Job
- Level
- Junior
- Location
- Hamburg, Stuttgart, Karlsruhe, Munich, Cologne
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop data processing pipelines in batch and real-time using Azure Functions, Data Factory, and Databricks, focusing on ETL processes and data analysis.
Job Technologies
Your role in the team
- In an interdisciplinary project team, you will take on the role of implementing data processing pipelines in batch and real-time.
- As a Data Engineering expert, you are the point of contact for colleagues and clients in the project.
- With modern cloud-based technologies, you generate - AI-supported - innovative solutions around our products.
- Development of Azure Functions in .NET C# to implement data transformations in real-time.
- Creation and maintenance of Azure Data Factory pipelines for automating data transfers.
- Development of Azure Databricks Notebooks, particularly for implementing ETL processes with PySpark - initial programming skills and a good understanding of data processing are required.
- Working with SQL, including quality assurance, data analysis, and targeted performance optimizations on storage technologies such as Cosmos DB, Azure SQL DB, and Data Lake Storage.
- Optimization and fine-tuning of processes through detailed analyses, including Log Analytics.
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Our expectations of you
Qualifications
- Basic programming skills (preferably in C#, Python, and Pyspark).
- SQL skills for data analysis and quality assurance.
- Understanding of cloud architectures and data processing workflows.
- Interest in conceptual topics related to data modeling and ETL design.
- Willingness to develop skills in technologies such as Databricks and Data Factory.
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What we offer
- Modern setup - ergonomic workstations, up-to-date hardware and software, cloud technologies, and agile methodologies, among others with partners like Microsoft and Databricks.
- Internal and external training, transparent career paths (specialist, leadership, and project tracks), and genuine development prospects.
- Legendary team events (Ischgl, summer party, Christmas party & more).
- Subsidy for Wellpass and the Germany Ticket.
- Opportunity for a workation in European countries.
- Exciting projects with a diverse range of clients from fashion, e-commerce, telecommunications, and tourism - from medium-sized companies to DAX-listed corporations.
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Benefits
Food & Drink
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About 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
Junior Cloud Data Engineer
- Location
- Hamburg, Stuttgart, Karlsruhe, Munich, Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
