What about these tasks & duties:

• Support leadership in managing internal and external resources and overseeing larger implementation projects.
• Identifying required data sources based on business requirements, knowledge of business processes and systems used.
• Creating data ingestion pipelines from source systems (ERP or cloud SaaS solutions) into a central data warehouse (snowflake)
• Designing and implementing data transformation pipelines within the data warehouse to a target data model, consumable by BI reporting applications
• Defining a reusable and robust data model (star/snowflake schema)
• Further improving and extending a common data integration framework
• Debugging and optimization of existing pipelines
• Automating testing procedures to ensure proper data quality.

Bachelor's or master's degree in computer science, Engineering, Data Science, Data Engineering or similar field

4+ years hands-on experience around:

• Data Management (DWH and Data Lake architectures with snowflake, Azure Data Lake Store)
• Data Modeling (e.g. Inmon, Kimball, Data Vault etc.)
• ETL/ELT design (with tools such as dbt, Talend etc.)
• Data Ingestion & Processing (Azure Data Factory, Functions / Batch Ingestion, Stream Analytics, ¿)
• DevOps (Continuous Integration / Delivery, testing automation, Azure DevOps, Git(-hub)

Experience in the following fields will be considered as strong assets:

• Proven track record in partnering with the business to extract value from data.
• Working with data ingested from systems such as SAP (ECC or S4), Salesforce, Tagetik, ProAlpha
• Data Engineering (Python / pySpark, SQL)
• Security (Active Directory, Application Gateway, Key Vault, Virtual Networks, Network Security Groups)
• BI reporting tools, like QlikView/QlikSense, PowerBI

Big-picture thinker with positive attitude while maintaining an attention to detail.

Experienced in managing vendors/partners as well as projects from PoC to scalable solution.
Problem solving skills and capabilities to explain complex situations in an easy and understandable manner.

Project Management skills are a big plus.

Experience working with agile methodologies such as Scrum, SAFe etc.
Team player and motivational capabilities.

Fluent in English.