About the role:
The Data Engineer is part of the Central Factory Automation Group of Nexperia supporting all Back End sites. The role is responsible for enabling analytics and data-driven decision-making across manufacturing operations. This includes curating data in the data lake, building and maintaining data pipelines, and supporting BI and data science teams with reliable, well-structured data. The Data Engineer integrates data from multiple source systems and ensures proper documentation such as pipeline design specifications, data flow diagrams, and related technical documentation. The role also focuses on developing scalable, reusable, and high-performance data engineering frameworks aligned with industry standards.
What you will do:
Understand factory operations, manufacturing processes, data availability, and identify areas for improvement
Collaborate with engineering, manufacturing, and quality teams to identify data-driven solutions
Define required data sets and work with connectivity engineers and stakeholders to acquire data
Design, build, and maintain optimal data pipeline architecture
Develop and manage large, complex datasets aligned with functional and non-functional business requirements
Identify and implement process improvements, including automation and optimization of data delivery
Perform data preparation and deep data analysis to support understanding of machine and process behavior
Deploy, monitor, and continuously improve data solutions
Work with data and analytics experts to enhance system functionality
Collaborate with Data Architects and Data Modeling teams across Nexperia Back End sites
What you will need:
Graduate Engineer, preferably in Mechanical, Industrial Engineering, Computer Science, or related field
4–8 years of experience in Data Engineering or related field
Strong experience in manufacturing or industrial environment (preferred)
Experience in building and optimizing data pipelines and data lake architectures
Strong analytical skills working with unstructured and complex datasets
Knowledge of big data tools such as Spark, Delta, CDC, NiFi, Kafka, etc.
Strong SQL and NoSQL skills (Oracle, Hive, Spark SQL, etc.)
Programming experience in Python, Scala, Java, or C++
Experience with data visualization tools such as Power BI or Tableau
Strong skills in data wrangling, data mining, and data transformation
Knowledge of message queuing, stream processing, and scalable data systems
Ability to design scalable data structures, pipelines, and frameworks
Strong problem-solving, analytical, and optimization skills
Ability to work with cross-functional and multicultural teams
Self-motivated, structured, and results-driven with strong delivery discipline
Why work for us:
Competitive salary and benefits package
Opportunities for professional development and growth
A commitment to workplace safety and employee well-being
An innovative and dynamic work environment
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Talent acquisition based on Nexperia vacancies is not appreciated. Nexperia job adverts are Nexperia copyright © material and the word Nexperia® is a registered trademark.
D&I Statement
As an equal-opportunity employer, Nexperia values diversity not just because it is the right thing to do but because diverse teams perform better. We are dedicated to being inclusive, and a proof point of this dedication is that we were the main partner of the very first Dutch Paralympic Team NL House during the Paris 2024 Paralympic Games. Our recruitment process is inclusive and accessible to all, and we consider all applicants fairly, as well as providing a safe work environment and reasonable adjustments where requested.
In addition, we offer our colleagues the possibility to join employee resource groups such as the Pride Network Group or global and local Women's groups. Nexperia is committed to increasing women in management positions to 30% by 2030.
