Senior Data Engineer

• Work closely with clients and other stakeholders to clarify the tech requirements and expectations
• Implement architectures based on Azure Cloud platforms (Data Factory, Databricks, etc.)
• Design, develop, optimize, and maintain squad-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles
• Discover, understand, and organize disparate data sources and structure them into clean data models with clear and understandable schemas
• Contribute to the evaluation of new tools for analytical data engineering
• Participate in evaluating and preparing proposals for new opportunities
• Suggest and contribute to training and improvement plans regarding analytical data engineering skills, standards, and processes

Requirements

• At least 5 years of experience in data engineering and with cloud computing services solutions in the area of data and analytics, Azure is preferred one.
• Conceptual knowledge of data analytic fundamentals, e.g., dimensional modeling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data
• Knowledge of SQL and experience with at least one programming language (Python)
• Excellent communication skills and business fluency in English
• Understanding Big Data DB like Snowflake, BigQuery, etc
• Experience in database development and data modeling, ideally with Databricks/Spark
• Experience in the pre sales activities
• Excellent interpersonal skills
• Strong problem-solving and decision-making abilities, with a focus on driving results and meeting deadlines
• Strong passion for learning/practicing new techniques.

Would be a plus:

• A subject matter expert in a specific domain: Logistics, Aviation, or Sustainability
• Experience with Infra as code (Terraform or similar)
• Good communication skills in German