ai engineer

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artificial intelligence engineer Jobs in London

artificial intelligence engineer

senior data scientist

data architect

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a Data Architect to join our AI project team. In this role, you will design and implement the data architecture needed to support machine learning and AI solutions, including defining data models, storage patterns, and governance frameworks. You will ensure that data from various sources is well-organised, accessible, and AI-ready, working closely with data engineers and ML engineers to build robust data pipelines and maintain high data quality for analytics and model development.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Data Modelling &amp; Schema Design: Develop and maintain data models (conceptual, logical, and physical) that define how data is stored and related. This includes designing relational schemas, graph data models for knowledge graphs, and time-series data structures as needed, ensuring they accurately represent business entities and relationships. You will continually refine these models to meet AI use cases and evolving business requirements.
</p></div><div><p>Data Storage Architecture: Define and implement data storage and management patterns that optimise data retrieval and analytics performance. This involves selecting or designing appropriate storage solutions (e.g. relational databases, NoSQL/graph databases, data warehouses, data lakes) and structuring them for scalability and fast access to large datasets used in AI projects. Ensure the architecture can handle structured and unstructured data and is cloud-ready for elasticity.
</p></div><div><p>Data Pipelines &amp; Integration: Build and oversee robust data pipelines (ETL/ELT processes) to integrate data from multiple sources into centralised platforms. You will design workflows to collect, transform, and load data into analytics repositories or feature stores, guaranteeing that AI models have consistent, well-prepared data to work with. This includes setting up stream processing for real-time data when required and automating pipeline orchestration for efficiency.
</p></div><div><p>Data Governance &amp; Quality: Establish and enforce data governance policies and standards. This means defining practices for data quality, data cleaning, and master data management, as well as setting security and privacy controls to protect sensitive information. You will ensure compliance with relevant data regulations and implement data security measures (e.g. access controls, encryption) and validation rules so that the data used in AI is trustworthy and compliant.
</p></div><div><p>Metadata Management &amp; Lineage: Implement frameworks for data metadata management and lineage tracking. This includes maintaining data catalogues or dictionaries that describe data meaning (possibly leveraging ontologies), and tools or processes to trace how data flows through pipelines and transformations. By providing transparency into data origins and transformations, you support model interpretability and enable troubleshooting of data issues, which is critical in AI development.
</p></div><div><p>Collaboration with Engineering Teams: Work closely with data engineers, ML engineers, and data scientists to ensure the data architecture meets their needs. You will collaborate on designing data interfaces (e.g. APIs or query endpoints) and assist in shaping how data is used for features in machine learning. This role requires translating requirements between data teams and ML teams, and jointly resolving issues to streamline the path from raw data to AI insights.
</p></div><div><p>Performance Optimisation &amp; Scaling: Monitor the performance and scalability of the data infrastructure, and tune it as the AI project grows. Optimise database queries, indexing, and storage layouts for faster model training and inference data access. Plan for scale by leveraging cloud capabilities (compute, storage) and manage costs effectively, adjusting architectures (partitioning, caching, etc.) to maintain efficient, cost-effective operations as data volumes increase. You may also evaluate new technologies (e.g. distributed computing frameworks or new databases) and incorporate them to continually improve the architecture.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Education: Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent professional experience). An advanced degree is a plus but not required.
</p></div><div><p>Experience: Approximately 3-5 years of experience in data architecture, data engineering, or a related data management role. A proven track record in designing data solutions and managing data schemas is expected.
