Cloud Data Engineer (d/m/f)

ams OSRAM • English: C1 • Sensors & Transducers • LED Lighting & Luminaires • Bachelor's Degree • Python • SQL • Power BI • ETL/ELT • Apache NiFi • Azure Data Factory • Data Vault • 8 hours ago
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Salary
≈ $36k – $93k per year (Estimated)
Location
In office (Carnaxide)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 12, 2026.

Overview
Company
Impact
Profile match

ams OSRAM

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.
ams-osram.com • HQ: Premstätten, Austria • LED Lighting & Luminaires • Sensors & Transducers • Optics & Photonic Components • 1001-5000 employees • Est. 1981
Tech stack of ams OSRAM
  • 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
  • Communicate effectively about issues, solutions, and best practices with relevant stakeholders
  • Perform cost and performance-based optimization of data transfer processes
  • Continuously monitor and improve the efficiency and performance of data pipelines

Who we are looking for

  • Bachelor’s degree and above in Computer Science, Software Engineering or similar
  • Minimum 5 years of related working experience with cloud data warehouse technologies, preferably Snowflake and/or Databricks
  • Hands-on experience in data warehouse modelling preferably with data vault 2.0 and/or star schema
  • In-depth understanding of relational databases (SQL) and ETL (Extract, transform, load) frameworks
  • Experienced in data staging with SQL and Python, data visualization with tools such as PowerBI, data integration using Apache NiFi, Theobald Universal Xtract, and Azure Data Factory, as well as orchestrating data pipelines with dbt and Apache Airflow
  • Problem-solving attitude and excellent communication skills
  • Excellent organizational skills with the ability to communicate project goals and objectives, project status and deliverables
  • Fluent in English for communicating with global teams and stakeholders

Please contact Daria Berezova for further information via [email protected] or +49 (941) 8501571.

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