Technical Lead, IT​/Tech, Data Engineering

Technical Lead – Enterprise Data Platforms (Perm role) Role Overview

We are seeking a Technical Lead to join our Data, Analytics & AI team within a professional services environment. The successful candidate will provide technical leadership across the firm’s enterprise data landscape, ensuring that core integrations, pipelines, and platform services are reliable, efficient, visible, and consistently delivered to agreed data engineering standards.

Operating across the firm’s enterprise data platforms, the role sits at the intersection of data architecture, platform engineering, service management, and delivery governance. The Technical Lead will act as the bridge between published data architecture and day‑to‑day standards, reusable engineering patterns, and clearly defined work packages for the data engineering team.

The role requires close collaboration with data architects, security, service management, internal stakeholders and delivery teams to ensure our enterprise data team provides stable, supportable, scalable solutions that align to business priorities.

• Provide technical leadership for the firm’s enterprise data platforms, integrations, pipelines and related platform services.
• Review technical designs and engineering outputs to ensure they align with agreed architecture, platform principles and operational standards.
• Own the data engineering standards covering design, development, testing, deployment, monitoring, and documentation.
• Define reusable implementation patterns and technical work packages.
• Remove engineering duplication, technical debt, and inconsistent approaches.
• Provide hands‑on technical input or delivery where critical, complex or high‑risk.
• Own the technical design of enterprise data integrations across core systems, operational platforms and downstream data services.
• Define integration patterns for batch, scheduled, event‑driven, API‑based and file‑based data movement where appropriate.
• Ensure pipelines are optimised for reliability, performance, security, observability and operational recovery.
• Support the development of reusable pipeline patterns that can be applied consistently across enterprise data workloads.
• Drive improvements in pipeline efficiency, maintainability and transparency.

• Own CI/CD standards for enterprise data engineering assets, including pipelines, scripts, notebooks, configuration and deployment artefacts.
• Ensure data engineering changes are assessed for risk, impact, security, access control, auditability and operational readiness before release.
• Promote appropriate monitoring, logging, lineage, documentation and support hand‑over for enterprise data pipelines and platform services.
• Work with architecture, security, and service teams to ensure data engineering standards reflect firmwide governance, compliance and quality requirements.

• Provide technical leadership for change, incident and problem management relating to enterprise data platforms, integrations and pipelines.
• Support incident resolution and root cause analysis for material or recurring data engineering issues, ensuring corrective actions are captured and implemented.
• Translate operational issues into preventative improvements, including stronger standards, reusable patterns, monitoring enhancements or platform changes.

• Identify opportunities to improve enterprise data platform reliability, performance, observability, automation, cost efficiency, and developer experience.
• Assess new or enhanced tools and platform capabilities in partnership with architects and other technical leaders.
• Ensure platform and tooling changes are introduced in a controlled, supportable and well‑documented way.

• Work closely with data architects, technical teams, business partners, and internal stakeholders to align technical delivery with business priorities.
• Provide regular, consistent updates on project progress and own the timely and clear communication of blockers, delays or operational issues.
• Provide…