</p></div><div><p>Data Modelling &amp; Databases: Strong proficiency in data modelling and database design. You should be comfortable creating ER diagrams and defining relational schema, as well as working with NoSQL databases (e.g. document or graph databases). Practical experience with SQL and at least one relational database is required, as well as deep knowledge of other data store types (especially graph databases) is highly needed.
</p></div><div><p>Data Pipeline Development: Hands-on experience developing data pipelines and integration workflows. This includes proficiency in ETL/ELT tools or frameworks (or custom scripting with Python/SQL) to gather and transform data. You should understand how to optimise data flow and have experience with batch processing; experience with real-time streaming data (e.g. using Kafka or equivalent) is a plus.
</p></div><div><p>Ontologies &amp; Knowledge Graphs: Exposure to semantic data modelling, ontologies, or knowledge graph construction. Experience in structuring data with ontologies (e.g. using RDF/OWL standards) or implementing a knowledge graph to link datasets can be very beneficial, since it helps in creating a unified data vocabulary and enriches the context for AI models.
</p></div><div><p>Cloud Data Platforms: Experience working with cloud-based data platforms or big data technologies. While our approach is cloud-agnostic, you should be familiar with concepts like data lakes, data warehouses, and distributed computing in a cloud environment (e.g. using AWS, Azure, or GCP services). The ability to design solutions that leverage cloud scalability and tools for storage and processing is important.
</p></div><div><p>Data Governance &amp; Security: Solid understanding of data governance principles and best practices. You should be knowledgeable about data privacy regulations and data protection techniques, ensuring compliance in how data is stored and used. Experience implementing data quality checks, defining data standards, and using or setting up metadata management tools will be useful.
</p></div><div><p>Communication &amp; Teamwork: Excellent communication skills with the ability to collaborate in cross-functional teams. You should be able to translate complex data architecture concepts into clear terms for project managers or stakeholders, and work closely with engineering teams to guide implementation. Problem-solving aptitude and a willingness to mentor junior data team members are also important in our collaborative environment.
</p></div></div><p>Nice to have
</p><div><div><p>AI/ML Project Involvement: Experience working on projects that involve AI or machine learning, where you partnered with data scientists or ML engineers. For example, having supported an ML model deployment by providing well-structured data and ensuring data reliability. This background will help you anticipate the needs of AI initiatives and design data architectures that facilitate model training and inference.
</p></div><div><p>Data Governance Tools: Familiarity with data governance or data cataloguing tools (such as Collibra, Alation, or Apache Atlas) and lineage-tracking systems. Hands-on experience setting up or maintaining a data catalogue, documenting data definitions, or automating data lineage capture is a strong plus, as it shows ability to operationalise governance and transparency in data ecosystems.
</p></div><div><p>Modern Data Architecture Patterns: Experience with modern data architecture concepts and patterns. This could include implementing or working with data lakehouse architectures (combining data lake flexibility with data warehouse performance), data mesh principles (decentralising data ownership to domain teams), or event-driven/streaming architectures. Familiarity with these approaches demonstrates adaptability and knowledge of cutting-edge solutions for handling complex data workflows.
</p></div><div><p>Certifications: Relevant industry certifications are advantageous. Certifications such as AWS/Azure/GCP data engineering certifications, Certified Data Management Professional (CDMP), or other credentials in data architecture and cloud services show validated expertise and a commitment to staying current with technology developments. While not mandatory, they could strengthen your candidacy.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>London, United Kingdom of Great Britain and Northern Ireland
</p></div><p>Req. VR-123709
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>BCM Industry</p>
</div><div><p>30/06/2026
</p></div><div><p>Req. VR-123709</p></div></div></div><p></p>

