Level: Experienced

Job Field: BI, Data

Employment Type: Full Time

Contract Type: Permanent employment

Location: Gemeinde Maria Enzersdorf

Working Model: Onsite

Job Summary

In this role, you will develop efficient data pipelines and conduct data analyses to identify trends, working closely with IT teams and utilizing modern technologies such as Python and Power BI.

Job Technologies

Your role in the team

Data Integration & Preparation: Structured consolidation and processing of data from various sources, as well as the development and maintenance of efficient data pipelines and the management of ETL/ELT processes.
Analytics, Reporting & Visualization: Conducting data analyses to identify patterns, trends, and anomalies; visualizing relevant KPIs in reports for various stakeholders; as well as developing, training, and validating predictive models.
Collaboration and Development: Close cooperation with IT, Data Engineers, Data Architects, and business units; participation in the further development and implementation of data governance structures as well as support in defining and maintaining data quality standards.

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Our expectations of you

Education

Completed education (HTL, FH, university) in the field of Mechanical Engineering, Energy Technology, Physics, Computer Science, Data Science, or similar.

Qualifications

Excellent knowledge in the fields of Data Engineering, Data Science, and Machine Learning.
Advantageous: Knowledge of Azure Data Services, SQL, CI/CD, data modeling, containerization (Docker, Kubernetes), API, integration, and data governance.
Strong analytical skills, structured work approach, and a high degree of independence.
Passion for data, innovation, modern technologies, and communication (German/English).

Experience

Solid experience in Python as well as with Power BI, Power Automate, and ideally Power Apps.
Experience in the field of energy technology, particularly in operations management and maintenance of renewable assets (wind, water, PV).

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