Job
In this role, you lead a Data & Analytics team, manage data engineering projects, and develop modern data platforms for informed business decisions, while also coordinating AI initiatives.
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Job technologies
Your role in the team
- You lead and develop our Data & Analytics team professionally and disciplinarily, fostering a performance-oriented team culture.
- They plan, manage, and implement data engineering and analytics projects, creating a reliable data foundation for informed business decisions.
- You are responsible for the development and continuous improvement of modern data platforms, data pipelines, as well as the integration of the SAP data landscape and other data sources.
- They ensure high data quality, performance, and data governance, and ensure compliance with data protection, security, and regulatory requirements.
- They advise departments and management, translate business requirements into data-driven solutions, and actively shape the Data & Analytics strategy.
- They promote the use of self-service analytics and support the business units with standards, methods, and modern data solutions.
- You coordinate company-wide AI activities, further develop the use of Machine Learning and generative AI, and ensure their responsible deployment.
Our expectations of you
Education
- Completed degree in Data Science, Computer Science, Mathematics, Statistics, or a comparable qualification.
Qualifications
- Solid knowledge in Data Engineering, ETL/ELT processes, data modeling, as well as very good Python and SQL skills.
- Expertise in the field of Machine Learning, AI (including generative AI), Cloud technologies, as well as DataOps/MLOps.
- Strong leadership, communication, and teamwork skills, as well as a structured, self-reliant, and solution-oriented work approach.
- Very good German and good English skills, both written and spoken.
Experience
- Several years of professional experience in Data Engineering or Data Science, as well as ideally initial leadership experience or experience in managing projects.
- Experience with SAP data integration (ideally SAP Datasphere and SAP Analytics Cloud) as well as with Microsoft 365, SharePoint, and data governance concepts.
- Interest or experience in coordinating AI initiatives as well as an understanding of AI governance and regulatory requirements.
What we offer
- Varied range of tasks at a forward-looking employer.
- Professional onboarding followed by regular development discussions.
- Interesting training opportunities, including through our e-learning platform MACOversity.
- Exceptional company culture with a focus on the "Human".
- Short decision-making paths.
- Flexible working hours within a flexitime model as well as a home office policy.
- Generous policy for time off in lieu as well as sabbatical options.
Benefits
Work-Life-Integration
Food & drink
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Salzburg
Our MACO headquarters in the city of Salzburg includes our main administration as well as our main production facility. Here we have development, product management, purchasing, quality assurance, accounting and marketing. The key to our high rate of self-production (96 percent) is our in-house special machine fabrication department. Another highlight is our training workshop which is up to date with the latest technology advances.
- Established Company
- Onsite, Hybrid
- Engineering Industry
Employer reviews
- Team culture
- 3.8
- Engineering
- 3.0
- Working conditions
- 3.4
- Career growth
- 3.2
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