Data Architect

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Who You Will Be Working With</b></h2><br>
</div><p></p><div><p>You will be part of the Data Platforms team within the Insights and Data Global Practice, which has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is home to API Engineers, Data Engineers, Platform Engineers, Solutions Architects and Business Analysts focused on driving our customersdigital and data transformation using modern cloud platforms. We specialise in the latest frameworks, reference architectures and technologies across AWS, Azure and GCP, including API/microservices patterns and data platforms such as AWS-native analytics services and Snowflake.</p><br>
<p><br>
As an AWS API Engineer / Data Architect at Capgemini, you will design and deliver secure, scalable API and microservices architectures across multiple client applications and services. You will define integration patterns and standards, shape data and document-store designs, and take ownership from solution design through build, deployment and production support, ensuring services are observable, reliable and cost-effective on AWS.<br>
</p><p><br>
You will design and deliver secure, scalable, well-integrated APIs and microservices across multiple client applications and services, supporting system and data integration across distributed environments.<br>
</p><p></p><p><b>Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.</b></p><br>
<p><br>
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.
</p><p>Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
<br>
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>The Focus of Your Role</b></h2><br>
</div><p></p><div><p>You will be an integral part of teams delivering modern digital services on AWS, with primary responsibility for API and microservices architecture and system integration. You will design RESTful APIs and service boundaries, define integration standards, and collaborate with product, delivery and cybersecurity stakeholders to ensure secure access patterns, strong observability, and smooth deployments and cutovers. Where required, you will also contribute to data architecture decisions (e.g., PostgreSQL and document stores) to enable robust end-to-end solutions.
<br>
Key responsibilities (API &amp; data architecture):</p>
<ul><li>Design and implement serverless and microservices-based API architectures on AWS (e.g., Lambda, API Gateway) aligned to product roadmaps.</li>
<li>Define and apply RESTful API design patterns and integration standards; support API lifecycle management, documentation and versioning.</li>
<li>Support system and data integration across distributed services, including event-driven patterns where appropriate.</li>
<li>Assess and address technical debt, recommending pragmatic modernisation approaches.</li>
<li>Support deployment planning, cutover activities and post-go-live stabilisation.</li>
<li>Contribute to document store and data architecture design (e.g., PostgreSQL and document stores) and collaboration with data engineering teams.</li>
<li>Collaborate with cybersecurity and delivery teams to ensure secure, observable solutions (logging, monitoring, audit)</li>
<li>Integrate applications with identity providers and enforce secure access patterns (e.g., IAM, token-based authentication).</li><br>
</ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>What You'll Bring</b></h2><br>
</div><p></p><div><p>You will bring strong, hands-on experience delivering API and integration solutions within complex environments, with an understanding of regulatory obligations and the need for trusted, mission-critical services. You will be able to design secure, scalable and well-governed RESTful APIs and microservices on AWS, applying consistent standards for identity, access control, observability, auditability and operational resilience. You will be comfortable collaborating with stakeholders to translate outcomes into pragmatic architectures and delivery plans, and you will bring strong engineering discipline, documentation and teamwork skills to help teams deliver sustainable capabilities end-to-end.
<br>
Required skills &amp; experience (API &amp; architecture):</p>
<ul><li>Strong experience designing and building APIs and microservices architectures.</li>
<li>Hands-on experience with AWS serverless technologies (e.g., AWS Lambda, Amazon API Gateway).</li>
<li>Solid understanding of RESTful APIs, integration patterns and distributed systems; exposure to GraphQL is a plus.</li>
<li>Experience working across the full delivery lifecycle, from design through deployment and production support.</li>
<li>Ability to communicate architecture decisions clearly to technical and non-technical stakeholders.</li><br>
</ul><p><br>
<b>Experience:</b>
</p><ul><li>Minimum 5+ years of experience as an AWS API Engineer / Data Architect, designing and delivering APIs and microservices in production environments.</li>
<li>Strong expertise in AWS services used for API and platform delivery (e.g., Amazon API Gateway, AWS Lambda, IAM, VPC, Route 53, ECR) and experience applying security and networking fundamentals.</li>
<li>Experience with deployment and operations practices (CI/CD, release planning, cutover, post-go-live stabilisation) and observability tooling (e.g., CloudWatch and/or ELK, Prometheus, Grafana).</li>
<li>Proficiency in at least one backend language (e.g., Python) with strong software engineering practices (Git, code review, unit testing, CI/CD) and an ability to troubleshoot production issues.</li>
<li>A continuous learning mindset, ideally with progress toward AWS certification (e.g., AWS Certified Developer Associate or AWS Certified Solutions Architect Associate) or equivalent experience.</li>
<li>Relevant certifications (desirable): AWS Certified Developer Associate, AWS Certified Solutions Architect Associate/Professional, and/or AWS Certified Security Specialty.</li><br>
</ul><p><br>
<b>Technologies you may work with:</b><br>
</p><p></p><ul><li>Amazon Web Services (AWS): Lambda, API Gateway, Aurora RDS, EC2, Route 53, ECR, STS, VPC, S3.</li>
<li>API, Integration &amp; Security: RESTful APIs, Apollo GraphQL; AWS IAM, token-based authentication, external identity providers.</li>
<li>Data &amp; Messaging: PostgreSQL, Apache Kafka, document stores.</li>
<li>Engineering &amp; Operations: CI/CD pipelines; ELK stack; Prometheus, Grafana.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Additional Info</b></h2><br>
</div><p></p><div><p><b>Hybrid working</b>: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.</p>
<p>If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)</p><br>
<p></p><p><b>What we&rsquo;ll offer you</b></p><br>
<p></p><p>You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.</p><br>
<p><br>
<b>Why we&rsquo;re different</b><br>
</p><p></p><p>At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that&rsquo;s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.
<br>
<br>
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.</p></div></div></div></div></div></div></div>

