Contract Duration: Until the end of the year + extensions
Our client is urgently seeking a Data Engineer to implement a solution for data multi-tenancy and seeding of data from different source systems. This role requires proficiency in Microsoft Azure, particularly in Azure Databricks, and experience with making changes across multiple areas of the solution, including application code, data storage, and Azure platform.
Key Responsibilities:
* Perform analysis, design, and implementation work with Python, PySpark, SQL, and the Azure platform.
* Implement a solution for data multi-tenancy and data seeding within the data landscape running on Azure Databricks.
* Work in close collaboration with a team in Zurich and other team members across various locations, as part of a Finance Transformation project.
* Contribute to multiple solution areas (application code, data storage, Azure platform).
Essential Skills and Experience:
* At least 7 years of experience as a data/software engineer in financial services firms, with a proven track record of writing and operating code in production interacting with relational databases.
* Strong proficiency in Python, with the ability to be productive immediately.
* Advanced knowledge of databases, including data modelling and SQL (DML and DDL).
* In-depth understanding of Azure.
* High levels of proactivity, drive, and practicality.
* Excellent English communication skills, both written and verbal.
Desired Skills and Qualifications:
* Experience with Azure Databricks, PySpark, and Unity Catalog.
Interested?
If this role is of interest, please send an up-to-date CV to taylor.lewis@darwinrecruitment.com.
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