Data Engineer (all genders)

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.

You will work with a state-of-the-art data stack and modern AI-supported engineering workflows in a fast-paced growth environment.

Data Engineer (ALL GENDERS)

Graz | full-time | all genders

ROLE & RESPONSIBILITES

• 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.

YOUR PROFILE

• 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.

Nice to have:

• 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.

OUR OFFER

• 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.

Salary About this job

Employment type: Full Time (Permanent employment)

Salary: from 42,000 EUR yearly

Seniority level: Professional Experience

Work model: Hybrid

Place of work: Graz

Field of work: IT, Data Processing

Unfilled vacancies: 1 vacancy unfilled for this position

About the company

Employer: smaXtec animal care GmbH

Number of employees: 101 - 500 employees

Locations: Graz

Details about this job Full Time (Permanent employment)

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

Place of work

• 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

Nice-to-have skills

• dbt or similar data transformation frameworks
• Google Cloud Platform
• Docker or Kubernetes or scheduled pipeline execution
• Business Intelligence or Data Science or analytics teams

Benefits

• Home office
• Transportation allowance
• Meal allowance
• Bike leasing
• Fitness programs
• Team events