Data warehousing architects Work, Jobs in London, Gtl (with Salaries)

Data Engineering Lead
SLR Consulting —London
- Full-time
- Hybrid work
- Mentoring
- Leadership
- Annual leave
- Life insurance
Head of Data
AEG Presents —London
- Databases
- Team management
- In-person
- Flexible schedule
Lead Databricks Engineer | Databricks Gold partner
Kubrick Group —London
- Hybrid work
- Mentoring
- AI
- Leadership
- Annual leave
- Employee assistance programme
Senior data analyst - 6 month FTC
Cluttons —London
- Hybrid work
- Azure
- Employee assistance programme
- Employee discount
Quick apply
Analytics Engineering Lead
Kaluza —London
- £90,000 - £114,000 a year
- Full-time
- Communication skills
- Employee discount
Quick apply
Principal Consultant - Lead Data Analyst / Data Modeller
Transform Together —London
- £90,000 a year
- Hybrid work
- Agile
- Financial services
Lead BI Analyst
BMJ —London
- £56,626 - £60,000 a year
- Hybrid work
- No degree
- Analytics
- Employee discount
Quick apply
7d
Junior Data Architect - Microsoft Fabric
Fincons Group —London
- Full-time
- Hybrid work
- AI
- Communication skills
Quick apply
Data Modeller - Assistant Vice President
Sumitomo Mitsui Banking Corporation —London
- Hybrid work
- Banking
- Annual leave
3d
Lead Data Platform Engineer
Carnall Farrar —London
- Full-time
- Hybrid work
- Bachelor's degree
- Mentoring
- Leadership
- Health & wellbeing programme
- Annual leave
Quick apply
11d
Informatica Subject Matter Exptert
Atos —London
- Hybrid work
- Annual leave
3d
IT Data Platform Engineering Manager
Subsea 7 —London
- Full-time
- Remote
- Azure
- Budgeting
- AI
5d
Enterprise Data Manager
Wealthtime —London
- Full-time
- Hybrid work
- Analytics
Senior Data Engineering Manager
Unum Group —Dorking
- Full-time
- Azure
- In-person
- Leadership
Senior Technical Lead - Data Platforms
University College London —London
- £68,284 - £76,244 a year
- Full-time
- Communication skills
- Annual leave
- Employee assistance programme
3d
Azure Data Architect (with Specialty or Commercial Insurance)
Capgemini —London
- Hybrid work
- Azure
- Communication skills
Snowflake Data Modeller
Luxoft —London
- PMP
- English
- Agile
5d
Lead Data Consultant
Hitachi Solutions —London
- Full-time
- Hybrid work
- Machine learning
- Mentoring
- AI
Quick apply
Data Modeller - Vice President
Sumitomo Mitsui Banking Corporation —London
- Hybrid work
- Banking
- Annual leave
3d
Data Architect
Capital Resourcing Group —London
- £90,000 - £110,000 a year
- Full-time
- Communication skills
- Banking
Quick apply
6d

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Data Engineering Lead

SLR Consulting -
London

Apply Now

Job details

Full-time

Benefits

Annual leave
Company pension
Life insurance

Qualifications

Data development experience
Data integration
Stakeholder collaboration
Stakeholder liaison
Mentoring junior staff
Data architecture experience
ERP software
Data and database experience
ETL data integration
CI/CD pipelines
Continuous integration
Mentoring
Data warehousing
Technology leadership experience
Professional development mentoring
IT strategy alignment
Technical roadmaps
Leadership
Data warehouse
Infrastructure provisioning automation

Full job description

Job Summary

We're looking for a Data Engineering Lead to provide technical and operational leadership for our data engineering capability, ensuring the platforms, pipelines, and data assets that underpin enterprise reporting and analytics are scalable, trusted, and aligned with long-term business needs.

This role combines hands-on technical leadership with strategic ownership of the data engineering function. You will lead the design and evolution of the data engineering ecosystem, enforce engineering standards and best practices, and guide the delivery of high-quality data solutions across the organisation.

You’ll work closely with analytics, BI, platform, and business stakeholders to ensure that data is managed as a strategic asset, and that the data platform continues to evolve in support of growing reporting, analytics, digital, and AI-driven use cases.

Key Responsibilities

Data Engineering Leadership

Own the design and evolution of the enterprise data platform, ensuring it supports current reporting requirements and future analytics, AI, and digital capabilities.

Partner with enterprise and solution architects to align data engineering solutions with wider technology strategy and architecture standards.

Drive adoption of modern data architecture approaches, including lakehouse and warehouse patterns, data product thinking, and reusable engineering services.

Mentor and support data engineers through technical coaching, knowledge sharing, and career development activities.

Evaluate and recommend new technologies , tooling, and approaches that improve efficiency, reliability, and scalability.

Delivery & Engineering Excellence

Oversee the design, development, and operation of data pipelines, transformation frameworks, and curated analytical datasets.

Ensure robust implementation of data quality, monitoring, observability, operational controls, and governance requirements.

Lead the delivery of scalable data integration solutions across APIs, event-driven architectures, batch processing, and file-based integration patterns.

Establish and govern engineering practices including CI/CD, automated testing, version control, infrastructure-as-code, and technical documentation.

Drive platform performance, reliability, maintainability, and cost optimisation initiatives.

Stakeholder Engagement & Data Strategy

Work closely with analytics, BI, and business stakeholders to understand priorities and translate them into scalable engineering solutions.

Help shape the enterprise data roadmap and prioritise investments that maximise business value.

Participate in strategic planning and provide input into data governance, operating models, and capability development.

Champion data-driven decision-making and promote the adoption of trusted, well-governed data assets across the organisation.

What We're Looking For

Essential Experience / Skills

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.

Desirable Experience / Skills

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.

Why Join / Opportunity

Lead the evolution of a strategically important enterprise data platform.

Shape the future direction of data engineering within a growing analytics & AI capability.

Influence architecture, technology choices, engineering standards, and delivery practices across the organisation.

D evelop a high-performing data engineering function with clear ownership and impact.

Work with senior stakeholders to drive meaningful business outcomes through trusted and scalable data solutions.

Help establish the foundations required to support future analytics, AI, and wider digital transformation initiatives.

Create a lasting engineering capability that enables the organisation to make better decisions through data.

About us

SLR are 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. Our ‘one team’ culture is at the heart of our business, providing a collaborative and supportive environment for professional development.

Along with competitive salaries, our staff enjoy a comprehensive benefits package with a company pension plus excellent healthcare offering, travel and life insurance and a structured career framework with regular reviews offering outstanding opportunities for progression. Alongside 25 day’s annual leave, with additional flexible bank holidays, we offer flexible, agile and hybrid working which enables staff to tailor hours worked around core hours, with family friendly policies help balance the needs of professional and home life.

Apply Now

Refine Your Search

data warehousing architects jobs in london, gtl

Data Engineering Lead

Head of Data

Lead Databricks Engineer | Databricks Gold partner

Senior data analyst - 6 month FTC

Analytics Engineering Lead

Principal Consultant - Lead Data Analyst / Data Modeller

Lead BI Analyst

Junior Data Architect - Microsoft Fabric

Data Modeller - Assistant Vice President

Lead Data Platform Engineer

Informatica Subject Matter Exptert

IT Data Platform Engineering Manager

Enterprise Data Manager

Senior Data Engineering Manager

Senior Technical Lead - Data Platforms

Azure Data Architect (with Specialty or Commercial Insurance)

Snowflake Data Modeller

Lead Data Consultant

Data Modeller - Vice President

Data Architect

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