data maintenance and management.
- Excellent communication and collaboration skills to work with cross-functional teams and support users.
- Self-motivated with a strong sense of ownership and ability to work independently.
- Strong problem-solving and analytical skills, with the ability to diagnose and resolve technical issues effectively.
- Experience with cloud platforms and services, such as AWS (preferred).