Be part of our team!
- Ensure compliance with finance and controlling guidelines across functions
- Manage daily financial operations and reporting on budget vs. actual performance
- Collaborate with IT and Demand Management to track investments and functional costs
- Monitor personnel, FTEs, and overhead to optimize resource allocation
- Support financial analysis, budgeting, and forecasting for operational efficiency
|
Your core responsibilities are:
- Collect, process, and analyze large volumes of test, field, and sensor data across development and operation
- Develop machine learning models to analyze complex datasets and derive actionable insights on product performance and usage
- Collaborate with product development teams to integrate data collection and analytics tools throughout the product lifecycle
- Apply statistical and AI methods to identify patterns, predict issues, and optimize performance
- Continuously improve analytics approaches using modern data science and AI technologies
|
Be part of our team!
- Design and implement scalable data platforms that support analytics, machine learning, and business intelligence needs
- Develop and maintain data infrastructure including data lakes, data lakehouses, warehouses, and streaming systems for high availability and performance
- Automate data workflows and deployments using CI/CD pipelines and Infrastructure as Code tools (e.g., Terraform, Ansible)
- Ensure data security and compliance by implementing encryption, access controls, and regulatory standards (GDPR, SOC2)
- Monitor and optimize platform performance through observability tools, resource tuning, and cost management
- Collaborate with cross-functional teams (data engineers, analysts, ML teams) to align platform capabilities with business requirements
- Integrate and manage big data technologies such as Apache Iceberg, Spark, Kafka, and cloud-native services for real-time and batch processing
|
|
|
Be part of our team!
- Design and build scalable data pipelines for ingestion, transformation, and storage
- Develop and maintain data infrastructure including databases, data lakes, and warehouses
- Optimize data workflows for performance, reliability, and cost efficiency
- Ensure data quality through validation, cleansing, and monitoring processes
- Implement security measures and compliance standards for data handling
- Collaborate with source developers, data scientists, analysts, and business teams to deliver structured datasets
- Monitor and troubleshoot data systems, resolving issues promptly
- Automate repetitive tasks and improve operational efficiency through scripting and tools
- Create and maintain clear documentation
- Define and enforce coding standards and operational guidelines
- Stay updated on emerging technologies and recommend improvements for scalability and performance
- Document incidents, perform root cause analysis, and implement preventive measures
|
Be part of our team!
- Develop and maintain a comprehensive business glossary within the data catalog
- Collaborate with business stakeholders to define and standardize data terminology, business logic, and rules
- Establish and enforce data standards to ensure consistency across systems and processes
- Align technical metadata with business definitions for improved transparency and usability
- Manage metadata quality and ensure accurate documentation of data assets
- Facilitate communication between IT and business teams to support governance and compliance initiatives
- Provide guidance and training on data catalog usage and best practices
- Maintain and update detailed documentation for business glossary and metadata standards
- Organize workshops to align stakeholders on data definitions and business logic
- Monitor and improve metadata quality and completeness within the catalog
|
Shortfacts
- Einsatzort:
Graz - Ausmaß:
Full-time - Eintrittsdatum:
02.02.2026 - Anstellungsverhältnis:
unlimited
|
Vollzeit | Teilzeit | Praktikum
|
Be part of our team!
- Lead the recruitment cycle with agility and precision, ensuring the right talent finds the right role
- Act as a trusted advisor to hiring managers and HR Business Partners crafting sourcing strategies that fit business needs
- Develop and maintain talent pipelines for critical positions and future growth
- Collaborate with external agencies to secure quality and efficiency throughout the process
- Work with SAP SuccessFactors and other HR tools to keep workflows smooth and data accurate
- Conduct structured interviews to ensure cultural and functional fit
- Represent the company at recruitment events, bringing our culture and values to life
- Use data analytics to track KPIs, optimize processes, and share insights on market trends and employer branding
|
Be part of our team!
- Perform data-driven cost driver analysis across sites and business units
- Simulate financial impacts of strategic and operational decisions
- Provide benchmark-based transparency for gaps and best practices
|
Vollzeit | Teilzeit | Praktikum
|
Ihre Aufgaben:
- Verfassen einer Dissertation
- Forschungstätigkeiten selbständig und in Zusammenarbeit mit Kolleg:innen
- Abhaltung von/Mitarbeit bei Lehrveranstaltungen
- Betreuung von Studierenden
- Einreichen von wissenschaftlichen Artikeln bei internationalen Fachzeitschriften
- Teilnahme an internationalen wissenschaftlichen Konferenzen sowie an Wirtschaftskongressen
- Zusammenarbeit mit einem globalen Netzwerk aus Wissenschafter:innen im Bereich Marketing und BWL
- Mitarbeit bei Organisations- und Verwaltungsaufgaben
|
Be part of our team!
- Develop, optimize, and characterize manufacturing processes in your area of expertise (e.g., lithography, mechanical, plating, backend).
- Specify and qualify new equipment and tooling, including supplier evaluation.
- Ensure process stability through statistical process control (SPC).
- Troubleshoot and resolve process-related issues in daily operations.
- Support new product introduction and technology ramp-up.
|
