Data Platform Engineer (AWS) (f/m/d)

Siemens Personaldienstleistungen GmbH
1210 Vienna,  Job-ID: awc367wd, 

#aws #DevOps #platformengineering



 

At SIEMENS Personaldienstleisungen GmbH (SPDL), a subsidiary of Siemens AG Austria, an exciting work environment backed by over 25 years of experience awaits you. We offer challenging opportunities within the diverse Siemens Group and with our well-known clients across Austria. We believe in equal opportunities, cultural diversity, and shared success.



Build the platform that powers modern engineering.

You enjoy creating environments where other engineers can do their best work? You're passionate about cloud technologies, automation, and building scalable solutions that make a real impact?

Help shape the cloud platform behind innovative digital products and data-driven solutions. Working in a modern AWS environment, you'll contribute to platform capabilities, scalable data pipelines, automation, reliability and engineering excellence, enabling AI/ML use cases.

This role is ideal for someone who combines strong hands-on engineering skills with a collaborative mindset and enjoys sharing knowledge and expertise with others.

This project-based role is immediately available as full-time assignment (38,5 h / week) to our customer, Siemens Smart Infrastructure. The location can be anywhere in Austria.

What you do

  • Design, build and improve cloud-native production infrastructure for data-processing workloads in AWS
  • Build operational tooling and scripts that reduce manual support effort, improve repeatability, and increase reliability across environments
  • Implement and maintain Infrastructure as Code and CI/CD pipelines for platform services, data-processing components, and supporting automation
  • Drive automation through Infrastructure as Code and modern DevOps practices
  • Support engineering teams with platform services, tooling and best practices
  • Improve observability, reliability, security and operational excellence
  • Collaborate with software, data and cloud engineers across different projects
 

What you bring

  • Experience in Platform Engineering, Cloud Software Engineering, DevOps, Site Reliability Engineering or related fields
  • Strong hands-on experience with AWS cloud services such as EKS, S3, IAM, Lambda, CloudWatch, EMR, Athena, Glue, or similar technologies in AWS
  • Experience with Infrastructure as Code (Terraform, CDK or similar)
  • Knowledge of CI/CD, automation and modern software delivery practices
  • Some knowledge of data engineering technologies such as SQL, Apache Spark, PySpark, Snowflake, Athena, Glue, or other data catalog and metadata tooling. SQL knowledge is a must-have.
  • Proficiency in programming languages such as Python and/or TypeScript/JavaScript
  • A self-driven mindset and the ability to work independently
  • Strong communication skills and a genuine interest in supporting and enabling other engineers
  • Full professional fluency in English

The reasons to join

  • Work with modern AWS technologies at scale
  • Shape platform capabilities that enable engineering teams to move faster
  • Take ownership and influence technical decisions
  • Collaborate with experienced engineers in a supportive environment
  • Continuously develop your skills and expand your technical expertise

 

The monthly gross salary for this role is at least EUR 4.500,00  and will in any case exceed the collective agreement minimum salary.

Depending on your education and experience, an overpayment is possible. We will determine your final salary during a personal conversation.

 

 

How to apply

If you are interested in this challenging and varied position, we look forward to receiving your online application via our career portal!

Kontakt: Jutta Maria Klein
e-Mail: jutta-maria.klein@siemens.com

Ihre Vorteile

Benefits
Gesundheit
Handy
Homeoffice
Kantine
Parkplatz
Weiterbildung
Benefits
Gesundheit
Handy
Homeoffice
Kantine
Parkplatz
Weiterbildung
  • Benefits
  • Gesundheit
  • Handy
  • Homeoffice
  • Kantine
  • Parkplatz
  • Weiterbildung

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