Top Data Jobs in London

Create distinctive copy for campaigns, digital, social, and customer communications while championing brand tone of voice. Partner with designers, marketers, Compliance, Product, CRM, and Technology teams. Develop writing frameworks, prompt libraries, and governance for brand and character tone-of-voice AI agents. Review communications, coach teams, and use customer insight and performance data to improve content.

Own the strategy, roadmap, and development of foundational data products, including governed data models, semantic layers, and modern data platforms. Partner with analytics engineering, data science, engineering, product, finance, and business teams to drive adoption and demonstrate business impact. Define metrics, coordinate stakeholders, manage trade-offs, and support data modernization and AI-enabled analytics initiatives.

Leads hands-on development of secure, scalable cloud-native software, data engineering, backend systems, and AI/ML infrastructure. Designs microservices and distributed applications, builds production-scale data platforms, develops architecture artifacts, and promotes responsible AI-assisted engineering practices. Works with AWS data services, containers, Kubernetes, DevOps, and MLOps while supporting engineering standards, automation, troubleshooting, and stakeholder communication.

Leads discovery, scoping, requirements, backlog ownership, Agile delivery, and stakeholder alignment for data transformation products. Defines data products, scope, data contracts, mappings, quality rules, metrics, and acceptance criteria while facilitating ceremonies, managing dependencies, tracking delivery health, and supporting account growth. Requires senior consulting experience, strong SQL and data analytics expertise, modern data platform knowledge, and client-facing facilitation skills.

Designs and builds scalable data pipelines and platforms supporting machine learning, analytics, pricing, marketing, forecasting, and personalization. Develops production-grade solutions with Python, Spark, Databricks, and cloud technologies; improves data quality, observability, lineage, performance, and cost efficiency. Partners with data scientists and machine learning engineers, provides technical leadership, mentors engineers, and translates customer, marketing, and commercial needs into reliable data products.

Supports operational data privacy activities, including retention policy implementation, data minimisation, migration, data mapping, RoPA maintenance, DPIAs, subject rights requests, supplier reviews, incident assessments, and privacy risk management. Advises technology and business stakeholders by translating legal and technical requirements into practical actions while maintaining documentation, supporting assurance activities, and improving privacy controls across a regulated international organisation.

Leads the development and deployment of machine learning models for Wise’s Receive product, using customer and transaction data to improve risk management, prioritization, personalization, and customer outcomes. Designs experiments, builds production-grade data pipelines and modelling tools, analyzes trends and anomalies, and collaborates with engineering, product, analytics, operations, and risk teams. The role also supports scalable data science capabilities and fraud prevention across global markets.

Leads complex, large-scale analytics projects using SQL and Python, oversees BI and reporting delivery, and translates complex requirements into strategic recommendations. Manages and develops 3–4 senior data analysts through coaching, performance management, and technical guidance. The role also establishes analytical standards, engages senior clients, identifies new opportunities, supports practice growth, and explores practical applications of AI and emerging analytics techniques.

Design, build, and operate scalable data pipelines and platform systems for blockchain data across more than 30 chains. Develop Go and Python services, optimize ClickHouse analytical workloads, and build incremental Databricks pipelines processing billions of rows. Improve reliability, freshness, performance, and cost efficiency; investigate production issues; collaborate with product and analytics teams; contribute to architecture and code reviews; and mentor engineers.

Build and maintain automated cloud-based data solutions and scalable ETL pipelines. Design end-to-end data architectures, use Databricks, SQL, Python, and Spark, and ensure reliable, high-quality data delivery. Own complex backlog tasks, support code quality through reviews and pair programming, and experiment with innovative solutions. Help develop analytical tools that enable data-driven decisions, operational efficiency, and improved business performance.

Leads mechanical engineering and construction administration for complex data centre projects across the EMEA region. Provides technical leadership, manages multidisciplinary teams, supports permitting and regulatory compliance, oversees project delivery, and contributes to AECOM’s data centre thought leadership and strategic growth. Requires strong knowledge of building systems, construction methodologies, digital design workflows, and data centre standards, with willingness to travel as needed.

Leads the design and implementation of electrical power monitoring and control systems for data centres. Manages projects from feasibility and specification through tendering, testing, reporting, and client training. Works with clients, architects, contractors, and multidisciplinary engineering teams while ensuring regulatory, sustainability, and safety compliance. Supports system integration, business development, team mentoring, and innovation in smart building technologies. Requires occasional national and international travel.

Leads digital delivery for hyperscale data centre projects, implementing BIM execution plans, ISO 19650 standards, common data environments, multidisciplinary coordination, quality controls, dashboards, and information management processes. Oversees distributed teams and project partners, monitors digital deliverables, manages model coordination and compliance, supports digital handover, and identifies automation and AI opportunities. The role also provides stakeholder leadership, reporting, training, resource input, and continuous improvement across the project lifecycle.

