Job Description

Are you passionate about transforming data into actionable insights? Join our team at Infineon Technologies as a Staff Engineer in Data Engineering & Analytics! In this role, you'll be at the forefront of harnessing the power of data to drive innovation and efficiency. Collaborate with experts, design robust data ecosystems, and support digitalization projects. If you have a strong background in data engineering, database concepts, and a flair for turning complex business needs into solutions, we want to hear from you. Elevate your career with us and be part of shaping the future!

In your new role you will:


Identify and understand the different needs and requirements of consumers and data providers (e.g. transaction processing, data ware housing, big data, AI/ML) and translate business digitalization needs to technical system requirements. Team up with our domain-, IT- and process experts to assess the status quo, to capture the full value of our data and to derive target data-ecosystems based on business needs Design, build, deploy and maintain scalable and reliable data assets, pipelines and architectures. Team-up with domain IT- and process experts and especially with you key users to validate the effectiveness and efficiency of the designed data solutions and contribute to their continuous improvement and to their future-proofing. Support data governance (Data Catalogue, Data Lineage, Meta Data, Data Quality, Roles and Responsibilities) and enable analytics use cases with a focus on data harmonization, connection and visualization. Drive and/or contribute to digitalization projects in cross-functional coordination with IT and business counterparts (e.g. data scientists, domain experts, process owners). Act as first point of contact for data solutions in the ATV QM organization to consult and guide stakeholders to leverage the full value from data and to cascade knowledge of industry trends and technology roadmaps for the major market players (guidelines,principles, frameworks, industry standards and best practice, upcoming innovation, new features and technologies)

Your Profile

You are best equipped for this task if you have:


A degree in Information Technology, Business Informatics, Computer Science or related field of studies. At least 5 years of relevant work experience related to

Data Engineering and/or Analytics

with strong data engineering focus Ability to translate complex business needs into concrete actions Excellent expertise of

database concepts

(e.g. DWH, Hadoop/Big Data, OLAP), related query languages (e.g. SQL, Scala, Java, MDX) Expertise in

data virtualization

(e.g. Denodo) Working knowledge on the latest toolsets for data analytics, reporting and data visualization (e.g. Tableau, SAP BO) as well as in

Python,

R and Spark is a plus Ability to work both independently and within a team

#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 applicants experience and skills.


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.