Data Engineer (Fixed-Term)
Job Location:
Cabuyao - Philippines
Monthly Salary:
Posted on:
Vacancies:
Job Summary
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
- 48 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
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 Womens groups. Nexperia is committed to increasing women in management positions to 30% by 2030.
Required Experience:
IC
About Company
Headquartered in the Netherlands, Nexperia is a global semiconductor company with a rich European history and over 15,000 employees across Europe, Asia, and the United States.
