Senior Specialist System Engineering - Maia

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Infineon Technologies

Maia, Portugal

Other

Yes

dba31c8ede23

30. 06. 2025

14. 08. 2025

Job Description

In your new role you will:

Create, maintain, and optimize data extraction, transformation, and loading (ETL) workflows using KNIME Analytics Platform
Develop advanced analytics workflows for data blending, feature engineering, statistical analysis, and machine learning preparation
Implement data quality checks and ensure data integrity within KNIME solutions
Build interactive data applications and dashboards using KNIME Server capabilities

Design and implement logical data models and virtualized views in Denodo Platform
Connect to diverse data sources (relational databases, APIs, cloud storage, etc. ) and integrate them seamlessly
Optimize SQL/VQL queries and views for performance and scalability
Develop and manage Denodo security policies and user access controls

Work closely with data analysts, business users, and other developers to understand requirements and deliver effective data solutions
Participate in the full software development lifecycle, from requirements gathering to deployment and support
Stay updated with the latest features and best practices in KNIME, Denodo, and broader data engineering
Contribute to data governance and documentation efforts

You are best equipped for this task if you have:

A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
Minimum 3 years related experience, experience in semiconductor or electronic manufacturing industry is preferred
Experience in planning, designing, and implementing complex systems
Proficiency in Agile development methods
Good knowledge in SQL and database systems (Oracle, MSSQL, Mongo
DB)
Strong programming skills in Python and Java
Script, with experience in developing robust applications or scripts
Experience with containerization platforms like Open
Shift or Kubernetes is highly desirable, indicating an understanding of modern deployment practices
Existing Knowledge in at least one of the following tools are preferred: KNIME (Konstanz Information Miner), DENODO (Data Virtualization)
Very good command of written and oral English

Coaching, mentoring, networking possibilities
Wide range of training offers & planning of career development
International assignments
Different career paths: Project Management, Technical Ladder, Management & Individual Contributor
Flexible working conditions
Hybrid work model
Discount at
- site gym
Sabbatical
Birthday off
Medical coverage
Free parking available
Health promotion programs
Private insurance offers
Access for wheelchairs
Possibility to work remotely from abroad (EU)
On-site canteen available
Service anniversary bonus
Wage payment in case of sick leave
Annual performance bonus