Data Engineer (all genders)

You will work with a state-of-the-art data stack and modern AI-supported engineering workflows in a fast-paced growth environment., * Build, maintain, and optimize data models in a modern data warehouse.

• Write and improve SQL-based transformations for analytics, reporting, monitoring, and operational use cases.
• Develop Python-based data processing jobs, utilities, and automation.
• Improve data quality through testing, monitoring, documentation, and clear ownership.
• Provide clean, reusable, and well-documented data assets for BI, Data Science, Product, Customer Success, and other teams.
• Collaborate closely with Data Science, System & Infrastructure, and business teams to turn data needs into reliable data products.
• Techstack: BigQuery, dbt, SQL, and Python for data modelling, transformation, and automation.
• Kafka and Flink for streaming and real-time data processing.
• Google Cloud Platform, Docker, Kubernetes, and Git- based CI/CD workflows., * High-impact work in an agile, international scale-up environment, collaborating closely with a small and dynamic team to drive innovation and sustainable growth.
• Flexible working model - a modern office at TU Graz Inffeld Campus combined with up to 25% remote work.
• Attractive benefits: Public transport subsidy, Edenred vouchers, “Firmenradl” bike leasing, company fitness cards, and team events.

We are looking for a motivated Data Engineer to join our Data Engineering team. In this role, you will build reliable data models, pipelines, and data products that help teams across smaXtec make better decisions and run operational use cases with high-quality data., * Strong SQL skills for querying, modelling, and transforming data in a warehouse environment.

• Solid Python skills for data processing, automation, and pipeline development.
• Experience with cloud data warehouses, ideally Google BigQuery.
• Understanding of data modelling, ETL/ELT concepts, and data quality practices.
• Familiarity with Git-based development workflows, code reviews, and CI/CD.
• Strong communication skills and ability to collaborate in cross-functional teams., * Experience with dbt or similar data transformation frameworks.
• Hands-on experience with Google Cloud Platform.
• Basic understanding of Docker, Kubernetes, or scheduled pipeline execution.
• Experience working with Business Intelligence, Data Science, or analytics teams., * Graz

Must-have skills

• Strong SQL skills
• Solid Python skills
• cloud data warehouses (ideally Google BigQuery)
• data modelling and ETL and ELT concepts and data quality practices
• Git-based development workflows and code reviews and CI CD, * dbt or similar data transformation frameworks
• Google Cloud Platform
• Docker or Kubernetes or scheduled pipeline execution
• Business Intelligence or Data Science or analytics teams

Full Time (Permanent employment)

• Monday to Friday
• 38,5 hours
• 25% Homeoffice