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Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 14, 2026. ams OSRAM scores A on the Alion truth index.

Overview
Company
Impact
Profile match
ams OSRAM is an Austrian semiconductor company headquartered in Premstaetten near Graz. It designs optical sensors, emitters and lighting components used in smartphones, cars and medical devices. The group was formed when ams acquired the German lighting company OSRAM and is listed on the SIX Swiss Exchange.

Sense the power of light

The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” - our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends. Find out more about us on https://ams-osram.com

Your new responsibilities

  • Work closely with data scientists, business analysts and other stakeholders to understand their data requirements and translate them into technical specifications and data models.
  • Collaborate with data architects to design and implement cloud-based data solutions that align with business needs.
  • Facilitate internal knowledge sharing to ensure team members are informed about the latest best practices.
  • Implement scalable and robust data pipelines from various source systems.
  • Apply business rules and transformations using SQL or Python.
  • Secure data models applying object and row level security.
  • Develop and document best practices and ensure they are effectively implemented across the team.
  • Analyze and address issues related to data integrity, data design and both functional and technical aspects of the Cloud Data Warehouse.
  • Perform cost and performance-based optimization of data transfer processes.
  • Continuously monitor and improve the efficiency and performance of data pipelines.

What we look for

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Please contact [[recruiterName]] for further information via [[recruiterEmail]] or [[recruiterPhone]].

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