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Job Overview
A (Senior) Data Engineer role has become available at an international manufacturing firm, a leader in their field.
Key Responsibilities
Hands-on Data Engineering and Architecture
Develop and implement robust data architecture frameworks, collaborating with the Global Data Architect.
Create, maintain, and enhance data models to support business operations.
Conduct data profiling and lifecycle checks for phased-out items to ensure data integrity.
Technical Data Management and Quality Control
Lead data cleansing and migration efforts, maintaining data accuracy.
Write and optimize SQL and Python scripts for data checks and automation.
Set up controls and alerts to ensure data integrity during item renumbering and classification.
Data Governance and Standardization
Support the implementation of data governance frameworks and standards.
Collaborate with stakeholders to ensure high-quality data practices.
Document data classification, lineage, and catalog initiatives.
Industry-Specific Data Solutions
Apply knowledge of master data principles within manufacturing or engineering contexts.
Work with stakeholders to align data solutions with operational needs.
Skills and Qualifications
Proven experience in data engineering, with strong SQL skills (mandatory) and Python (preferred).
Knowledge of data modeling techniques and database systems (SQL and No-SQL).
Experience with data architecture and governance, especially in manufacturing or engineering.
Familiarity with SAP data models is a plus.
Understanding of manufacturing industry data needs.
Strong analytical and problem-solving skills.
Ability to manage multiple projects independently.
Effective communication skills for collaboration across teams.
Fluent in English.
Bachelor’s degree in a related field.
Additional Details
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology
Industry: Staffing and Recruiting
Apply for the (Senior) Data Engineer position if this aligns with your career goals.
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