Data Engineering Lead

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

Salary: £60,000 - 100,000 per year

Requirements:

• Significant experience leading the design, development, and operation of enterprise-scale data engineering platforms and teams.
• Strong technical expertise in SQL and Python, PySpark, or equivalent technologies for data ingestion, transformation, and validation.
• Experience with Microsoft Fabric or similar modern cloud-based analytics and data platforms.
• Strong experience designing and governing analytical data models using recognised patterns such as Medallion Architecture, star schema, and snowflake schema.
• Experience leading technical teams, mentoring engineers, and establishing engineering standards and delivery practices.
• Experience developing and implementing data quality, monitoring, governance, security, and operational controls at scale.
• Strong understanding of software engineering principles, including CI/CD, testing, version control, and automation.
• Ability to communicate effectively with senior technical and non-technical stakeholders and influence decision-making.
• Experience balancing strategic planning with hands-on technical leadership and delivery.
• Experience with enterprise business systems such as ERP, HR, and CRM platforms.
• Experience defining data platform roadmaps and leading platform transformation initiatives.
• Experience supporting enterprise reporting and analytics environments with strong governance and regulatory requirements.
• Familiarity with business-critical domains such as finance, operations, commercial, or people data.
• Experience supporting data platforms intended to enable advanced analytics, machine learning, or AI use cases.
• Experience operating within a product-based or data-product delivery model.

Responsibilities:

• We own the design and evolution of the enterprise data platform, ensuring it supports current reporting requirements and future analytics, AI, and digital capabilities.
• We partner with enterprise and solution architects to align data engineering solutions with wider technology strategy and architecture standards.
• We drive adoption of modern data architecture approaches, including lakehouse and warehouse patterns, data product thinking, and reusable engineering services.
• We mentor and support data engineers through technical coaching, knowledge sharing, and career development activities.
• We evaluate and recommend new technologies, tooling, and approaches that improve efficiency, reliability, and scalability.
• We oversee the design, development, and operation of data pipelines, transformation frameworks, and curated analytical datasets.
• We ensure robust implementation of data quality, monitoring, observability, operational controls, and governance requirements.
• We lead the delivery of scalable data integration solutions across APIs, event-driven architectures, batch processing, and file-based integration patterns.
• We establish and govern engineering practices including CI/CD, automated testing, version control, infrastructure-as-code, and technical documentation.
• We drive platform performance, reliability, maintainability, and cost optimisation initiatives.
• We work closely with analytics, BI, and business stakeholders to understand priorities and translate them into scalable engineering solutions.
• We help shape the enterprise data roadmap and prioritise investments that maximise business value.
• We participate in strategic planning and provide input into data governance, operating models, and capability development.
• We champion data-driven decision-making and promote the adoption of trusted, well-governed data assets across the organisation.

Technologies:

• AI
• CI/CD
• Cloud
• CRM
• ERP
• Fabric
• Support
• Machine Learning
• Python
• PySpark
• SQL
• Security
• Snowflake

More:

We are SLR, global leaders in Sustainability Solutions, helping our clients achieve their sustainability goals. We are a consultancy with 4000+ employees across 6 regions in over 125 countries, and our one team culture provides a collaborative and supportive environment for professional development. We offer a competitive salary, a comprehensive benefits package including a company pension, excellent healthcare, travel and life insurance, and a structured career framework with regular reviews and strong progression opportunities. We also provide 25 days annual leave plus additional flexible bank holidays, alongside flexible, agile and hybrid working and family-friendly policies to support work-life balance. This full-time role is based in London, Leeds, Bristol, or Manchester, UK.

last updated 36 week of 2026