Leads mechanical engineering delivery for complex data centre projects across multidisciplinary and international teams. Provides technical leadership, supports project management, contributes to thought leadership and strategic growth, and strengthens AECOM’s hyperscale and colocation data centre practice. Responsibilities include applying building systems, permitting, regulations, construction methodologies, Revit, and digital design workflows while managing multiple projects and client relationships.

Leads architectural design and technical delivery for large multidisciplinary data centre projects across the UK, Ireland, and Europe. Responsibilities include coordinating architectural and engineering teams, managing design documentation, maintaining quality and governance standards, supporting site delivery, presenting to clients, overseeing resources and deadlines, and applying digital workflows. The role requires strong Revit and CAD expertise, data centre experience, knowledge of UK building regulations, and chartered architect or architectural technologist credentials.

Delivers and coordinates electrical designs for data centre and industrial facility projects. Manages electrical delivery on small and mid-sized projects, provides technical input, presents solutions, supports proposals, attends coordination and site meetings, and liaises with clients, contractors, suppliers, and multidisciplinary teams. The role also includes workload management, site inspections, feasibility reporting, and developing designs across RIBA work stages.

Lead electrical engineering and construction administration for hyperscale and colocation data centre projects. Responsibilities include project planning, electrical design, technical reporting, specifications, cost control, client and contractor liaison, site inspections, design coordination, proposal development, and mentoring junior engineers. The role leads multidisciplinary teams and delivers projects in accordance with relevant regulations, standards, and RIBA work stages.

Leads electrical engineering and construction administration for hyperscale and colocation data centre projects. Responsibilities include project planning, technical design input, contract documentation, specifications, estimating, cost control, reporting, client presentations, design coordination, site inspections, and stakeholder liaison. The role leads multidisciplinary engineering teams, manages project delivery, develops proposals, and mentors junior engineers while ensuring compliance with relevant standards and RIBA work stages.

Leads digital delivery and BIM execution for hyperscale data centre projects. Responsibilities include developing BIM Execution Plans, managing CDEs, enforcing ISO 19650 and project standards, coordinating multidisciplinary models, overseeing quality assurance and clash detection, tracking KPIs, managing stakeholders and distributed teams, supporting digital handover, and identifying automation and AI opportunities.

Leads architectural design and coordination for complex multidisciplinary data centre and infrastructure projects across all RIBA stages. Responsibilities include producing and approving design information, coordinating architectural and engineering teams, ensuring compliance and technical quality, managing deadlines and budgets, mentoring staff, supporting bids, engaging clients, and overseeing design delivery using digital technologies and CDE platforms.

Lead digital delivery for hyperscale data centre projects by implementing BIM standards, execution plans, CDE workflows, model coordination, quality controls, and information-management processes. Oversee distributed teams and delivery partners, monitor BIM KPIs and compliance, manage multidisciplinary coordination, support digital handover, and identify automation and AI opportunities. The role also involves client engagement, stakeholder coordination, reporting, resource planning, training, and continuous improvement across the project lifecycle.

Lead electrical engineering delivery for hyperscale and colocation data centre projects. Responsibilities include project planning, electrical design, technical reporting, specifications, estimating, cost control, client presentations, coordination meetings, site inspections, and contractor liaison. The role leads multidisciplinary engineering teams, mentors junior staff, supports proposals, and ensures designs meet relevant regulations and RIBA stages. Occasional regional and international travel is required, along with potential security clearance eligibility.

Senior Electrical Engineer responsible for delivering electrical designs for data centre and industrial facility projects. Duties include coordinating electrical delivery, providing technical input, managing workloads, presenting solutions, supporting proposals, attending design and site meetings, and liaising with clients, contractors, suppliers, and multidisciplinary teams. The role requires data centre design experience, relevant electrical engineering qualifications, professional accreditation, software proficiency, occasional travel, and eligibility for security clearance.

Senior Electrical Engineer responsible for delivering electrical designs for data centre and industrial facility projects. Duties include coordinating electrical delivery, providing technical design input, managing workloads, presenting solutions, supporting proposals, attending design and site meetings, and liaising with clients, contractors, suppliers, and multidisciplinary teams. The role requires data centre design experience, relevant software proficiency, professional accreditation, chartership progress, and willingness to travel internationally when required.

Leads global privacy, AI governance, intellectual property, technology transactions, and regulatory compliance for AECOM’s AI engineering teams. Advises on privacy laws, AI regulations, data rights, model licensing, contracts, risk assessments, product launches, and cross-border issues. Develops governance frameworks, playbooks, training, and compliance processes while coordinating internal legal specialists and external counsel. Represents AECOM in privacy and AI regulatory matters and provides pragmatic guidance to senior stakeholders and product teams.