Data Engineer (f/m/div)*

#WeAreIn for jobs that impact everyone’s life. From data to deployment, join us in building intelligent systems. As a Data Engineer on the Data Science team, get ready to program the intelligence behind the chips, transform complex data into actionable insights, and create cutting-edge solutions that redefine industries and solve tomorrow’s challenges. Are you in?

Your Role

Key responsibilities in your new role

• End-to-End Data Product Ownership: Design, build, and operate scalable, reliable data pipelines that serve as the foundational backbone for enterprise analytics and machine learning solutions.
• Cross-Functional Collaboration: Lead centralized data initiatives by partnering with Data Scientists, Analysts, and domain experts to deliver high-quality, business-aligned data products.
• Operational Excellence & Reliability: Ensure data stability and integrity through rigorous monitoring, automated validation, and continuous improvement of data flows and ML operationalization.
• Technical Leadership & Best Practices: Champion DataOps, clean code, and robust testing standards while acting as a role model for engineering excellence within the team.
• Strategic Innovation & Modernization: Proactively identify opportunities to simplify pipelines, automate workflows, and evaluate emerging cloud technologies to drive platform evolution.
• Scalable Architecture & Future-Readiness: Enable new data sources and analytical use cases by designing extensible architectures that support future forecasting and planning needs.

Your Profile

Qualifications and skills to help you succeed
You show strong communication and collaboration skills to effectively engage with both technical and non-technical stakeholders. Additionally, you demonstrate a passion for emerging technologies and an entrepreneurial mindset to proactively explore, pilot, and scale innovative data solutions.

• Education & Core Experience: A degree in IT, Computer Science, or Engineering, coupled with at least 3 years of experience designing, implementing, and supporting data engineering or MLOps solutions.
• Data Architecture & Governance: Solid grasp of data architectures (Warehouses, Lakes), pipeline design, data quality assurance, and security protocols.
• Technical Proficiency: Strong command of Python, SQL, and distributed storage systems (e.g., HDFS, Oracle, MySQL), along with expertise in API-based integration and query languages like Spark.
• Modern Toolsets & Orchestration: Hands-on experience with big data technologies (Hadoop, Kafka, Hive), containerization (Docker, Kubernetes), and workflow orchestration tools (Airflow, Mage AI).
• DevOps & Enterprise Platforms: Practical knowledge of DataOps/DevOps practices (Git, CI/CD, Jenkins) and familiarity with enterprise data platforms (e.g., Denodo, Dataiku) is highly valued.
• Analytical Problem Solving: Demonstrated ability to apply strong analytical skills to solve complex challenges within a cross-functional, enterprise environment.

Contact:
Katrin Weiß, 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.