Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Stuttgart, Karlsruhe, Munich, Cologne
- Working Model
- Onsite
Job Summary
In this role, you drive the development of AI-powered Data Engineering solutions, advise clients on Azure Cloud, and create technical architectures for personalized marketing campaigns.
Job Technologies
Your role in the team
- You take on the technical leadership of the project team and actively promote the use of AI-supported Data Engineering methods.
- You advise our clients methodically and technically on innovative data management and integration solutions around the Azure Cloud.
- You design the technical architecture for our clients, enabling them to plan and optimize personalized and automated marketing campaigns using modern real-time segmentation and automated recommendations.
- You work in all project phases - from requirements analysis through implementation to go-live - supported by our internal DYMATRIX AI Platform and various external AI tools.
- You implement forward-looking Data Engineering technologies around the Azure Cloud and ensure standardized implementation across projects.
- You don't stand still: You actively monitor the development of AI trends in Data Engineering (e.g., agent-based pipeline development, LLM integration into data platforms) and bring new impulses to the team and customer projects.
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Our expectations of you
Qualifications
- You have a passion for data, Azure, and AI - We love Data, we love Azure, we love AI - you should too.
- You want to make a difference and see AI not as a buzzword, but as a concrete tool that makes data projects faster and smarter.
- Good knowledge of Azure Data Services such as Data Factory, SQL Database, Data Lake Storage, Databricks, Functions, as well as an interest in Microsoft Foundry.
- Strong interest in the development of DWH / Data Lake and BI Cloud Architecture.
- Very good German, good English, and a decent amount of organizational talent complete your profile.
Experience
- Several years of professional experience in designing and implementing innovative data engineering solutions, preferably in a consulting environment.
- Ideally, you have already gained some experience with AI-powered personalization, Predictive Marketing, or Customer Intelligence - not a must, but a strong plus.
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What we offer
- Upon signing the contract, you will receive a signing fee of up to €10,000. Because we know: a job change is a major decision - and we appreciate it when you choose DYMATRIX.
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Benefits
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Topics that you deal with on the job
Job Locations
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Dymatrix
DYMATRIX ist einer der führenden deutschen Software- und Lösungsanbieter für kundenzentriertes und intelligentes Marketing. Wir sind Spezialisten im Bereich Big Data, Marketing Automation und Customer Analytics sowie Kampagnenmanagement und Business Intelligence.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Internet, IT, Telecommunication
Senior AI Data Engineer
- Location
- Hamburg, Stuttgart, Karlsruhe, Munich, Cologne
- Working Model
- Onsite
- Diversity
- Open for all genders