AWS API Engineer / Data Architect

<div><div><h4 class="jobSectionHeader"><b>Who We Are</b></h4>
<p>
WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients' businesses.</p></div><p>
Do you thrive on shaping the strategic technological future of the world's leading brands? Are you a visionary architect who can orchestrate complex MarTech ecosystems to deliver hyper-personalised customer experiences at scale? Can you translate ambitious business objectives into scalable, compliant, and future-proof enterprise architectures?</p>
<p>
If you are a strategic technology leader with a consultancy mindset, strong stakeholder management skills, and a passion for driving innovation across enterprise MarTech landscapes, then you might be the Enterprise Architect we're looking for.</p>
<p><b>
What will your day look like?</b></p>
<p>
As an Enterprise Architect, you will be the strategic technical leader responsible for defining, evolving, and governing enterprise-wide MarTech architecture for our clients. You will operate at the intersection of business, technology, data, and innovation, translating business strategies into scalable architectural roadmaps that drive measurable business outcomes.</p>
<p>
You will act as a trusted advisor to both clients and internal stakeholders, ensuring that enterprise marketing ecosystems align with long-term business objectives while supporting innovation, operational excellence, scalability, and profitability.</p>
<p>
You will also act as an ambassador of VML MAP values, principles, and ways of working, contributing to the growth and evolution of the wider Tech &amp; Data practice.</p>
<p>
More specifically, your responsibilities will include:</p>
<p><b>
Strategic Vision &amp; Enterprise Roadmaps</b></p>
<ul>
<li>Define and maintain enterprise MarTech architectural roadmaps aligned to both short-term and long-term business goals.</li>
</ul><ul><li>Translate complex business strategies into scalable technical visions and actionable transformation plans.</li>
</ul><ul><li>Align enterprise architecture with broader business and marketing objectives to support growth and customer-centricity.</li>
</ul><ul><li>Support clients in defining future-state architecture and transformation strategies.</li>
</ul>
<p><b>Enterprise Architecture &amp; MarTech Orchestration</b></p>
<ul>
<li>Design and orchestrate complex enterprise MarTech ecosystems involving multiple platforms, marketing clouds, vendors, integrations, and data sources.</li>
</ul><ul><li>Define scalable architectural blueprints and integration patterns across disparate systems and cloud environments.</li>
</ul><ul><li>Ensure interoperability, scalability, performance, reliability, and operational efficiency across the wider technology landscape.</li>
</ul><ul><li>Simplify and optimise enterprise ecosystems while maintaining alignment with strategic business goals</li>
</ul>
<p><b>Data, Governance, Privacy &amp; Security</b></p>
<ul>
<li>Define enterprise-wide data architecture strategies, governance principles, and integration standards.</li>
</ul><ul><li>Ensure compliance with data privacy regulations such as GDPR and CCPA through Privacy by Design principles.</li>
</ul><ul><li>Establish architectural governance frameworks, standards, and best practices.</li>
</ul><ul><li>Ensure enterprise solutions maintain strong security, scalability, and data quality standards.</li>
</ul>
<p><b>Innovation &amp; Emerging Technologies</b></p>
<ul>
<li>Drive innovation initiatives and continuously evaluate emerging MarTech, AI, and cloud technologies.</li>
</ul><ul><li>Identify opportunities to improve client ecosystems, operational maturity, and customer experiences through modern technology adoption.</li>
</ul><ul><li>Stay up to date with evolving industry trends, enterprise architecture patterns, and best practices</li>
</ul><ul><li>Champion AI adoption and innovation initiatives where relevant.</li>
</ul>
<p><b>Consultancy, Client Leadership &amp; Business Growth</b></p>
<ul>
<li>Act as a trusted advisor to senior client stakeholders, including CMOs, Enterprise Architects, and business leadership teams.</li>
</ul><ul><li>Influence strategic decision-making by connecting business needs with enterprise technology opportunities</li>
</ul><ul><li>Support pre-sales, strategic consulting, innovation initiatives, and transformation programs.</li>
</ul><ul><li>Partner with Account, Strategy, and Solution Consulting teams to identify growth opportunities and shape enterprise solution approaches.</li>
</ul><ul><li>Balance technical excellence with commercial pragmatism to drive both client value and sustainable delivery outcomes.</li>
</ul>
<p><b>Cross-Capability Collaboration &amp; Technical Leadership</b></p>
<ul>
<li>Operate across cross-functional and cross-capability teams, including Tech &amp; Data, Experience, Strategy, Paid Media, Marketing Operations, Solution Consulting, and Account capabilities.</li>
</ul><ul><li>Provide technical leadership across large-scale and complex client engagements.</li>
</ul><ul><li>Mentor and support Solutions Architects, Technical Architects, Developers, and other technical specialists.</li>
</ul><ul><li>Drive alignment across global teams, portfolios, and capabilities to promote reusable enterprise patterns and best practices.</li>
