Middle–Senior Software / Data Engineer, AI Enablement & Data Platform Migration

Job summary

Client: Our client is a leading global corporate and investment bank, providing a wide range of financial services to large corporates, financial institutions, and institutional investors across international markets. Project overview: The project involves migrating production data pipelines from legacy environments into a modern, cloud‑native data platform.

Qualifications

• We are specifically seeking candidates with experience in platform migration initiatives, the ability to take ownership of an existing design, and the capability to deliver independently with minimal supervision.
• Senior candidates: 10+ years of professional experience in software engineering, data engineering, or data platform development
• Mid-level candidates: 4+ years of professional experience in software engineering, data engineering, or data platform development
• Strong experience building production-grade data pipelines
• Hands-on experience with Databricks, Snowflake, and Azure
• Experience working on platform migration or modernization initiatives
• Proven ability to work from an existing design and deliver independently with minimal supervision
• Solid experience with Snowflake, including data modeling and performance tuning
• Hands-on experience with Apache Airflow or similar orchestration

Responsibilities

• Design, develop, and enhance scalable ETL and ELT data pipelines
• Take ownership of existing platform designs and deliver migration work independently with minimal guidance
• Contribute to solution design and ensure high-quality implementation aligned with platform architecture
• Lead and execute the migration of data assets and workloads to a modern cloud-based platform built on Databricks
• Build and maintain orchestration workflows using Apache Airflow or similar

Industry

Company size