Advanced Data Engineer: Build Scalable Data Pipelines

Zuehlke Engineering Vietnam LLC.; Wien; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Work life blend

Profit share scheme

Global and Diverse Zühlke community

Development opportunities

Zusammenfassung

Zühlke is seeking an Advanced Data Engineer in Vienna to design, implement, and maintain data pipelines that empower data-driven decisions across industries. You will work closely with clients to understand data needs and translate them into scalable data solutions, leveraging Spark, Delta Lake, and cloud data platforms.

You will collaborate with data architects, software engineers, and data scientists, while applying agile practices and staying current with new technologies to deliver

Qualifikationen

• University degree (Uni, FH) in computer science, software engineering, data science, or a comparable education.
• At least 3 years in data or software engineering positions.
• Experience designing, building, and maintaining high quality productive data products that meet the needs of data consumers.
• An understanding of common approaches to data analysis, data visualization, and optionally data science so you can produce the right data for data consumers.
• Foundational knowledge of data architectures (Data Lake, Data Lakehouse, Medallion, Data Products, streaming, batch processing).
• Experience with Cloud Data Platforms like Databricks, Microsoft Fabric, Snowflake or Amazon Sagemaker.
• Hands-on with technologies such as Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, and programming languages (Python, Scala, SQL, R).
• Hands-on experience with both relational and non-relational databases.
• Fluency in German and English.

Aufgaben

• Design, implement, and maintain distributed data processing pipelines.
• Extrapolate versatile data sets and sources to produce high quality, reproducible datasets.
• Collaborate with Architects, Software Engineers, and Data Scientists to deliver data products.
• Communicate the what, why and how of proposed solutions to technical and non-technical stakeholders.
• Deliver projects in an agile way, building iteratively to produce value from data early and frequently.
• Keep technically sharp and open to learning new concepts and technologies.

Kenntnisse

German language

English language

Data engineering

Apache Spark

SQL

Python

Ausbildung

University degree in CS/Software Engineering

Tools

Databricks

Snowflake

Airflow

Kafka

Kubernetes

Terraform

FastAPI

Python

SQL

Delta Lake

Jobbeschreibung

Zühlke is seeking an Advanced Data Engineer in Vienna to design, implement, and maintain data pipelines that empower data-driven decisions across industries. You will work closely with clients to understand data needs and translate them into scalable data solutions, leveraging Spark, Delta Lake, and cloud data platforms.

You will collaborate with data architects, software engineers, and data scientists, while applying agile practices and staying current with new technologies to deliver