</ul><ul><li>Contribute to communities, guilds, knowledge-sharing initiatives, and capability growth across VML MAP.</li>
</ul>
<p><b>Operationalisation &amp; Continuous Improvement</b></p>
<ul>
<li>Support the stabilisation, optimisation, and operationalisation of enterprise MarTech ecosystems.</li>
</ul><ul><li>Ensure enterprise solutions deliver measurable business outcomes and long-term operational success.</li>
</ul><ul><li>Oversee KPIs, performance metrics, and ROI expectations across enterprise platforms.</li>
</ul><ul><li>Participate in resolving complex technical and operational challenges across client ecosystems.</li></ul><br>
<p></p>
<p><b>
Who are you going to work with?</b></p>
<p>
You will operate at the intersection of business and technology, engaging with a broad spectrum of stakeholders internally and externally.</p>
<p>
You will work closely with:</p>
<ul>
<li>C-suite stakeholders, including CMOs and enterprise leadership teams.</li>
</ul><ul><li>Client architects, technical teams, and external vendors.</li>
</ul><ul><li>Internal Account, Strategy, Experience, Paid Media, Marketing Operations, and Solution Consulting teams.</li>
</ul><ul><li>Technical Architects, Solutions Architects, Developers, Data Engineers, TPMs, and other Tech &amp; Data specialists.</li>
</ul><ul><li>Communities, Guilds, and innovation initiatives across the wider VML MAP organisation.</li>
</ul>
<p>At VML MAP, we value diversity, collaboration, innovation, and continuous growth. We empower our leaders to bring both strategic thinking and personal leadership into their day-to-day work while helping others grow and succeed.</p>
<p><b>
What do you bring to the table?</b></p>
<p>
As a person, you are a strategic and influential technology leader with strong emotional intelligence and consultancy capabilities. You can navigate ambiguity, influence senior stakeholders, and connect business strategy with enterprise technology direction.</p>
<p>
You are highly collaborative, self-driven, innovative, and commercially aware, with a passion for mentoring others and contributing to the wider growth of the organisation.</p>
<p>
You are comfortable operating across both strategic transformation discussions and complex enterprise technology challenges.</p>
<p>
In addition, you have:</p>
<ul>
<li>10+ years of progressive experience in technical architecture, with extensive experience operating in Enterprise Architect roles within MarTech ecosystems</li>
</ul><ul><li>Deep expertise across Salesforce Marketing Cloud and broader enterprise MarTech platforms such as Data Cloud, CDPs, CRM, Analytics, CMS, AdTech, and cloud ecosystems.</li>
</ul><ul><li>Proven experience designing and governing enterprise-wide marketing technology landscapes across multiple vendors and cloud environments.</li>
</ul><ul><li>Strong understanding of enterprise architecture principles, integration patterns, API strategies, cloud solutions, scalability, reliability, and performance optimisation.</li>
</ul><ul><li>Experience defining enterprise data architecture, governance models, and privacy-by-design frameworks.</li>
</ul><ul><li>Demonstrated experience influencing business outcomes through enterprise technology strategy and consultancy.</li>
</ul><ul><li>Strong stakeholder management and influencing skills, including experience engaging with executive leadership and senior client stakeholders.</li>
</ul><ul><li>Experience supporting pre-sales, innovation initiatives, strategic consulting, and business development activities.</li>
</ul><ul><li>Passion for mentoring, knowledge sharing, and growing technical communities.</li>
</ul><ul><li>Strong understanding of the digital agency landscape and consultancy-driven client delivery models.</li>
</ul><ul><li>Experience working across global teams and cross-functional organisations.</li>
</ul><ul><li>Familiarity with enterprise architecture frameworks such as TOGAF and their practical application within MarTech ecosystems.</li>
</ul>
<p><b>A leader in personalised customer experiences</b></p>
<p>
VML MAP is a world-leading Centre of Excellence that helps businesses humanise the relationship between brands and customers through hyper-personalisation at scale, marketing automation, CRM, and data-driven experiences.</p>
<p>
With the brain of a consultancy, the heart of an agency, and the power of technology and data, we work with some of the world's most admired brands to help them become truly customer-centric organisations.</p>
<p>
As an Enterprise Architect, you will play a critical role in shaping and evolving enterprise MarTech landscapes, driving innovation, solving complex integration challenges, and aligning technology ecosystems with strategic business outcomes.</p>
<p>
Together, we are 1000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.</p>
<p><b>
A global network</b></p>
<p>
We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.</p>
<p><b>
#LI-EMEA</b></p><div><p><b>
About WPP</b></p>
<p>
WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company &ndash; powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.</p>
<p>
WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.</p>
<p>
When you click &quot;Apply now&quot; below, your information is sent to MAP/VML. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy. California residents should read our California Recruitment Privacy Notice.</p></div></div>

