Description

In this role, you will design and maintain data pipelines while ensuring data integrity and governance. You will collaborate with clients to create Azure-native solutions and optimize data infrastructure for business intelligence and AI applications.

Requirements

• •3+ years of real-world project experience as a Data Engineer in Azure ecosystems
• •Fluency in German and English
• •Advanced SQL and performance tuning
• •Strong background in dimensional data modeling and familiarity with ETL patterns
• •Hands-on experience with Azure Data Factory, Synapse, Databricks, and ideally Microsoft Fabric
• •Proficiency in Microsoft Power BI
• •Exposure to Data Mesh or domain-oriented data architectures
• •Experience with Delta Lake, Unity Catalog, or Feature Store
• •Strong communication and documentation skills
• •Agile, delivery-oriented mindset
• •Collaborative and self-directed approach
• •Analytical thinking with a focus on value delivery
• •Ability to translate business requirements into technical solutions
• •Experience working in agile, cross-functional teams

Tasks

• •Design and build scalable data pipelines using Azure Data Services
• •Maintain data pipelines with Databricks and Microsoft Fabric
• •Consolidate structured and unstructured data into governed lakes and warehouses
• •Implement robust data models and storage architectures like Star and Snowflake
• •Ensure data integrity, quality, lineage, security, and governance
• •Automate workflows using Azure DevOps and GitHub Actions
• •Collaborate in client workshops to translate requirements into Azure-native solutions
• •Optimize performance and cost efficiency of data infrastructure
• •Modernize legacy ETL workflows with Azure-native services
• •Build semantic models for enterprise BI using Star and Snowflake schema
• •Design medallion-structured ingestion flows for analytics
• •Deliver curated and governed data products for BI and AI use cases

Tools & Technologies

Benefits