Job
- Level
- Experienced
- Job Field
- Data, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 62.609 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data pipelines in AWS to process IoT data for smart buildings, enabling advanced analytics that enhance energy efficiency and sustainability.
Job Technologies
Your role in the team
- 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.
- 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).
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Our expectations of you
Education
- Bachelor's or Master's degree in Computer Science, Engineering, or similar.
Qualifications
- Strong programming skills in Python and SQL.
- Strong understanding of databases (SQL and NoSQL), complex SQL queries and their performance across large, distributed databases.
- REST API usage, definition, and implementation.
- Clear communication skills and ability to define technical requirements.
- Working knowledge of different database technologies (e.g. PostgreSQL, DynamoDB, etc.).
Experience
- 3+ years of experience working with data at scale.
- 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.
- Experience with Apache Spark (ideally PySpark).
- Experience with TypeScript/JavaScript.
- 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.
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What we offer
- 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.
- 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.
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Benefits
More net
- 👷♂️Additional Insurance
- 🚎Public Transport Allowance
- 👴🏻Company Retirement Provision
- 🍰Employee Stock Option
- 🏝️Summer and Christmas Bonus
Food & Drink
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Siemens AG Österreich
Völkermarkter Vorstadt, Graz, Weiz, Innsbruck, Salzburg, Wien, Linz
At Siemens Austria, we are proud to be one of the leading technology companies in the country. With over 12,500 employees (including our subsidiary companies), Siemens is one of the largest private employers in Austria. We offer our employees top-quality technology products and services, as well as a dynamic work environment that encourages creativity and innovation.
Description
- Company Size
- 250+ Employees
- Founding year
- 2001
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Electronics, Automatization, Internet, IT, Telecommunication, Engineering Industry
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(1 Review)Career Growth
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3.8Engineering
2.8
