Advanced Data Engineer (AI & Data)

Location: Vienna, Austria; possibility to work from home with flexible working hours

Company

Zühlke is a global transformation partner delivering technology strategy, digital solutions, data platforms, and engineering services across regulated and complex industries.

What you will do

• Advise clients on technical solutions for data challenges and explain proposed approaches to technical and non-technical stakeholders.
• Design, develop, test, and monitor distributed data processing pipelines.
• Build high-quality, reproducible, scalable, and maintainable datasets from diverse data sources.
• Develop data products that meet the needs of data producers and consumers.
• Collaborate with data architects, software engineers, and data scientists.
• Deliver projects iteratively using agile methods and continuously expand technical expertise.

Requirements

• University degree in computer science, software engineering, data science, or a comparable field.
• At least 3 years of experience in data engineering or software engineering.
• Experience designing, building, and maintaining production-quality data products.
• Knowledge of data architectures including data lakes, data lakehouses, medallion architectures, data products, streaming, and batch processing.
• Experience with cloud data platforms such as Databricks, Microsoft Fabric, Snowflake, or Amazon SageMaker, plus relational and non-relational databases.
• Hands-on experience or strong interest in Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, Python, Scala, SQL, or R; fluency in German and English is required.

Nice to have

• Knowledge of data analysis, data visualization, or data science.
• Experience with big data infrastructures and structured, unstructured, graph, time-series, geospatial, or image data.
• Experience with agile development, DevOps methodologies, and AI-augmented software engineering.

Culture & Benefits

• Flexible working hours and the possibility to work from home.
• Annual salary supplemented by a potential profit-sharing payment based on company performance.
• Global and diverse community spanning 16 offices, with team camps and local events.
• Investment in professional development and skills growth.