{"id":4083353,"url":"https://alion.io/job/smaxtec-data-engineer-all-genders","title":"Data Engineer (all genders)","company":{"id":1811016,"name":"smaXtec","domain":"smaxtec.com","url":"https://alion.io/company/smaxtec","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Graz, Austria"],"countries":["AT"],"hiring_countries":["AT"],"hiring_countries_total":1,"salary":{"min":42000,"max":null,"currency":"EUR","period":"year","gross":null,"usd_annual":46615},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T08:57:10Z","employer_posted_date":null,"last_verified_at":"2026-11-09T08:57:10Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"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. \n\n You will work with a state-of-the-art data stack and modern AI-supported engineering workflows in a fast-paced growth environment. \n\nData Engineer (ALL GENDERS)\nGraz | full-time | all genders\n\nROLE & RESPONSIBILITES\n\nBuild, maintain, and optimize data models in a modern data warehouse. \n\nWrite and improve SQL-based transformations for analytics, reporting, monitoring, and operational use cases. \n\nDevelop Python-based data processing jobs, utilities, and automation. \n\nImprove data quality through testing, monitoring, documentation, and clear ownership. \n\nProvide clean, reusable, and well-documented data assets for BI, Data Science, Product, Customer Success, and other teams. \n\nCollaborate closely with Data Science, System & Infrastructure, and business teams to turn data needs into reliable data products. \n\nTechstack: BigQuery, dbt, SQL, and Python for data modelling, transformation, and automation. \n\nKafka and Flink for streaming and real-time data processing. \n\nGoogle Cloud Platform, Docker, Kubernetes, and Git- based CI/CD workflows. \n\nYOUR PROFILE\n\nStrong SQL skills for querying, modelling, and transforming data in a warehouse environment. \n\nSolid Python skills for data processing, automation, and pipeline development. \n\nExperience with cloud data warehouses, ideally Google BigQuery. \n\nUnderstanding of data modelling, ETL/ELT concepts, and data quality practices. \n\nFamiliarity with Git-based development workflows, code reviews, and CI/CD. \n\nStrong communication skills and ability to collaborate in cross-functional teams. \n\nNice to have:\n\nExperience with dbt or similar data transformation frameworks. \n\nHands-on experience with Google Cloud Platform. \n\nBasic understanding of Docker, Kubernetes, or scheduled pipeline execution. \n\nExperience working with Business Intelligence, Data Science, or analytics teams. \n\nOUR OFFER\n\nHigh-impact work in an agile, international scale-up environment, collaborating closely with a small and dynamic team to drive innovation and sustainable growth. \n\nFlexible working model - a modern office at TU Graz Inffeld Campus combined with up to 25% remote work. \n\nAttractive benefits: Public transport subsidy, Edenred vouchers, \"Firmenradl\" bike leasing, company fitness cards, and team events. \n\nSalary\nAbout this job\nEmployment type: Full Time (Permanent employment) \n\nSalary: from 42,000 EUR yearly \n\nSeniority level: Professional Experience \n\nWork model: Hybrid \n\nPlace of work: Graz \n\nField of work: IT, Data Processing \n\nUnfilled vacancies: 1 vacancy unfilled for this position \n\nAbout the company\nEmployer: smaXtec animal care GmbH \n\nNumber of employees: 101 - 500 employees \n\nLocations: Graz \n\nDetails about this job\nFull Time (Permanent employment)\n\nMonday to Friday \n\n38,5 hours \n\n25% Homeoffice \n\nPlace of work\n\nGraz \n\nMust-have skills\n\nStrong SQL skills \n\nSolid Python skills \n\ncloud data warehouses (ideally Google BigQuery) \n\ndata modelling and ETL and ELT concepts and data quality practices \n\nGit-based development workflows and code reviews and CI CD \n\nNice-to-have skills\n\ndbt or similar data transformation frameworks \n\nGoogle Cloud Platform \n\nDocker or Kubernetes or scheduled pipeline execution \n\nBusiness Intelligence or Data Science or analytics teams \n\nBenefits\n\nHome office \n\nTransportation allowance \n\nMeal allowance \n\nBike leasing \n\nFitness programs \n\nTeam events","description_format":"text","description_chars":3621,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Home 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