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Data & Analytics

Lead Data Engineer

Lead the architecture and engineering of enterprise data platforms, establishing technical standards, delivery patterns and production ownership across complex data programmes.

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LocationLondon, UK

Working styleHybrid / client-aligned

Employment typeFull-time

Experience9–12 years

Technology environment

PythonSQLSparkDatabricksMicrosoft FabricSnowflakeKafkaTerraformAzure/AWS

Industry context

Banking & FinanceAutomotiveMediaEducation

Job description

The Lead Data Engineer will own technical direction across data ingestion, transformation, storage, integration, governance and operational reliability.

The role combines hands-on architecture with engineering leadership, design review, stakeholder communication and delivery assurance across multiple workstreams.

Key responsibilities

Define data-platform architecture, engineering standards and reusable delivery patterns.
Lead design reviews covering scalability, security, lineage, observability, resilience and cost.
Guide engineers on implementation, code quality, testing and production support practices.
Coordinate with solution architects, security, application and analytics teams on cross-platform dependencies.
Own technical risk, migration sequencing and operational-readiness decisions for major data releases.

Qualifications

9–12 years of data-engineering or enterprise software-engineering experience, including technical leadership.
Deep SQL and strong Python/Spark capability with production-scale platform experience.
Experience architecting modern cloud data platforms and distributed data-processing solutions.
Strong knowledge of data modelling, governance, security, lineage and operational support.
Ability to lead technical decisions with senior engineering and business stakeholders.

Preferred qualifications

Experience with Databricks, Microsoft Fabric, Snowflake, Kafka or equivalent enterprise platforms.
Experience in regulated or high-volume environments.
Cloud architecture or data-platform certification where relevant.

Benefits & employment terms

Compensation, leave, pension and any role-specific benefits are confirmed during the recruitment process and stated in the written offer.
Any client-site, travel, security-screening or right-to-work requirements are confirmed before appointment.

Nature of working style

This is a senior client-facing engineering role with responsibility for architecture quality and team technical direction.
The role combines design leadership with hands-on review and delivery governance.

Location

London-based with UK client-site workshops and architecture sessions where required.

Working at RC

Delivery standards shape the employee experience

Technology roles are organised around accountable delivery, professional engineering practices and clear client or project outcomes.

Client-impact work

Roles are connected to defined business or delivery outcomes rather than artificial internal assignments.

Professional craft

Engineering, consulting and delivery decisions are expected to be explainable, maintainable and grounded in the operating context.

Clear ownership

Responsibilities, interfaces, quality expectations and escalation paths should be visible across teams and engagements.

Continuous learning

Capability grows through real delivery, peer review, feedback and exposure to changing technologies and business environments.

Hiring journey

A structured process from application to decision

The exact interview sequence may vary by role, but candidates should understand the purpose of each stage and the position they are being assessed for.

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Decision

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