Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Stuttgart, Dusseldorf, Cologne, Frankfurt, Dortmund
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will build scalable cloud platforms for Data & AI, design architecture strategies, automate infrastructure with Infrastructure as Code, and support data-driven teams with stable solutions.
Job Technologies
Your role in the team
- 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 are scalable, secure, and sustainable to operate.
- Design, build, and continuously develop cloud-based Data & AI platforms.
- Developing platform strategies together with our clients and implementing them technically.
- Design scalable and robust platform architectures that serve as a foundation for data-driven solutions.
- Automate the provisioning of modern cloud infrastructures with Infrastructure as Code (e.g., Terraform, Bicep, ARM).
- Make architectural decisions and establish best practices for sustainable platform solutions.
- Define reusable platform blueprints and standards.
- Ensure that platforms are optimally configured in terms of performance, security, governance, and scalability.
- Support data and AI teams through stable and high-performance platforms.
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Our expectations of you
Education
- A completed degree in Computer Science, Business Informatics, or a comparable qualification.
Qualifications
- You work in a structured manner, think in data architectures, and implement solutions cleanly.
- Very good knowledge of a cloud platform (preferably Microsoft Azure).
- A good understanding of scalable, secure, and maintainable system architectures.
- Basic knowledge in software development (e.g., Python, Scala) as well as experience with APIs and automation.
- The ability to quickly familiarize yourself with new technologies and apply them effectively.
- Very good German skills as well as good English skills.
Experience
- Extensive experience in building modern cloud infrastructures and platform architectures.
- Experience with Infrastructure as Code (e.g., Terraform, ARM, Bicep).
- Experience with technologies in the Data & AI environment (e.g., Databricks, Fabric, Data Factory).
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What we offer
- Exciting tasks await you in an innovative environment! What sets us apart from others? Your colleagues – people who support you at all times in your work and always treat you as an equal.
- Attractive compensation package.
- Hybrid working & flexible working hours.
- Open feedback culture.
- Company bike & Job ticket.
- Working with the latest technologies.
- Unforgettable team events with international events.
- In-house training program.
- Subsidy for sports activities.
- Sabbatical as a break from everyday work.
- Healthy snacks & fresh fruit.
- Comfortable office with lounge & open kitchen.
- Head of Happiness, who regularly whips up the cooking spoon for us.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
ORAYLIS
ORAYLIS is an established company specializing in the development and implementation of data solutions. It supports clients in their transformation to a data-driven company through tailored strategies and technologies like Microsoft Azure and SAP.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Platform Engineer
- Location
- Hamburg, Stuttgart, Dusseldorf, Cologne, Frankfurt, Dortmund
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
