Data Platform Lead: AI-Driven Data Engineering (Hybrid UK)

RCS Global Group; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Benefits offered by this job

Company pension

Healthcare

Travel and life insurance

25 days annual leave

Hybrid working

Family-friendly policies

Job summary

SLR is seeking a senior data platform leader to design, build, and operate enterprise-scale data platforms. You will guide data engineering teams, enforce governance and security, and drive platform transformation across cloud-based analytics environments.

You will collaborate with business and technical stakeholders to balance strategic roadmaps with hands-on delivery, ensuring robust data products and scalable pipelines to enable advanced analytics and AI use cases.

Qualifications

• Significant experience leading the design, development, and operation of enterprise-scale data engineering platforms and teams.

Responsibilities

• Own the design and evolution of the enterprise data platform to support current reporting and future analytics, AI, and digital capabilities.
• Partner with architects to align data engineering with technology strategy and architecture standards.
• Drive adoption of modern data architecture, data product thinking, and reusable engineering services.
• Mentor data engineers through coaching, knowledge sharing, and career development.
• Evaluate and recommend tools and approaches to improve efficiency, reliability, and scalability.
• Oversee data pipelines, transformation frameworks, and curated analytical datasets.
• Ensure data quality, monitoring, governance, controls, and compliance.
• Lead scalable data integration across APIs, events, batch, and file-based patterns.
• Establish CI/CD, automated testing, version control, IaC, and technical docs.

Skills

Data leadership

SQL

Python

PySpark

Data governance

CI/CD

Stakeholder comms

Data quality

Cloud platforms

Security controls

Tools

Fabric

Snowflake

ERP

CRM

Job description

SLR is seeking a senior data platform leader to design, build, and operate enterprise-scale data platforms. You will guide data engineering teams, enforce governance and security, and drive platform transformation across cloud-based analytics environments.

You will collaborate with business and technical stakeholders to balance strategic roadmaps with hands-on delivery, ensuring robust data products and scalable pipelines to enable advanced analytics and AI use cases.