Enterprise Architect - Salesforce Marketing Cloud

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>CAPGEMINI INVENT</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p>
<p>Join our AI Strategy team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI by embedding Generative AI, agentic systems, and copilots into every aspect of how they operate, compete, and create value.</p>
<p>We are looking for experienced Strategy and AI leaders with strong commercial acumen, individuals who understand AI technologies and can translate them into enterprise-wide transformation. You will lead engagements from strategy through to execution, enabling the shift toward AI-enabled enterprises whilst contributing to the growth of our AI Strategy practice.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you&rsquo;ll be working at the cutting edge of what&rsquo;s next.</p>
<p>We DESIGN autonomous, AI-powered data platforms&ndash; You will lead the design and evolution of next-generation, self-optimising data and AI platforms that power both operational and analytical data workloads. Leveraging hyperscale cloud ecosystems (AWS, Azure, GCP), you will embed agentic AI capabilities, enabling systems that can reason, adapt, and act with minimal human intervention.</p>
<p>We ENABLE intelligent cloud transformation&ndash; You will architect intelligent, hybrid and multi-cloud data ecosystems, driving the transition from legacy platforms to AI-centric, adaptive architectures that enhance scalability, performance, and resilience.</p>
<p>We INNOVATE with agentic and generative AI solutions&ndash; You will design, deliver and scale solutions for advanced AI systems, including agentic workflows, LLM-powered applications, and decision intelligence platforms.</p>
<p>We AUTOMATE for speed and reliability &ndash; You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).</p>
<p>We ADVISE on enterprise data strategy &ndash; You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.</p>
<p>We DELIVER impact through design excellence &ndash; You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.</p>
<p>We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.</p>
<p>As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p>
<ul><li>Business Development - Leading/contributing and driving growth through proposals, RFPs, bids, client pitch contribution, client hosting at events.</li></ul>
<p>Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.
<br>
Learning &amp; development - Training to support your career development and the skills demand within the company, certifications etc.
<br>
You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data.</p>
<p>We are looking for exceptional Data Platform Architecture &amp; Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE</b></h2>
</div><div><p>As a member of the Data &amp; AI Strategy Team you&rsquo;ll be part of the future of Data &amp; AI Architecture and Technology consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You&rsquo;ll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.</p>
<p>Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point &ndash; we want to build a team which has diverse backgrounds, perspectives and strengths.</p>
<p>Key Skills</p>
<ul><li>Growth mindset and curiosity - You&rsquo;re always learning, experimenting with new technologies, and pushing the boundaries of what&rsquo;s possible.</li></ul>
<p>Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations.
<br>
Excellent communication and collaboration skills - You&rsquo;re confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives.
<br>
Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.
<br>
Technology &amp; Consulting Experience</p>
<ul><li>Strategic Leadership in Data, Analytics &amp; AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation.</li></ul>
<div>Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience.
<br>
<ul><li>Consulting background: Strong consulting background in technology and data strategy, with experience defining and delivering AI-enabled, cloud-first transformation roadmaps and driving maturity journey.</li></ul></div>
</div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU&rsquo;LL LOVE ABOUT WORKING HERE?</b></h2><br>
</div><div><p><br>
Our team drives business transformation by designing the organisations of the future, delivering end-to-end blueprint for AI-enabled enterprises. We are at the cutting edge of the 4th industrial revolution and are uniquely placed to leverage the broad, market-leading capabilities of Capgemini Group.
</p><p>We work across a wide range of industries, delivering outcomes that make a real impact on society. You&rsquo;ll have the freedom to experiment, innovate and shape your own career path, supported by mentoring from our leading experts in data and AI.</p>
<p>We are delighted to have received the &ldquo;Glassdoor Best Places to work UK&rsquo; accolade for 5 consecutive years. To see what it&rsquo;s like to work at Capgemini Invent, visit our Glassdoor page.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW</b></h2>
</div><div><p>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self At Cap to work.</p>
<p>We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
<p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</p>
<p>Declare they have a disability, and</p>
<p>Meet the minimum essential criteria for the role.</p>
<p>Please opt in during the application process.</p>
<p>CSR:</p>
<p>We&rsquo;re also focused on using tech to have a positive social impact. So, we&rsquo;re working to reduce our own carbon footprint and improve everyone&rsquo;s access to a digital world. It&rsquo;s something we&rsquo;re really serious about. In fact, we were even named as one of the world&rsquo;s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you&rsquo;ll join a team that does the right thing.</p>
<p>Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.</p>
<p>We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI</b></h2>
</div><div><div><p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of &euro;22.5 billion.
</p></div><div><p>Make it real. | www.capgemini.com</p></div></div></div></div></div></div></div></div>

