Job
- Level
- Experienced
- Job Field
- Data, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 60.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable data solutions, implement robust ETL/ELT pipelines, and integrate diverse data sources to create efficient data models for analytical applications.
Job Technologies
Your role in the team
- You play a central role in the Research, Development, and Innovation team, which develops scalable data solutions for internal and external projects using state-of-the-art technologies.
- They design, implement, and optimize robust data pipelines (ETL/ELT) and ensure that data is processed and delivered reliably, securely, and efficiently.
- They design and implement suitable storage solutions (SQL and NoSQL databases, Data Lakes, Data Warehouses, etc.).
- They integrate data from a variety of sources (SQL/NoSQL databases, APIs, streaming data, flat files, etc.) and develop suitable data models for analytical and operational applications.
- They design and operate scalable data infrastructures, ensuring that they meet governance, security, and compliance requirements.
- You work closely with Data Scientists, Software Engineers, Machine Learning Engineers, and external stakeholders, and elevate data-driven prototypes to production-ready status.
- They manage the RD&I Azure Management Group, monitor the cost structure, and analyze optimization potentials.
- You are involved in the development of the tech stack, evaluate new technologies, and actively shape the technological direction of the team.
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Our expectations of you
Education
- Completed education in the fields of Computer Science, Data Engineering, Data Science, or a comparable discipline (University/TU/FH).
Qualifications
- Solid knowledge of Python, SQL, and at least one Data Engineering platform (Databricks, or similar).
- Familiarity with CI/CD methodology, containerization (Docker), and Infrastructure-as-Code (Pulumi).
- Excellent written and spoken proficiency in German and English.
Experience
- At least 3 years of professional experience in building data pipelines, data integration, and data modeling, as well as in operating distributed data processing systems.
- Excellent knowledge of Microsoft Azure, with specific experience in cloud-based data architectures (Azure Data Factory, Azure Synapse, Azure Storage, Event Hubs, Apache Airflow or similar).
- Structured, solution-oriented working style, high level of initiative, and enjoyment in knowledge and experience exchange within the team.
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What we offer
- We offer a work environment characterized by appreciation with development opportunities at a modern office location.
- For this position, an annual gross salary of approximately EUR 60,000 is planned, depending on qualifications and experience.
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Benefits
Work-Life-Integration
Food & Drink
Health, Fitness & Fun
More net
Topics that you deal with on the job
Job Locations
This is your employer
TÜV AUSTRIA
Brunn Am Gebirge, Wien, Leonding
At TÜV AUSTRIA, more than 1.300 experts are dedicated to providing our customers with tailored services in over 30 countries around the world. Our 270 different service competencies include industrial services, inspection and monitoring, certification, IT security solutions, business consulting, insurance services and training. We are your partner for a safe and successful future!
Description
- Founding year
- 1872
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Other Sectors
Data Engineer
- Salary
- from 60.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
