Job
In this role, you lead the Data & Analytics team, plan and execute data engineering and analytics projects, and are responsible for building modern data platforms and pipelines to support data-driven decision-making.
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Job technologies
Your role in the team
- You lead and develop our Data & Analytics team both professionally and disciplinarily, and foster a performance-oriented team culture.
- You plan, manage, and deliver data engineering and analytics projects, building a reliable data foundation for informed business decisions.
- You are responsible for building and further developing modern data platforms and data pipelines, as well as integrating the SAP data landscape and other data sources.
- You ensure high data quality, performance, and data governance, and ensure compliance with data protection, security, and regulatory requirements.
- You advise business units and management, translate business requirements into data-driven solutions, and actively shape the Data & Analytics strategy.
- You promote the use of self-service analytics and support business units with standards, methods, and modern data solutions.
- You coordinate company-wide AI initiatives, advance the use of machine learning and generative AI, and ensure they are used responsibly.
Our expectations of you
Education
- Completed degree in Data Science, Computer Science, Mathematics, Statistics, or a comparable qualification.
Qualifications
- In-depth knowledge of data engineering, ETL/ELT processes, and data modeling, as well as excellent Python and SQL skills.
- Expertise in machine learning, AI (including generative AI), cloud technologies, and DataOps/MLOps.
- Strong leadership, communication, and teamwork skills, as well as a structured, self-reliant, and solution-oriented approach to work.
- Very good German and good English skills, both written and spoken.
Experience
- Several years of professional experience in data engineering or data science, ideally with initial leadership experience or experience managing projects.
- Experience with SAP data integration (ideally SAP Datasphere and SAP Analytics Cloud), as well as Microsoft 365, SharePoint, and data governance concepts.
- Interest in or experience coordinating AI initiatives, as well as an understanding of AI governance and regulatory requirements.
What we offer
- A varied range of responsibilities at a forward-thinking employer.
- Professional onboarding followed by regular development discussions.
- Interesting professional development opportunities, including through our e-learning platform MACOversity.
- Exceptional company culture with a focus on people.
- Short decision-making processes.
- Fresh cuisine at the MACO restaurant, company parking, health and wellness initiatives, regular employee events, etc.
- Flexible working hours with a flexitime model and a work-from-home policy.
- Generous time-off-in-lieu arrangements and the option to take a sabbatical.
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
- Hybrid, Onsite
- Engineering Industry
Employer reviews
- Team culture
- 3.8
- Engineering
- 3.0
- Working conditions
- 3.4
- Career growth
- 3.2
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