Data Engineer

Innsbruck Data Vollzeit Unbefristetes DienstverhÀltnis m/w/x

Technologien und Skills

Deine Rolle im Team

  • Managing end to end data pipelines to source and transform data to the Data & Analytics Platform(s).
  • Integrating new data sources (internal and external) by creating a full pipeline from ingestion to ETL process.
  • Delivering Data Provisioning to operational applications requiring transformation of data from several sources.
  • Optimizing and expanding the Data & Analytics platform data flows and data models, supporting the Data Scientists or Business Intelligence Manager in deploying analytics products.
  • Assessing the stability, robustness and efficiency of the implemented ETL processes and data pipelines and eventually re-design them.
  • Gathering requirements and writing technical specifications document.
  • Ensuring and monitoring high data quality standards with focus on data consistency.
  • Timely resolving incidents related to data interfaces and ETL processes.
  • Expanding the current Data & Analytics platform to embed "big data" capability by investigating and sharing best practices.

Unsere Erwartungen an dich


  • Ability to think beyond technology requirements to build ONE logical Data & Analytics platform.
  • Well structured, analytically thinking and demonstrating the ability to explain processes in a clear and understandable manner to a non-technical audience.
  • System management expertise with monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.
  • Excellent interpersonal communication and presentation skills.
  • Self-driven, flexible, open minded professional and proactive team player who ensures implementation towards agreed goals and timelines.
  • Ability to take ownership and proven strive for excellence.
  • Fluency in English.


  • 3+ years of professional experience in Data Engineering, Business Analytics and related fields.
  • Excellent knowledge and proven professional experience with the SAS software suite, especially SAS Data Integration Studio and SAS Management Console and/or big data tools (Hadoop, Spark, Kafka, Alteryx, ) as well as cloud services and/or SAP BW (data warehouse).
  • Professional experience and conceptual knowledge of building and maintaining physical and logical data models.

Das ist dein Arbeitgeber

AT&S has become technology leader in the PCB industry: Core businesses are Mobile Devices, Automotive, Industrial, Medical, Aviation and Advanced Packaging.


Elektronik, Automatisation

Industrie, Produktion

Internet, IT, Telekom


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