Managing Consultant/Senior Manager - Data & AI Architecture

RocketFin Consulting

<div><h1 class="jobSectionHeader"><b>Key Responsibilities</b></h1>
<p><b>
Data Engineering &amp; Pipelines</b></p>
<ul>
<li>Build and enhance data pipelines and automation workflows on Azure for large-scale data ingestion and processing</li>
<li>Maintain and optimise existing toolkits, databases, dashboards, and API-based solutions</li>
<li>Develop end-to-end automated data solutions across commodities (Gas/LNG, Power, Weather)</li>
<li>Design and implement web scraping pipelines (e.g. US LNG data)</li>
</ul>
<p><b>Analytics &amp; Real-Time Systems</b></p>
<ul>
<li>Support real-time and batch analytics use cases in a dynamic trading environment</li>
<li>Enable and support analytics dashboards and GUI tools with reliable backend infrastructure</li>
<li>Develop real-time flow tracking solutions at critical market points</li>
</ul>
<p><b>Data Modelling &amp; Architecture</b></p>
<ul>
<li>Design and manage Snowflake data models, ensuring performance and scalability</li>
<li>Integrate external data sources including ENTSOE, EPEX, KPLER, MetDesk, WoodMac, and others</li>
<li>Collaborate with analytics teams to structure data for models and advanced analytics use cases</li>
<li>Build and maintain data platforms supporting ML models such as demand forecasting</li>
</ul>
<p><b>Key Deliverables</b></p>
<ul>
<li>LNG Sendout Optimisation Model</li>
<li>Ship Tracking &amp; Flow Monitoring Tools</li>
<li>Prompt Price &amp; Forward Curve Bootstrapping</li>
<li>Web scraping pipelines for US LNG and other market data sources</li>
<li>Real-time flow tracking infrastructure at critical market points</li>
<li>Data platforms supporting ML and demand forecasting models</li>
</ul><h1 class="jobSectionHeader"><b>Required Skills &amp; Experience</b></h1>
<p><b>
Technical</b></p>
<ul>
<li>Strong proficiency in Python for data engineering and pipeline development</li>
<li>Hands-on experience with Azure data services (Data Factory, Databricks, Blob Storage, etc.)</li>
<li>Experience designing and optimising Snowflake data models</li>
<li>Proven track record building and maintaining data pipelines at scale</li>
<li>Experience integrating third-party market data APIs and external data feeds</li>
<li>Familiarity with SQL and data warehousing concepts</li>
</ul>
<p><b>Domain</b></p>
<ul>
<li>Experience or strong interest in energy, commodities, or financial markets data</li>
<li>Understanding of real-time and batch data processing patterns in a trading context</li>
<li>Familiarity with market data providers such as ENTSOE, EPEX, KPLER, or similar</li>
</ul><h1 class="jobSectionHeader"><b>Nice to Have</b></h1>
<ul><li>Experience with web scraping frameworks (e.g. Scrapy, BeautifulSoup, Playwright)</li>
<li>Knowledge of LNG, Gas, or Power market fundamentals</li>
<li>Experience supporting ML model pipelines or demand forecasting workflows</li>
<li>Exposure to GUI/dashboard tools such as Grafana, Power BI, or Streamlit</li>
<li>Knowledge of ship tracking data or AIS feeds</li></ul></div><p></p>

