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Data engineer - data governance

Freiburg
Robert Walters
Inserat online seit: 1 Mai
Beschreibung

Join to apply for the Data Engineer - Data Governance role at Robert Walters

Business Director at Robert Walters | Technology & Transformation
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.

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Manufacturing

Industries

Manufacturing

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