Data Warehouse Architect at thyssenkrupp Components Technology Hungary Kft
Budapest, Közép-Magyarország, Hungary -
Full Time


Start Date

Immediate

Expiry Date

13 Jun, 25

Salary

0.0

Posted On

14 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Company
Thyssenkrupp is an international industrial and technology company employing around 100,000 people. Across 48 countries it generated sales of 38 billion in fiscal 2022/2023. Backed by extensive technological know-how, the businesses develop cost-effective and resource-friendly solutions to the challenges of the future, mainly in the fields of climate protection, the energy transition, digital transformation in the industry and mobility of the future. Under the thyssenkrupp umbrella brand the company creates long-term value with innovative products, technologies and services and contributes to a better life for future generations.
In the Hungarian development center with our engineering team of 1000 we are present as an innovative and significant partner in one of the fastest growing and most exciting segment of the automotive industry, in the field of electromechanical steering systems. With outstanding quality and high-tech developments we meet the needs of renowned car manufacturers and our developments can be found in 25 % of the manufactured cars all over the world. Our engineers work on new challenges that can change the future of automotive.

Responsibilities
  • You are part of the Management Systems (MSY) team and drive the digitalization of the Automotive Technology segment within the IT and Digital Solutions (IDS) function
  • You support the setup and operation of our AT Data Warehouse in the Azure environment
  • You coordinate and analyze the data requirements of the Automotive Technology HQ and work with stakeholders to define and implement data strategies
  • You design and oversee the implementation of data architectures, data models, and databases
  • You provide recommendations to improve data reliability, efficiency, and quality
  • You develop and implement data standards and quality rules
  • You manage data cleansing, deduplication, and harmonization
  • You document all changes and decisions regarding the data architecture
  • You develop technical concepts and create functional and sustainable solutions for reporting and analytics evaluations
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