Data Engineer - Retail Banking - SAS / SQL / GCP

About the Role

We are looking for an experienced Data Engineer to join the Data & AI team of a leading Retail Banking client, working on the Data Migrations & Data Usability project. This role is a fantastic opportunity to contribute to a high-profile initiative within a leading retail banking client.

Key Responsibilities

Data Engineering & Migration:

• Design, develop, and maintain scalable data solutions for generation, collection, and processing.
• Build data pipelines and ensure data quality for seamless ETL processes across systems.
• Lead migration of SAS data (Base SAS & SPDS) and SAS metadata objects (DI Jobs, SAS Flows) from On-Prem to GCP.
• Validate flow outputs through data, log, and performance comparisons.

Technical Expertise & Problem Solving:

• Troubleshoot SAS code, SAS DI, and SAS Flows issues effectively.
• Apply expertise in Data Warehousing, SQL, encoding mitigation (WLATIN to UTF8 in SAS), and Unix/Linux fundamentals.
• Work with GBs and TBs of data, ensuring efficient migration from On-Prem to GCP.

Leadership & Collaboration:

• Act as an SME, managing and guiding the team on key decisions.
• Engage with multiple teams to provide innovative solutions and drive success.

What We're Looking For

• Proven experience in SAS migration (Base SAS & SAS Macros).
• Strong SQL skills (Proc SQL within SAS & DI Jobs).
• Hands-on experience with GCP & cloud data solutions.
• Understanding of Unix/Linux environments.
• Excellent problem-solving and stakeholder engagement skills.

Location: London (Hybrid - 2 days a week)
Duration: 3 months initially