Job
- Level
- Erfahren
- Job Feld
- Data, Embedded
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 62.609 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du Datenpipelines in AWS, um IoT-Daten für intelligente Gebäude zu verarbeiten und fortschrittliche Analysen zu ermöglichen, die Energieeffizienz und Nachhaltigkeit fördern.
Job Technologien
Deine Rolle im Team
- As a Data Engineer (IoT & Smart Buildings), you will enable advanced analytics that make buildings smarter, more energy-efficient, and sustainable.
- Working with complex IoT data, you will build the foundation for data-driven solutions that reduce energy consumption and maintenance costs.
- Build and maintain data products and supporting data infrastructure at scale in AWS.
- Build data pipelines using AWS technology stack and connect data silos within applications.
- Support the automation and deployment of AI/ML workflows.
- Define data ingestion, formats/schemas, metadata/catalog integrations, federated access, and data-product creation.
- Enable advanced analytics, AI/ML, and data-driven use cases by defining efficient data-access patterns and tooling (e.g. for LLM context engineering).
Unsere Erwartungen an dich
Ausbildung
- Bachelor's or Master's degree in Computer Science, Engineering, or similar.
Qualifikationen
- Strong programming skills in Python and SQL.
- Strong understanding of databases (SQL and NoSQL), complex SQL queries and their performance across large, distributed databases.
- REST API usage, definition, and implementation.
- Clear communication skills and ability to define technical requirements.
- Working knowledge of different database technologies (e.g. PostgreSQL, DynamoDB, etc.).
Erfahrung
- 3+ years of experience working with data at scale.
- Experience in building and maintaining data pipelines.
- Experience with Infrastructure as Code (ideally CDK, CloudFormation, Terraform) and cloud-native technologies in AWS (e.g. Lambda, Athena, Glue, SageMaker, S3, etc.).
- Experience in building CI/CD pipelines.
- Experience with Apache Spark (ideally PySpark).
- Experience with TypeScript/JavaScript.
- Solid experience in collaborating with Data Scientists and Machine Learning engineers.
- Interest and/or hands-on experience in MLOPs and AI product lifecycle.
- Domain experience with (or strong willingness to learn about) IoT and timeseries data, building automation systems, digital twins, or other smart buildings-related technologies.
Unser Angebot
- Flexible working hours.
- Uncomplicated home office regulation including payment of a home office flat rate.
- We are closed on bridging days or between Christmas and New Year.
- Extensive development opportunities.
- Canteen at the location.
- The gross annual salary according to the collective agreement of the electrical and electronics industry for this function is at least EUR 62.609,54 (this in any case exceeds the collective agreement minimum salary).
- Depending on education and experience, an overpayment is possible.
Benefits
Mehr Netto
- 👷♂️Zusatzversicherung
- 🚎Verkehrsmittel-Zuschuss
- 👴🏻Betr. Altersvorsorge
- 🍰Mitarbeiterbeteiligung
- 🏝️Urlaubs- und Weihnachtsgeld
Essen & Trinken
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Siemens AG Österreich
Völkermarkter Vorstadt, Graz, Weiz, Innsbruck, Salzburg, Wien, Linz
Die Siemens AG Österreich zählt zu den führenden Technologieunternehmen des Landes. Mit rund 12.500 Mitarbeitern ist Siemens (inkl. Tochterunternehmen) einer der größten privaten Arbeitgeber Österreichs und somit in vielerlei Hinsicht bestens aufgestellt, um Ihnen die optimale Beschäftigungsmöglichkeit anzubieten!
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2001
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Elektronik, Automatisation, Internet, IT, Telekom, Maschinenbau, Anlagenbau
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Gesamt
(1 Bewertung)3.6
Career Growth
3.6Culture
4.2Workingconditions
3.8Engineering
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