#WeAreIn for jobs that impact everyone’s life Behind every success, there is a plan: your strategic thinking, creative skills, and ability to communicate with others will drive innovation and turn ideas into impact. As a Senior Data Engineer Sales and Marketing Forecast on our Corporate team, you’ll play a vital part in building the frameworks, relationships, and processes that keep Infineon’s Business thriving. Are you in?
Your Role
Key responsibilities in your new role
The Global Sales and Marketing forecasting team is building a dedicated ML solution to transform forecasting into a strategic, data-driven product that boosts Infineon’s enterprise planning capabilities by improving accuracy, transparency, and trust. You will work at the intersection of advanced machine learning and real business decisions, collaborating with planners, domain experts, and IT to operationalize forecasting solutions, evolve models, and ensure adoption through explainability and clear governance.
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Design, build, deploy, and operate reliable data pipelines that serve as the foundation for analytics and machine learning driven solutions for Sales and Marketing Forecasting.
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Drive centralized data initiatives in close collaboration with Data Scientists, Data Analysts, domain experts, and IT to deliver high-quality data products
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Take ownership of end-to-end data products and ensure data quality, stability, and reliability through monitoring, validation, automation, and continuous improvement.
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Support the operationalization of analytical and ML solutions by enabling reproducible executions, well‑defined interfaces, and dependable data flows.
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Stay up to date with industry trends in data engineering, cloud platforms, and data infrastructure, and proactively evaluate their applicability in an enterprise context
Your Profile
Qualifications and skills to help you succeed
We're looking for a collaborative problem-solver who thrives in cross-functional environments and has a passion for driving innovation through data. Strong communication skills and an entrepreneurial mindset will be key to your success in this role.
- Degree in Information Technology, Computer Science, Engineering, or a related field
- First work experience in data engineering / MLOps and DevOps/DataOps, including design and implementation of data-driven solutions using tools like Git, CI/CD, Jenkins, Denodo, Dataiku, Airflow, and Mage AI
- Solid understanding of concepts in the following areas: Data Architectures, Data Pipelines, Data Warehouses, Data Lakes, Data Quality, Data Security
- Proficiency in Python, relational and distributed data storage (e.g., Oracle, MySQL, HDFS), API‑based data integration, and suitable query languages (e.g., SQL, Spark)
- Experience with enterprise data access, virtualization, orchestration, or analytics platforms (e.g. Denodo, Dataiku, or similar tools) is a plus
- Experience in the latest toolsets and trends on data ingestion, storage, ETL, integration and modeling (e.g., Hadoop, Spark, Impala, Hive, Kafka, Openshift)
- Fluency in English
Please send us your CV in English.
Contact:
Diogo Venâncio, LinkedIn
#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in?
We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.
