Data Engineer - Digital Services (m/f/d)
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We make real what matters.
Siemens Austria is one of the leading technology companies in the country. For more than 140 years, we have stood for sustainability, innovation, quality, reliability and place great value on diversity in our teams, promoting diversity in all its dimensions. Would you like to shape intelligent infrastructure for the future at one of the world's most innovative companies? At a company that contributes to the responsible use of resources with smart digital solutions, promotes the integration of renewable energies and fights climate change?
More about the Siemens area in which you could be active in the future: Siemens Smart Infrastructure.
The Job
The gross annual salary according to the collective agreement of the electrical and electronics industry for this function is at least EUR 61,377,- (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, Mr. Rafael Fletzberger is available at rafael.fletzberger@siemens.com.
Data Engineer - Digital Services (m/f/d)
Auf diesen Job bewerben
Siemens Austria is one of the leading technology companies in the country. For more than 140 years, we have stood for sustainability, innovation, quality, reliability and place great value on diversity in our teams, promoting diversity in all its dimensions. Would you like to shape intelligent infrastructure for the future at one of the world's most innovative companies? At a company that contributes to the responsible use of resources with smart digital solutions, promotes the integration of renewable energies and fights climate change?
More about the Siemens area in which you could be active in the future: Siemens Smart Infrastructure.
The Job
- Support data scientists and engineers by building and maintaining data products that can support their work
- Work closely with our development teams to ensure clear data requirements and interfaces
- Build data pipelines using AWS technology stack and connect data silos within applications
- Support the automation of data science workflows and the deployment of mature ML projects in a repeatable way
- Bachelor's degree or Μaster's degree in Computer Science, Engineering, Information Technology or relevant technical discipline
- Minimum 3 years of hands-on experience in working with data at scale
- Experience in building and maintaining data pipelines
- Experience with Infrastructure as Code (e,g cdk, CloudFormation or Terraform) and cloud-native technologies in AWS (e.g Athena, AWS Glue, Sagemaker, etc.)
- Experience in building CI/CD pipelines
- Strong programming skills in Python and SQL
- Experience with Apache Spark (ideally pyspark)
- REST API usage, definition, and implementation
- Clear communication skills and ability to define technical requirements
- Fluent in English
- Experience in working with IoT and timeseries data at scale
- 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
- 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
The gross annual salary according to the collective agreement of the electrical and electronics industry for this function is at least EUR 61,377,- (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, Mr. Rafael Fletzberger is available at rafael.fletzberger@siemens.com.
Data Engineer - Digital Services (m/f/d)
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