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Data Engineer Digital Services (fmd)

Siemens

Remote (Global) Mid Level From €5k/mo 2w ago

About the role

Data Engineer - Digital Services (f/m/d)

Location: 1010 Wien
Job‑ID: dngch7yz #API#database#SQL

Company

At SIEMENS Personaldienstleistungen 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.

About the Role

For an exciting assignment with our customer Siemens Smart Infrastructure we are looking for a Data Engineer (f/m/d) who is passionate about building reliable data products and pipelines enabling data‑driven development and supporting the deployment of scalable machine learning solutions in an AWS environment.

In this project‑based role you can work from anywhere in Austria. The position is available immediately and offered as a full‑time role (38.5 hours/week).

Your Tasks

  • Build and maintain data products to empower data scientists and engineers
  • Work closely with development teams to shape clear data interfaces and requirements
  • Design and implement scalable data pipelines using the AWS technology stack
  • Support automation of data science workflows and ensure repeatable ML deployments

Your Qualifications

  • 3 years of experience working with large‑scale data and building reliable data pipelines
  • Strong programming skills in Python and SQL plus hands‑on experience with Apache Spark (ideally PySpark)
  • Practical experience with AWS cloud services (e.g. Athena, Glue, SageMaker) and Infrastructure as Code (CDK, CloudFormation or Terraform)
  • Experience with CI/CD pipelines and REST API implementation
  • Clear communication skills for defining technical requirements; fluent in English
  • Experience with IoT and large‑scale time‑series data is a huge plus
  • Interest or hands‑on experience in MLOps and the AI product lifecycle are beneficial

Our Offer

The monthly gross salary according to the collective agreement of the electrical and electronics industry for this function is at least EUR 4.51555 (this in any case exceeds the collective agreement minimum salary). Depending on your education and experience an overpayment will determine your final salary during a personal conversation.

As part of an internationally operating corporate group we offer attractive career prospects and training opportunities providing diverse ways for you to make the best use of your potential.

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!

Contact: Jutta Maria Klein
E‑Mail:

Your Benefits (Ihre Vorteile)

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

Required Experience

IC

Key Skills

  • Laboratory Experience
  • Vendor Management
  • Design Controls
  • C/C++
  • FDA Regulations
  • Intellectual Property Law
  • ISO 13485
  • Research Experience
  • SolidWorks
  • Research & Development
  • Internet Of Things
  • Product Development

Employment Type

Full‑Time

Experience

years

Vacancy

1

Requirements

  • 3 years of experience working with large-scale data and building reliable data pipelines
  • Strong programming skills in Python and SQL plus hands-on experience with Apache Spark (ideally PySpark)
  • Practical experience with AWS cloud services (e.g. Athena Glue SageMaker) and Infrastructure as Code (CDK CloudFormation or Terraform)
  • Experience with CI/CD pipelines and REST API implementation
  • Clear communication skills for defining technical requirements; fluent in English

Responsibilities

  • Build and maintain data products to empower data scientists and engineers
  • Work closely with development teams to shape clear data interfaces and requirements
  • Design and implement scalable data pipelines using the AWS technology stack
  • Support automation of data science workflows and ensure repeatable ML deployments

Benefits

GesundheitHandyHomeofficeKantineParkplatzWeiterbildung

Skills

AWSApache SparkAthenaCDKCloudFormationCI/CDGlueInfrastructure as CodeIoTMLOpsPythonPySparkREST APISageMakerSQLTerraformtime-series data

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