Data Engineer - Data Governance

A (Senior) Data Engineer role has become available at an international manufacturing firm 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 to drive the future of data infrastructure.
• Engage in hands-on creation, maintenance, and enhancement of conceptual and logical data models to support business operations.
• Conduct data profiling and lifecycle checks for phased-out items, ensuring optimal data integrity and system performance.

Technical Data Management and Quality Control

• Lead data cleansing and migration efforts, executing uploads and corrections to maintain data accuracy and reliability.
• Write and optimize SQL and Python scripts to automate data checks, cleanups, and ensure data quality.
• Set up and enforce controls and alerts to maintain data integrity during item renumbering and classification processes.

Data Governance and Standardization

• Support the definition and implementation of data governance frameworks and standards across the organization.
• Collaborate with Data Domain Architects, Business Representatives, and Data Stewards to ensure consistent and high-quality data practices.
• Document and maintain data classification, data lineage, and data catalog initiatives to support governance activities.

Industry-Specific Data Solutions

• Apply knowledge of master data principles and classification frameworks within manufacturing or engineering contexts.
• Work closely with industry stakeholders to ensure data solutions meet operational needs and enhance business processes.

Skills:

• Proven experience in data engineering with a strong focus on SQL (mandatory) and Python (preferred) for data manipulation and automation.
• Extensive knowledge of data modeling techniques (conceptual, logical, physical) and experience with database systems (SQL and No-SQL).
• Experience with data architecture and governance principles, particularly in a manufacturing or engineering environment.
• Familiarity with SAP data models is a plus
• Understanding of the manufacturing industry's data needs and the ability to tailor data solutions to meet these requirements.
• Strong analytical skills with a methodical approach to problem-solving and data quality enforcement.
• Ability to work independently and manage multiple technical projects with attention to detail.
• Effective communication skills for collaboration with IT teams, data stewards, and business stakeholders.
• Experience in stakeholder management and the ability to convey complex technical concepts to non-technical audiences.
• Fluent English.
• Bachelor’s degree in Information Technology, Business Informatics, Data Management, or a related field.

Apply for the (Senior) Data Engineer position if you believe this is your next challenge.