Job
In this role, you design scalable data pipelines, transform complex data, and collaborate with Data Scientists to deliver high-quality data products and develop innovative data solutions.
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Job technologies
Your role in the team
- 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.
- Design, build, and operate scalable, reliable data pipelines that serve as the foundational backbone for enterprise analytics and machine learning solutions.
- Leiten Sie zentrale Dateninitiativen, indem Sie mit Data Scientists, Analysten und Fachexperten zusammenarbeiten, um hochwertige, geschäftsorientierte Datenprodukte zu liefern.
- Ensure data stability and integrity through rigorous monitoring, automated validation, and continuous improvement of data flows and ML operationalization.
- Champion DataOps, clean code, and robust testing standards while acting as a role model for engineering excellence within the team.
- Proactively identify opportunities to simplify pipelines, automate workflows, and evaluate emerging cloud technologies to drive platform evolution.
- Enable new data sources and analytical use cases by designing extensible architectures that support future forecasting and planning needs.
Our expectations of you
Education
- 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.
Qualifications
- You demonstrate strong communication and collaboration skills to effectively engage with both technical and non-technical stakeholders.
- You demonstrate a passion for emerging technologies and an entrepreneurial mindset to proactively explore, pilot, and scale innovative data solutions.
- Solid grasp of data architectures (Warehouses, Lakes), pipeline design, data quality assurance, and security protocols.
- 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.
- Practical knowledge of DataOps/DevOps practices (Git, CI/CD, Jenkins) and familiarity with enterprise data platforms (e.g., Denodo, Dataiku) is highly valued.
- Demonstrated ability to apply strong analytical skills to solve complex challenges within a cross-functional, enterprise environment.
Experience
- Hands-on experience with big data technologies (Hadoop, Kafka, Hive), containerization (Docker, Kubernetes), and workflow orchestration tools (Airflow, Mage AI).
What we offer
- Permanent, Full-time
Benefits
Health, fitness & fun
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Our creativity and dedication increase the value for our customers, employees, and investors. We understand how semiconductors improve the performance of modern technology and enable solutions that shape our current and future lives. Every single product we develop and manufacture is done with passion and precision, evidence of our determination to succeed. This makes us a trustworthy partner and helps our customers become even more successful.
- English
- Established Company
- Onsite, Hybrid
- Industry, Production · Electronics, Automatization
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