b.telligent Gruppe
Senior Data Engineer (m/w/x)
Vollzeitmit HomeofficeSenior
Wien
Neuer Job?Nejo!
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ZÜZühlke Engineering (Austria) GmbH
Advanced Data Engineer (m/w/x)
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing and building productive data products, including data lakes and streaming pipelines, for health and finance clients. 3+ years of data engineering experience required. Profit share scheme, flexible hours, and remote work.
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Anforderungen
- University degree (Uni, FH) in computer science, software engineering, data science, or comparable education
- At least 3 years in data or software engineering
- Experience designing, building, and maintaining high quality productive data products
- Understanding of data analysis, data visualization, and optionally data science
- Foundational knowledge of data architectures (Data Lake, Data Lakehouse, Medallion, Data Products, streaming, batch processing)
- Experience with Cloud Data Platforms (Databricks, Microsoft Fabric, Snowflake, Amazon Sagemaker)
- Hands-on skills or keen interest in Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, Python, Scala, SQL, R
- Hands-on experience with relational and non-relational databases
- Familiarity with big data infrastructures and concepts
- Practical knowledge handling varied structured and unstructured data (text, tabular, graph, time-series, geospatial, image)
- Experience with agile development, DevOps methodologies, and AI-augmented software engineering
- Fluency in German and English
- Willingness to apply despite not meeting all requirements
- Welcome from all backgrounds
Aufgaben
- Design, implement, and maintain data pipelines
- Understand client data needs and realize tailored solutions
- Serve as a trusted advisor to customers on technical solutions
- Communicate proposed solutions to technical and non-technical stakeholders
- Develop, test, and monitor distributed data processing pipelines
- Extrapolate versatile data sets and sources
- Produce high-quality, reproducible datasets in a scalable and maintainable way
- Collaborate with Architects, Software Engineers, and Data Scientists
- Understand the needs of data service producers and consumers
- Ensure data products meet user requirements
- Deliver projects iteratively in an agile way
- Stay technically sharp and learn new concepts and technologies
Berufserfahrung
3 Jahre
Ausbildung
Bachelor-Abschluss
Sprachen
Deutsch – fließend
Englisch – fließend
Tools & Technologien
DatabricksMicrosoft FabricSnowflakeAmazon SagemakerApache SparkDelta LakeAirflowKafkaKubernetesTerraformFastAPIPythonScalaSQLR
Benefits
Flexibles Arbeiten
- Flexible working hours
- Work from home
Boni & Prämien
- Profit share scheme
Sicherer Arbeitsplatz
- Safe and healthy workplace
Lockere Unternehmenskultur
- Global and diverse community
Team Events & Ausflüge
- Annual team camps
- Year-end parties
- Local festivities
Weiterbildungsangebote
- Commitment to development
- Investment in employee growth
- Skill building opportunities
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Zühlke Engineering (Austria) GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Zühlke Engineering (Austria) GmbHÜber das Unternehmen
ZÜ
EngineeringWien
The company is a global transformation partner specializing in engineering and innovation, helping clients build resilient businesses.
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