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Data & Analytics

ETL / ELT Developer

Develop reliable data-integration workflows across source systems, warehouses and cloud data platforms with automated validation and recoverability.

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LocationLondon, UK

Working styleHybrid / client-aligned

Employment typeFull-time

Experience3–6 years

Technology environment

SQLSSISAzure Data FactorydbtPythonAirflowDatabricks

Industry context

Banking & FinanceEducationMediaProfessional Services

Job description

The ETL / ELT Developer will implement ingestion and transformation workflows and support data-quality and production-monitoring requirements.

Key responsibilities

Build scheduled and incremental data pipelines.
Implement source-to-target transformations and validation rules.
Handle failures, retries, logging and operational alerts.
Optimise SQL and pipeline performance.
Support deployment and production troubleshooting.

Qualifications

3–6 years of ETL/ELT or data-integration development experience.
Strong SQL and hands-on experience with at least one orchestration or ETL platform.
Understanding of data quality, scheduling and production support.

Preferred qualifications

ADF, SSIS, dbt, Airflow or Databricks experience.
Python scripting capability.
Cloud data-platform exposure.

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

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

Next steps are communicated in the context of the published vacancy and applicable checks or approvals.

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