0Data Platform Engineer (m/f/d)
ORAYLIS GmbH | Germany | 40xxx Bundesweit, Düsseldorf, Dortmund, Köln, Frankfurt am Main, Hamburg, Stuttgart | Permanent position | Full time | Published since: 18.06.2026 on stepstone.de

Data Platform Engineer (m/f/d)

Branch: Computer science, informati... Branch: Computer science, information and communication technology


Monday morning. First Sparring with the team. On the screen: the architecture of a Data-&-AI platform, which is to run productively in a few months. It discusses requirements, discards approaches and develops a solution step by step that not only works technically but is actually used later. During the day, you change between customer appointments, architectural decisions and technical implementation. You develop platforms that remain scalable, cleanly integrate new requirements and deliver real added value. You work close to the customer, the team and the implementation. From the first idea to the productive operation, you create solutions that allow companies to actually use data-driven decisions. If you are blossoming in such situations, we should get to know each other. Join #TEAMORAYLISPEOPLE! !

Your tasks • Your profile • What we offer

As a Data Platform Engineer, you are responsible for building and developing modern cloud platforms for Data & AI. You work with technologies from the Microsoft Azure environment and create platforms that can be scalable, safe and sustainable. In detail, you will be with us... Cloud-based Data & AI platforms design, build and continuously develop develop and implement platform strategies together with our customers design scalable and robust platform architectures that serve as the basis for data-driven solutions deploying modern cloud infrastructures with Infrastructure as Code (e.g. Terraform, Bicep, ARM) automatically Make architectural decisions and establish best practices for sustainable platform solutions Define reusable platform blueprints and standards ensure that platforms are optimally set up in terms of performance, security, governance and scalability Support data and AI teams through stable and powerful platforms

You work structured, think in data architectures and implement solutions cleanly. Ideally you bring: sound experience in building modern cloud infrastructures and platform architectures very good knowledge in a cloud platform (ideally Microsoft Azure) Experience with Infrastructure as Code (e.g. Terraform, ARM, Bicep) a good understanding of scalable, secure and manageable system architectures Experience with technologies in the Data & AI environment (e.g. Databricks, Fabric, Data Factory) basic knowledge of software development (e.g. Python, Scala) as well as in the handling of APIs and automation a completed study of computer science, economic informatics or a comparable qualification the ability to quickly incorporate you into new technologies and use them in a targeted manner excellent knowledge of German and good knowledge of English

Exciting tasks await you in an innovative environment! What distinguishes us from others? Your colleagues – people who support you at any time during your work and always meet you at your height. You can find all this with us – and much more: Attractive compensation model Employee participation programme Hybrid working & flexible working hours Openly lived feedback culture Jobbike & Jobticket Work on latest technologies Unforgettable team events with event abroad Own training programme Promotion of sports activities Sabbatical as a break from everyday work Healthy snacks & fresh fruit Well-being office with lounge & open kitchen Head of Happiness who regularly swings the cooking spoon for us

Location

ava ORAYLIS GmbH
Bundesweit, Düsseldorf, Dortmund, Köln, Frankfurt am Main, Hamburg, Stuttgart
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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