The AI Job Search Engine
Data Engineer - Digital Services(m/w/x)
Building and maintaining data products for digital services. 3+ years large-scale data experience required. Company mobile phone, home office.
Requirements
- 3+ years large-scale data experience
- Building reliable data pipelines
- Strong Python programming skills
- Strong SQL programming skills
- Hands-on Apache Spark experience
- Ideally PySpark experience
- Practical AWS cloud services experience
- Infrastructure as Code experience
- CI/CD pipelines experience
- REST API implementation experience
- Clear communication skills for technical requirements
- IoT experience is a huge plus
- Large-scale time-series data experience is a huge plus
- Interest in MLOps beneficial
- Hands-on MLOps experience beneficial
- Interest in AI product lifecycle beneficial
- Hands-on AI product lifecycle experience beneficial
Tasks
- Build and maintain data products
- Empower data scientists and engineers
- Collaborate with development teams
- Define clear data interfaces
- Define data requirements
- Design scalable data pipelines
- Implement scalable data pipelines
- Utilize the AWS technology stack
- Support automation of data science workflows
- Ensure repeatable ML deployments
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Fluent
Tools & Technologies
- Python
- SQL
- Apache Spark
- PySpark
- AWS
- Athena
- Glue
- SageMaker
- CDK
- CloudFormation
- Terraform
- CI/CD pipelines
- REST API
Benefits
Healthcare & Fitness
- Health benefits
Modern Equipment
- Company mobile phone
Flexible Working
- Home office
Free or Subsidized Food
- Canteen
Parking & Commuter Benefits
- Parking space
Learning & Development
- Further education
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Data Engineer - Digital Services(m/w/x)
Building and maintaining data products for digital services. 3+ years large-scale data experience required. Company mobile phone, home office.
Requirements
- 3+ years large-scale data experience
- Building reliable data pipelines
- Strong Python programming skills
- Strong SQL programming skills
- Hands-on Apache Spark experience
- Ideally PySpark experience
- Practical AWS cloud services experience
- Infrastructure as Code experience
- CI/CD pipelines experience
- REST API implementation experience
- Clear communication skills for technical requirements
- IoT experience is a huge plus
- Large-scale time-series data experience is a huge plus
- Interest in MLOps beneficial
- Hands-on MLOps experience beneficial
- Interest in AI product lifecycle beneficial
- Hands-on AI product lifecycle experience beneficial
Tasks
- Build and maintain data products
- Empower data scientists and engineers
- Collaborate with development teams
- Define clear data interfaces
- Define data requirements
- Design scalable data pipelines
- Implement scalable data pipelines
- Utilize the AWS technology stack
- Support automation of data science workflows
- Ensure repeatable ML deployments
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Fluent
Tools & Technologies
- Python
- SQL
- Apache Spark
- PySpark
- AWS
- Athena
- Glue
- SageMaker
- CDK
- CloudFormation
- Terraform
- CI/CD pipelines
- REST API
Benefits
Healthcare & Fitness
- Health benefits
Modern Equipment
- Company mobile phone
Flexible Working
- Home office
Free or Subsidized Food
- Canteen
Parking & Commuter Benefits
- Parking space
Learning & Development
- Further education
About the Company
SIEMENS Personaldienstleisungen GmbH
Industry
IT
Description
SIEMENS Personaldienstleisungen GmbH is a subsidiary of Siemens AG Austria with over 25 years of experience, offering opportunities within the Siemens Group and with clients.
Not a perfect match?
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Data Engineer for Corporate & Investment Banking(m/w/x)
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Data Engineer(m/w/x)
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Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedWienfrom 56,000 / year - Capgemini
(Senior) Data Engineer (Databricks/Snowflake)(m/w/x)
Full-timeWith HomeofficeExperiencedWien, Grazfrom 60,000 / year