Job
- Level
- Senior
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 60.962 € Brutto/Jahr
- Ort
- Bergheim
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du skalierbare Datenpipelines und integrierst Daten aus verschiedenen Quellen, optimierst Cloud-Architekturen und implementierst Monitoring-Mechanismen für Datenqualität.
Job Technologien
Deine Rolle im Team
- Design, build, and maintain scalable data pipelines, ingestion processes, and transformation workflows that integrate data from a variety of sources, including cloud platforms, databases, APIs, and business applications.
- Develop and optimize cloud-based data architectures, data models, and data provisioning solutions to support analytics, reporting, and machine learning use cases.
- Ensure data quality and reliability by implementing monitoring, testing, validation, failure recovery mechanisms, and DataOps best practices across the data lifecycle.
- Collaborate with cross-functional stakeholders to understand business requirements, deliver high-quality data products, maintain documentation, and contribute to PALFINGER's data strategy.
- Drive continuous improvement and innovation by evaluating new technologies, optimizing infrastructure and cloud costs, supporting MLOps initiatives, and staying up to date with industry trends and advancements.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's or Master's degree in Computer Science, Engineering, Business Informatics, or a related technical field, combined with hands-on experience in building and maintaining data processing pipelines.
Qualifikationen
- Solid understanding of modern data platforms, such as data warehouses, data lakes, and big data technologies, as well as cloud environments including Azure, AWS, or GCP.
- Strong analytical, communication, and collaboration skills, with a self-driven and organized mindset, a passion for continuous learning, and fluency in English in an international business environment.
Erfahrung
- Strong expertise in data engineering technologies, including SQL, Python/Pandas, Spark, Azure Data Factory, and experience designing scalable data models and architectures.
- Experience with software development and agile methodologies, including CI/CD, Git, Scrum, or Kanban; knowledge of Databricks, Microsoft Fabric, Terraform, or Azure Bicep is considered a plus.
Unser Angebot
- Flexible working hours with no core time and possibility to work from home.
- Further training and international career opportunities.
- Corporate health management "PALfit".
- Company restaurant with freshly prepared meals and daily meal subsidy.
- Job ticket for travel to and from PALFINGER.
- Numerous employee discounts through Corporate Benefits.
- Minimum yearly gross salary according to the Austrian metal industry collective agreement is EUR 60.962,30 based on full-time employment.
- According to experience and qualification, we offer a market-conforming overpayment.
Benefits
Mehr Netto
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
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
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(2 Bewertungen)3.6
Career Growth
3.6Engineering
3.6Culture
3.5Workingconditions
4.0
Data Engineer
- Gehalt
- ab 60.962 € Brutto/JahrNetto aus dem Bruttogehalt im Inserat umgerechnet.ab 41.614 € netto/Jahr
- Ort
- Bergheim
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
