Senior Data Engineer: Scalable Pipelines & Governance

Scaletech Platforms GmbH; Wien; Híbrido; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

Scaletech Platforms GmbH in Vienna is seeking a data engineer to design, build, and optimize data pipelines across on-premise and cloud environments. You will improve data platforms, ensure performance and scalability, and develop analytics-ready data models.

Responsibilities include implementing data quality frameworks, establishing data governance practices, and collaborating with cross-functional teams to translate requirements into concrete data solutions using SQL and Python on AWS/Azure

Formación

• 5+ years of experience in data engineering or a similar role.
• Strong proficiency in SQL and Python with experience in data warehousing and cloud migration projects.
• Experience with Snowflake or comparable platforms such as Databricks, BigQuery or Redshift.
• Hands-on experience with AWS or Azure cloud platforms.
• Knowledge of ETL processes, data modeling, and data governance.
• Excellent communication skills and ability to collaborate with clients and cross-functional teams.
• Proficiency in English; German is a plus.

Responsabilidades

• Design, develop and optimize data pipelines across on-premise and cloud environments.
• Enhance data platforms and optimize performance and scalability.
• Build and maintain data models optimized for analytics.
• Implement data quality frameworks for validation, testing, and monitoring.
• Establish best practices for data governance, ensuring data integrity and security.
• Collaborate with other data teams to translate requirements into solutions.

Conocimientos

SQL

Python

Data warehousing

Cloud migration

Data modeling

Data governance

Communication

English

German language

Herramientas

Snowflake

Databricks

BigQuery

Redshift

AWS

Azure

Descripción del empleo

Scaletech Platforms GmbH in Vienna is seeking a data engineer to design, build, and optimize data pipelines across on-premise and cloud environments. You will improve data platforms, ensure performance and scalability, and develop analytics-ready data models.

Responsibilities include implementing data quality frameworks, establishing data governance practices, and collaborating with cross-functional teams to translate requirements into concrete data solutions using SQL and Python on AWS/Azure