• Develop, extend and optimize the data product layer of our Enterprise Datalake with high code standards, tests and suitable documentation to meet both user and internal needs.  

• Collaborate with the product owner and architect to understand data requirements and provide suitable solutions. 

• Troubleshoot data and software related issues and optimize pipelines for performance and scalability. 

• Work with Azure Databricks, Azure Data Factory/Synapse keeping up to date with the latest features and suggest their implementation if beneficial. 

• Demonstrate fluent communication skills in English (spoken and written)   

Education 

• Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields. 

Work experience 

• Minimum 4-5 years related working experience as a Dataengineer using Azure, Databricks, Python, Azure Data Factory or Synapse 

Technical & Professional Knowledge (mandatory) 

• Experience in Agile way of working with a DevOps mindset 

• In-depth know how with Lakehouse concepts, Databricks and Unity Catalog. 

• Strong data engineering and development skills to maintain and extend the data product layer of our datalake 

• Strong knowledge in automation & scripting with tools like Github actions, Azure DevOps pipelines, Azure Data Factory, etc. 

Technical & Professional Knowledge (additional plus/nice to have skills) 

• Experience with Azure Datafactory/Synapse data flows and pipelines, which are the basis of a legacy application for data products  

• Ideally, automating code generation and code management with the help of AI tools 

• PowerBI as one of the main tools of our users 

• Integration knowledge, how metadata can be exchanged with other applications via APIs e.g. with Colibra datacatalog or an inhouse solution for data product definition 

• Ideally, backed up by vendor certifications (e.g. Microsoft, Databricks). 

• Team player with strong interpersonal, written, and verbal communication skills