Location: Zurich, Switzerland (On-site 4 days/week)

Contract Duration: Until the end of the year, with potential for extension

We are seeking an experienced software engineer to help implement a solution for data multi-tenancy and data seeding from various source systems in an Azure Databricks environment. This role will require deep knowledge of Python, PySpark, SQL, and Azure, working collaboratively with a small, international team within the Finance Data & Analytics division of an international financial services firm.

WHAT YOU'LL DO

• Analysis & Design: Understand and define technical requirements to support the implementation of multi-tenancy and data seeding solutions.
• Implementation: Work hands-on with Python, PySpark, SQL, and Azure to build and optimize the solution.
• Collaboration: Work closely with Zurich-based team members and support a larger, distributed team.
• Azure DevOps: Track progress, issues, and tasks using Azure DevOps.

WHO YOU ARE

• Experience: At least 7 years as a software engineer in financial services, with a focus on code writing, testing, performance optimization, and interacting with relational databases.
• Core Technologies: Python, PySpark, SQL (DML/DDL), and strong Azure platform knowledge.
• Proactivity & Problem-Solving: Ability to make iterative progress, work on multiple components of the solution, and contribute across the full technology stack.
• Database Expertise: Advanced database knowledge, including data modeling and SQL.
• Communication Skills: Fluent in English, with strong written and verbal communication abilities.
• Desired Skills: Experience with Azure Databricks, PySpark, and Unity Catalog.

ADDITIONAL NOTES

• Code Exercise: Candidates will be required to complete a code exercise as part of the selection process.
• Interview Process: Following the code exercise, interviews will focus on discussing the solution, technical approach.

REF - SR88905