Description
We are looking for a Data Engineer (Snowflake) for one of our clients within Banking & Finance . Start date: [phone] End date: [phone] Location: Stockholm About the assignment: You will serve as the lead Snowflake architecture authority for a long-term, multi-year data platform program at a major bank. The platform sources, normalizes, and models data from numerous raw systems to deliver trusted datasets for critical business decisions, risk analysis, and regulatory reporting.
You will guide the team through a strategic migration from Snowpark (Scala) to DBT + Python while ensuring the production platform remains performant, secure, and cost-effective. Core
Responsibilities
• Act as the team's go-to authority on Snowflake architecture: warehouse strategy, multi-cluster scaling, clustering keys, micro-partition pruning, query profiling, and complex performance diagnostics • Define Snowflake project structure and standards for the migration: database/schema/warehouse layout, environment separation, naming conventions, and patterns that scale across ~300 transformation jobs • Own security and access architecture including RBAC role hierarchy, secure views, data masking policies, and data-sharing design • Partner with the migration team to review designs from a Snowflake-native perspective: materialization strategy, incremental load patterns, and warehouse usage per workload • Read and assess existing Snowpark/Scala transformation code to identify what migrates cleanly ver
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