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Data & Analytics

Senior Data Warehouse Engineer

Lead warehouse architecture, dimensional modelling and migration workstreams for enterprise reporting platforms with strong performance, governance and operational controls.

RC-DATA-26-HYB-603BD5

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LocationLondon, UK

Working styleHybrid

Employment typeFull Time

Experience7–10 years

Posted08 Sept 2026

Technology environment

SnowflakeMicrosoft FabricAzure SynapseDatabricksSQLdbtSSISData Vault

Industry context

Banking & FinanceAutomotiveEducationProfessional Services

Job description

The Senior Data Warehouse Engineer will own design quality across warehouse, lakehouse and semantic-layer workstreams and support migration from legacy analytical platforms.

Key responsibilities

Lead target data-model and warehouse architecture decisions.
Review ETL/ELT design, history management, reconciliation and performance.
Plan legacy warehouse migration and cutover with validation and rollback controls.
Mentor engineers and establish modelling and testing standards.
Coordinate with BI, governance and platform teams on release and support.

Qualifications

7–10 years of data-warehouse or analytics-platform engineering experience.
Advanced SQL, dimensional modelling and warehouse performance expertise.
Experience leading enterprise data migrations or modernisation programmes.

Preferred qualifications

Data Vault, Snowflake, Fabric, Synapse or Databricks experience.
Strong data-governance and lineage knowledge.
Experience in regulated environments.

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

Work is organised around defined delivery outcomes, documented responsibilities, peer review and clear escalation paths.
Hybrid or client-site attendance varies by engagement and is confirmed before assignment.

Location

London-based with UK client-site collaboration where required.

Working at RC

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Client-impact work

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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

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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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