Data Engineer Lead - Hybrid - Banking

Data Engineer Lead - Tier 1 Bank - London - 6 months Role

Data Engineer Lead

700 per day (Inside IR35)

6 months with very likely extension

Hybrid / Liverpool Street - 3 days per week in an office in Liverpool Street (London)

• The Data Engineer Lead is responsible for designing, building, and supporting modern data platform, with a particular focus on Databricks, cloud-based data engineering, and leading the migration of legacy Oracle systems into scalable, cloud-native environments.
• The role supports the organisation's data strategy especially on Finance and Regulatory domain by ensuring high-quality, reliable pipelines and data models that enable analytics, regulatory reporting, and data-driven decision-making.
• The post holder plays a key leadership role within the Data Engineering function, shaping architectural direction, ensuring engineering excellence, and partnering with Technology, Architecture, and Business teams across the organisation.

• SQL
• Oracle
• Python
• ETL

• The bank is migrating from an on-premise Oracle estate to a modern data platform built on cloud and Databricks. This role leads the design, implementation, and optimisation the Data Mart and migration processes, ensuring alignment with enterprise data architecture and compliance standards.

• Lead the design and development of Data Marts using Databricks (SQL / Python).
• Follow engineering best practices including version control, CI/CD, orchestration, and environment management.
• Ensure governance, performance optimisation.

• Lead and coordinate the migration of data assets from Oracle database systems to the modern cloud data platform.
• Oversee source-to-target mapping, data model redesign, and automated migration frameworks.
• Define strategy for retiring legacy ETLs and implementing equivalent or improved cloud-native solutions.
• Collaborate tightly with Oracle DBAs, business SMEs, and architects to ensure data integrity and continuity.

• Provide technical leadership, mentoring, and coaching to data engineers.
• Engage with cross-functional teams (Architecture, Dev Ops, Analytics, Risk, Finance).
• Translate complex technical decisions into clear business impacts for senior stakeholders.
• Support and review development outputs, ensuring high quality and alignment with standards.

• Comply with change management processes for production deployments and environment updates.
• Ensure documentation and configuration records meet audit requirements.

GCS is acting as an Employment Business in relation to this vacancy.