ML & Analytics Engineer

Quick Facts

• Role: ML & Analytics Engineer (consultant)

Description

Support the modernization of the bank’s data products on a new data platform to enable modern solutions for efficient governance, operations, and AI. You will help migrate on-prem processes to the cloud (especially Databricks) and develop functions and processes that ensure smooth collaboration between Databricks and analytics tools (e.g., Excel).

Responsibilities

• Migrate on-prem processes to the cloud, especially Databricks

• Implement API and other data exchange mechanisms

• Perform data modeling

• Automate workflows

• Develop agile functions and processes for interoperability between Databricks and analytics tools (for example Excel)

• Contribute to need-driven project work related to AI development and usage

Requirements

• Experience with databases and SQL

• Experience with Python or another relevant programming language

• Experience with Databricks

• Experience with DevOps/GitHub

• Education (preferably a master’s) in computer science or a related field

Benefits

Assignment duration runs from soon after award until 30.06.2029, with a “You build it, you run it” approach while legacy and new platforms operate in parallel during the transition.