Data Engineer

Fortnum & Mason

<div><p>Our Head Office department is in the heart of Piccadilly and occupies the 5th &amp; 6th floor of our beautiful flagship store. This central London location offers so much to explore including restaurants, bars, cultural sites, shopping and more, and only a short walk from the Green Park Tube Station and plenty of bus stops.</p><p></p><p><b><br>
Data Engineer &ndash; Azure &amp; Power BI</b></p><p>
We&rsquo;re looking for an experienced Data Engineer to design, build and support high-quality data solutions that power reporting and analytics across the business. You&rsquo;ll translate business needs into scalable technical solutions, working with tools like Azure Synapse, Data Lake, Fabric and Power BI.</p><p>
You&rsquo;ll develop ETL/ELT pipelines, data warehouses and lake solutions, while ensuring strong data quality, monitoring and performance. You&rsquo;ll also lead on BI initiatives and collaborate with stakeholders to deliver impactful insights.</p><p></p><p><b><br>
Essential skills:</b></p><ul><li><p>
5+ years in data engineering / data development</p></li><li><p>
Strong Python and SQL</p></li><li><p>
Azure Data Services (Synapse, Data Lake, Fabric, Databricks)</p></li><li><p>
Power BI reporting &amp; data modelling</p></li><li><p>
ETL/ELT pipeline development and data architecture</p></li><li><p>
Experience with APIs, Spark, and large-scale data platforms</p></li><li><p>
Real-time data, CI/CD, governance or retail experience. (Desirable)</p></li></ul><p><b>
Why Work For Us:</b></p><ul><li><p>
Competitive salary</p></li><li><p>
A generous store and restaurant discount of up to 40%</p></li><li><p>
25 days holidays (excluded bank holidays) and an extra day off for your birthday</p></li><li><p>
A fantastic subsidised staff restaurant which uses Fortnum&rsquo;s ingredients</p></li><li><p>
A range of opportunities to develop and grow personally and professionally</p></li><li><p>
Excellent pension scheme</p></li></ul><p></p><p><br>
We are committed to developing your career and nurturing your talent, regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and maternity; race; religion or belief; sex; sexual orientation. We respect and embrace each other's differences, to create a truly inclusive environment.</p><p></p><p><br>
In the last year alone, our people have been recognised and celebrated, winning awards for their outstanding contributions to Retail, Technology, Global Hospitality &amp; Tourism, Visual Merchandising &amp; Display, Customer Service and Local Community Awards.</p></div>

Ci&T

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
<br><br>
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
<br><br>
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
<br><br>
We're looking for a contractor to join us on a 6 month basis to help with a project in the financial services sector focussing on their DBT Modelling, cross-domain data products and trusted analytics-ready datasets.
<br><br>
<b>In this role you'll:</b><br>
Build and maintain DBT models for cross-domain analytics use cases
<br>Create reusable facts, dimensions and marts for analytics consumption
<br>Support cross-domain data products such as Churn, LTV, Segmentation and Customer Intelligence
<br>Implement dbt tests, source freshness checks and reconciliation logic
<br>Translate business requirements into data models and metric logic
<br>Support data quality checks and model validation
<br>Document model definitions, business rules, assumptions and lineage
<br>Work closely with analytics and domain teams to ensure datasets are fit for reporting and decisioning
<br><br>
<b>We need someone with these skills:</b><br>
Strong hands-on experience with DBT
<br>Strong SQL and Snowflake experience
<br>Experience building facts, dimensions, marts and analytics-ready data models
<br>Strong understanding of data modelling and metric design
<br>Experience implementing dbt tests, source freshness checks and data quality validations
<br>Ability to translate business requirements into trusted data models
<br>Experience working with analysts, product teams and business stakeholders
<br>Good documentation skills for model logic, metric definitions and lineage
<br>Experience working in modern data stack environments
<br><br>
Collaboration is our superpower, diversity unites us, and excellence is our standard.
<br>We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

[29868] - Data Analytics Engineer - DBT Modelling (Contract)

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[29868] - Data Analytics Engineer - DBT Modelling (Contract)