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Master Data Engineer

TE Connectivity te.com Open
Tanger Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at TE Connectivity. Tanger.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationTanger
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and check SAP/S4HANA records for materials, bills of materials, routings, work centers and purchasing information
  • Update manufacturing data for product launches, transfers and engineering changes, coordinating requirements across relevant teams
  • Find and fix data problems that disrupt production, planning, logistics, costing or procurement
  • Review data quality, run audits and apply governance procedures, including corrective actions for discrepancies
  • Handle bulk data changes and migration, support system testing, and track data quality and process KPIs

What you bring

  • You have at least two years in an international industrial company and a BAC+5 qualification
  • You have hands-on SAP S/4HANA experience with material records, bills of materials and routings
  • You bring manufacturing process knowledge, data governance and quality skills, and advanced Excel ability
  • Fluent English and strong analysis, attention to detail and cross-team collaboration are required

Who this fits

This mid-level role suits someone who can work across engineering, manufacturing, supply chain, planning, quality and procurement teams. It includes supporting more senior engineers and helping users follow master data standards.

From the employer


At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

Assists more senior engineers in implementing manufacturing techniques, processes, tools and machinery in order to optimize quality and output levels.

Your main tasks

  • Create, maintain, and validate master data in SAP/S4HANA, including Material Masters, Bills of Materials (BOMs), Routings, Work Centers, Production Versions, and Purchasing Information Records.
  • Ensure the accuracy, consistency, and integrity of manufacturing master data across all systems.
  • Support New Product Introduction (NPI), product transfers, and engineering change management by creating and updating required master data.
  • Coordinate with Engineering, Manufacturing, Supply Chain, Planning, Quality, and Procurement teams to gather and validate data requirements.
  • Analyze and resolve master data issues impacting production, planning, logistics, costing, and procurement processes.
  • Establish and maintain data governance standards, procedures, and best practices.
  • Conduct regular audits and data quality reviews to identify discrepancies and implement corrective actions.
  • Manage mass data uploads, updates, and migration activities during system implementations and business projects.
  • Support SAP/S4HANA enhancements, testing, and deployment activities related to master data processes.
  • Develop and monitor KPIs related to master data quality, accuracy, completeness, and process efficiency.
  • Provide training and guidance to users on master data standards and procedures.
  • Collaborate with IT teams on automation and digitalization initiatives to improve data management efficiency.
  • Ensure compliance with internal controls, regulatory requirements, and company standards.
  • Support inventory optimization, production planning accuracy, and manufacturing execution through reliable master data management.

Drive continuous improvement initiatives to simplify processes, reduce data errors, and enhance operational performance

Your ideal Background

BAC+5

Experience in an international industrial company min. 2 years

  • SAP S/4HANA
  • Material Master, BOM & Routing Management
  • Manufacturing Process Knowledge
  • Data Governance & Data Quality
  • Advanced Excel Skills
  • Analytical & Problem-Solving Skills
  • Attention to Detail
  • Cross-Functional Collaboration
  • Continuous Improvement Mindset
  • Fluent English

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!

• Competitive Salary Package
• Performance-Based Bonus Plans
• Health and Wellness Incentives
• Employee Stock Purchase Program
• Community Outreach Programs / Charity Events
• Employee Resource Group

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.