Gentherm, állás, munka, autóipar, IT architect


Join our multinational team, where we care about You, your individual development and team collaboration.


As a dynamically growing company with unique products and the Global Leader in Comfort and Climate Seat Technology we are a continuously evolving by developing exceptional automotive comfort and wellness products.


Be part of our inspiring future!


We deliver our products to BMW, Audi, Maserati, Tesla and many others. Our Team doesn’t only boost product innovation, but also take your career to the next degree.






What You'll Do

- Define and implement best practices and standards as an subject matter expert of Gentherm’s Information and data analytics program,

- Serve as a subject matter expert of Gentherm’s Information and data analytics program, defining and implementing best practices, standards, and processes to ensure alignment with the design and development strategy and goals of the business,

- Involve in the design of the technical and information architecture for the data warehouse, proposing holistic innovative solutions from a working comprehension of the ‘as-is ‘functionality across the enterprise. This extends to all information structures (staging area, data lake, data pipelines, data marts, and operational data stores),

- Participate in development and maintenance of the database architecture and recommend solutions to business needs including creating structure where none exists for reporting/analytics database solutions using modern techniques and programming language,

- Develop and support various ETL/ELT processes and prepare OLAP cubes, troubleshoot ETL processes and resolve issues effectively,

- Responsible for architecting and delivering the modernization of DWH to Azure Data Lake, building and configuring data pipelines in Azure Data Factory, creating Databricks notebooks, etc.,

Identify and promote best practices and patterns for data modeling and provide oversight for all activities related to data cleansing, data quality and data consolidation using standard data modeling methodologies,

- Develop and deliver data solutions as well as expand their awareness of technology aspects of the enterprise,


What You'll Bring

- Bachelor’s degree in Information Systems, Information Technology, Computer Science or Finance/ Engineering (with at least 5 years of relevant experience) Microsoft Azure Certificate is an advantage,

- Current Hands-on experience is required with or conceptual understanding of SQL, SSIS, SSAS, SSRS, Azure Databricks, Azure Synapse Pipeline, CI/CD Flow (Visual Studio SSDT), Azure DevOps, Gits,

- Experience with the following technology is an advantage: ETL,  Power BI, ADLS, Microsoft Fabric, ADF, .Net App, PowerApps, GitHub, Modern Data Technologies on Microsoft/Open-Source technology stack,

- Minimum 5years of experience (preferably 10) in Data Warehouse and data solutions of large IT projects/programs, various technology and application integration projects, process imporvments and data solutaions implementations,

- At least 5 years experience in similar role in a large, complex organization (preferably in automotive industry – production field is an advantage),

- Fluent English,

- Proactivity, Flexibility, willingness to work in the afternoon hours (collaboration with US colleagues).


What We Offer

- We specifically pay attention and support your development,

- You can work with the latest technologies as part of our international team,

- Very flexible work schedule, home office per your request (up to 80%),

- Annual bonus, cafeteria, housing/travel allowance,

- Health screenings, sports support, discounted canteen,

- Exciting corporate events.


Positively impacting people’s lives around the world


senior IT architect, data management | automotive | IT | Gentherm | #OneGentherm | #GenthermHungary




Gentherm Hungary Kft.

2084 Pilisszentiván, Hungary, Bányatelep 14.

You can register and apply directly on our career site: + "Apply now"









Job Req ID:  9165
Country/Region:  HU
Published:  Feb 23, 2024

Job Segment: Developer, Computer Science, Data Warehouse, Data Architect, Database, Technology, Data