Senior Data Engineer Global Business Solutions
Senior Data Engineer Global Business Solutions
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Job Description
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 squadspecific 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
Qualifications :
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 problemsolving and decisionmaking 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
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
