Full-Time Senior Data Engineer

Work closely with clients and stakeholders to clarify technical 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 adhering to defined ETL and Data Lake principles.

Discover, understand, and organize disparate data sources. 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.

At least 5 years of experience in data engineering and cloud computing services solutions in data and analytics, Azure preferred.

Conceptual knowledge of data analytic fundamentals: dimensional modeling, ETL, reporting tools, data governance, data warehousing, 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 of Big Data DBs like Snowflake, BigQuery, etc.

Experience in database development and data modeling, ideally with Databricks/Spark.

Experience in pre-sales activities.

Excellent interpersonal skills.

Strong problem-solving and decision-making abilities, focused on driving results and meeting deadlines.

Strong passion for learning and practicing new techniques.

Would be a plus: Subject matter expert in a specific domain (Logistics, Aviation, or Sustainability).

Experience with Infrastructure as code (Terraform or similar).

Good communication skills in German.

What is the last date for applying to the job?

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