Job
- Level
- Erfahren
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 52.197 € Brutto/Jahr
- Ort
- Bergheim
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst, testest und wartest du Datenpipelines und -modelle, orchestrierst DataOps, sicherst Datenqualität, unterstützt MLOps und dokumentierst Prozesse mit Python/SQL.
Job Technologien
Deine Rolle im Team
To strengthen our Data Science team in Bergheim (Salzburg), we are looking for a Data Engineer that will be responsible for developing, testing, and maintaining data processing and transformation routines and related data models as the foundation for data-driven business models.
The role’s focus is to work closely with Data-Science team members and subject matter experts from other parts of the PALFINGER organization to understand data requirements and to ensure high quality and timely delivery of data products.
- Design, implement and maintain data ingestion, transformation and provisioning.
- Design data models and data architecture for effective data processing and storage.
- DataOps: orchestrate and monitor data load processes, ensure data quality.
- Support Machine Learning Operations (MLOps) with high-quality data products.
- Create and maintain documentation.
Unsere Erwartungen an dich
Ausbildung
- Must have: Profound completed education in a technical field (engineering, computer science, business informatics or comparable).
Qualifikationen
- This role requires a communicative, self-reliant, and hands-on person whose expertise lies within data engineering and who has a passion for finding new technical solutions within a fast-evolving environment.
Erfahrung
- Good knowledge of and experience with design and implementation of data processing pipelines to extract, transform, and load data from a variety of data sources and formats.
- Good knowledge of and experience with design and implementation of data models and data architectures.
- Good knowledge of and experience with programming languages, libraries and toolsets for Data Engineering (e.g. Python, Pandas, SQL, Spark, Azure Data Factory).
- Knowledge of and experience with specific data solutions like Databricks or MS Fabric, cloud solutions (e.g. MS Azure, Google Cloud Platform, Amazon Web Services) and software development tools and concepts (e.g. Git, CI/CD).
Benefits
Mehr Netto
Gesundheit, Fitness & Fun
Work-Life-Integration
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Palfinger
Bergheim
Das internationale Technologie- und Maschinenbaufirma PALFINGER ist der weltweit führende Anbieter von innovativen Kran- und Hebelösungen. Auf Basis seiner vier strategischen Säulen – Innovation, Internationalisierung, Flexibilisierung und PALFINGER 21st gestaltet das Unternehmen gemeinsam mit Kunden, Partnern und Mitarbeitern die Zukunft der Branche.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer
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