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 lead a project team, implement AI-driven data engineering methods in the Azure Cloud, and optimize marketing campaigns through innovative data management solutions.
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 assist our clients in planning and optimizing personalized and automated marketing campaigns — using modern technologies for real-time segmentation and automated recommendations.
- You are involved in all project phases - from requirements analysis through implementation to go-live - supported by various external AI tools as well as our internal DYMATRIX AI Platform.
- You implement cutting-edge 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.
This text has been machine translated. Show original
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 an impact 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 DB, 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 some initial experience with AI-powered personalization, Predictive Marketing, or Customer Intelligence - not a must, but a strong plus.
This text has been machine translated. Show original
What we offer
- Upon signing the contract, you will receive a signing fee of up to 10,000 euros.
- Because we know: Changing jobs is a big decision - and we appreciate it when you choose DYMATRIX.
This text has been machine translated. Show original
Benefits
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
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
