6 beste Stellen als engineer (python) in schwechat nö – aktuell auf Personalsuche

Data Engineer (f/m/d) - Smart Buildings & IoT Analytics
Siemens —Wien, W
- Vollzeit
- Homeoffice
- Master
- Bachelor
18 Std.
Linux DevOps Engineer (w/m/d)
AGES - Österreichische Agentur für Gesundheit und Ernährungssicherheit —Wien, W
- Vollzeit
- Master
4 Tage
Site Reliability Engineer (m/f/d)
REWE Group —Wien, W
- Vollzeit
- Bachelor
14 Std.
(Senior) IAM Engineer (m/w/d)
STIX EXPERTS —Wien, W
- Vollzeit
21 Std.
AI Architect (w/m/x)
Avanade —Wien, W
- Master
19 Std.
Test Automation Engineer
Loytec —Wien, W
- Vollzeit
Direkt bewerben
3 Std.

More jobs to discover

Find similar jobs that you might be interested in.

Linux DevOps Engineer (w/m/d)
AGES - Österreichische Agentur für Gesundheit und Ernährungssicherheit —Wien, W
Probleme meistern: 3rd-Level-Support für komplexe technische Herausforderungen. Erfahrung mit Technologien wie Ansible, Gitlab, Nexus, Jenkins, PostgreSQL,…
4 Tage
DevOps- / Integration-Engineer für Kommunikationslösungen (m/w/d, Vollzeit)
Voxtronic Holding GmbH —Wien, W
Als qualifizierter DevOps/Integration Engineer unterstützt du Projektmitarbeiter und Kunden bei der Umsetzung anspruchsvoller Projekte.

Ich möchte aktuelle Job-E-Mails für Stellen als engineer (python) in schwechat nö erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

engineer (python) jobs near schwechat nö

Data Engineer (f/m/d) - Smart Buildings & IoT Analytics

Siemens -
Wien, W

Jetzt bewerben

Details zur Stelle

Festanstellung | Vollzeit
vor 18 Stunden

Qualifikationen

Master
Bachelor

Vollständige Stellenbeschreibung

We make real what matters.

At Siemens Austria, we have been driving innovation for over 140 years - combining technology, sustainability, and purpose to tackle the biggest challenges of our time.

Ready to shape the future of intelligent infrastructure with us?

Siemens Smart Infrastructure (SI) is shaping the market for intelligent, adaptive infrastructure for today and the future. By connecting energy systems, buildings, and industries, we help address the key challenges of urbanization and climate change. Our portfolio spans from power generation to consumption - creating smarter, more sustainable environments.

We foster an ownership culture where every employee takes responsibility for our success. We empower our people to innovate, take ownership, and continuously grow through diverse development opportunities.

Your impact

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.

The Job

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).

Your Profile - Minimum qualifications

3+ years of experience working with data at scale
Bachelor’s or Master’s degree in Computer Science, Engineering, or similar
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
Strong programming skills in Python and SQL.
Strong understanding of databases (SQL and NoSQL), complex SQL queries and their performance across large, distributed databases
Experience with Apache Spark (ideally PySpark)
REST API usage, definition, and implementation.
Clear communication skills and ability to define technical requirements.

Preferred qualifications

Experience with TypeScript/JavaScript.
Working knowledge of different database technologies (e.g. PostgreSQL, DynamoDB, etc.)
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

Our Benefits

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
and much more

Our offer

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.

Our Application Process

If we sparked your interest in this position, we look forward to your strong position. The position is available immediately. For further information, Ms. Isabella Mesiha is available at [email protected].

Jetzt bewerben

Erweiterte Suche

engineer (python) Jobs in schwechat nö

Data Engineer (f/m/d) - Smart Buildings & IoT Analytics

Linux DevOps Engineer (w/m/d)

Site Reliability Engineer (m/f/d)

(Senior) IAM Engineer (m/w/d)

AI Architect (w/m/x)

Test Automation Engineer

More jobs to discover

Ich möchte aktuelle Job-E-Mails für Stellen als engineer (python) in schwechat nö erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt