Lead Data Engineer
Hamburg, Germany
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Hamburg, Germany
TBC
The Role
Join our Data & Analytics team to design, build and support scalable data pipelines and databases on Azure and Databricks. You’ll work on global projects alongside data scientists, cloud engineers, reporting consultants and project leads.
Key Responsibilities
Build advanced data pipelines and processing solutions using Azure and Databricks.
Design relational and NoSQL database solutions.
Manage our Data Lakehouse for structured and unstructured data.
Maintain code and CI/CD workflows in Azure DevOps.
Align technical implementation with architecture standards.
Evaluate emerging technologies and their business value.
Provide technical mentoring to mid-level Data Engineers—without people-management responsibility.
Your Profile
Bachelor’s or Master’s degree in a relevant field.
Several years’ experience in cloud-native data engineering or software development.
Strong expertise in Azure Data Factory, Databricks, Synapse, ADLS Gen2 and Azure SQL.
Experience with Azure Functions, Cosmos DB and Event Hubs or Service Bus.
Advanced Python and PySpark skills, plus Scala, Java or Go.
Knowledge of observability, secrets management, data governance and CI/CD.
Experience with streaming technologies such as Kafka or Spark Structured Streaming.
AWS or GCP exposure is an advantage.
Ability to write clean, modular and high-performance code.