Senior Data Engineer

Are you excited by the power of data to transform businesses? One of Asendia’s partners is hiring a (Senior) Data Engineer to design and scale cloud-native platforms that deliver real business impact using Azure, Databricks, and Spark.

In this role, you’ll architect and optimize robust data pipelines, build high-performance models, and collaborate across tech and business teams to bring data to life. You’ll work hands-on with modern tools—from Azure Synapse to Delta Lake—and help shape the future of intelligent data solutions.

💡 What You’ll Do

• Build & scale cloud-based data platforms using Azure, Databricks, Spark, Kafka
• Design & implement ETL pipelines and real-time streaming solutions
• Develop high-performance data models (Star Schema, Snowflake, Data Vault)
• Automate deployments through CI/CD workflows
• Collaborate with Data Scientists, Analysts & Business Stakeholders
• Ensure best practices in scalability, maintainability, and performance

🧠 What You Bring

• 3–5+ years of experience as a Data Engineer or similar role
• Strong expertise with Microsoft Azure, Databricks, Apache Spark, and Kafka
• Deep understanding of cloud data architecture and data modeling
• Solid experience with Azure Synapse, Data Lake, Azure Data Factory
• Strong business acumen—able to create technical solutions that drive business value
• Excellent communication skills in English (C1); German is a strong plus

🛠️ Tech Stack You’ll Work With

• Azure Synapse Analytics, Microsoft Fabric
• Azure Cosmos DB, Databricks, Apache Spark
• Delta Lake, Kafka, OpenAI, Python, SQL

🌍 Why Join Us?

• Work with cutting-edge cloud & AI tools on high-impact projects
• Join a driven, fast-growing team with a hands-on, data-first culture
• Access regular training, certifications & growth opportunities
• Contribute to scalable solutions used by industry leaders