76 to 95 of 95 Data Architecture Jobs in Central London

Analytics Engineer Up to £85,000 I have partnered with a global organisation operating at the intersection of data, technology and consumer engagement. With a footprint across multiple continents and a mission to redefine how audiences interact with digital experiences, they are seeking an Analytics Engineer to help scale their modern data platform and deliver high-impact insights … across the business. This is a strategic role where you will work closely with cross-functional teams to design robust data architecture, build trusted BI assets and drive analytics maturity across the organisation. You will be joining a fast-paced, mission-led team that values collaboration, innovation and continuous improvement. In this role, you will: Build and maintain … a scalable data warehouse using BigQuery Create clean, reusable data models using dbt Develop insightful dashboards in Tableau for business teams Ensure data pipelines run smoothly and reliably Work closely with engineers, analysts, and stakeholders to deliver trusted data products Support the ongoing development of the data platform and analytics roadmap You’ll be a More ❯

business, you will also be just as comfortable managing the systems and technology. You will have a strong background in platform, applications, infrastructure and cloud with an eye for architecture as their business is evolving at speed. You will also be comfortable working in a financial regulated environment, Summary: Cloud, data, platform and cybersecurity experience in end to … infrastructure that aligns with business outcomes, driving requirements and collaborating across all teams. IT vendor management, offshore 3rd party experience IT governance and controls Technical Expertise includes: Azure, Reporting Data lakes and data analytics tooling (Power BI or similar), SQL databases, GDPR, and bridging the technical-actuarial gap. Delivery Expertise includes: ability to execute end-to-end projects … either in-house or from consultancy engagement, with strong stakeholder collaboration. Requirements: Strong technical credentials in Azure, data architecture, and reporting Proven end-to-end delivery experience, ideally in Financial Services or consultancy Ability to bridge the gap between technical teams and Actuaries Hands-on leadership style, able to operate autonomously and collaboratively Right cultural fit: innovative, delivery More ❯

Location - London/Hybrid Salary - Up to £75k This is an incredible opportunity to build a data and intelligence function from scratch. This role will report directly into the CEO and will own critical capabilities that powers our companies growth — connecting systems, insights, and analysis to shape strategy, improve performance, and strengthen our position as the authority on UK … mid-market business success. About the Role As Head of Data, you’ll take full ownership of this information ecosystem — ensuring it becomes a strategic engine for growth. You’ll design and oversee connected systems across CRM, marketing, events, subscriptions, and external datasets, building the foundation that delivers actionable insights, sharper targeting, and a deeper understanding of our audience. … This is a hands-on, strategic leadership role at the centre of our Clients commercial and digital transformation. Responsibilities Own and evolve data architecture and governance, ensuring accuracy, compliance, and seamless flow across CRM (HubSpot), marketing, and event systems. Lead data enrichment and integration from internal and external sources (e.g. Beauhurst, Experian, MNAI), maintaining a best-in More ❯

Our client helps enterprises discover, assess, and respond to third-party and supply-chain risks through advanced AI-driven analytics and intelligence . Their mission is to deliver continuous, data-backed visibility into the extended enterprise, enabling organisations to identify vulnerabilities, map their digital ecosystems, and make informed decisions about vendor and partner risk. As they continue to scale … platform, we are seeking a Director of Engineering to lead a world-class technical team , shape the architectural vision , and drive execution across multiple product streams — including large-scale data pipelines and real-time risk intelligence systems . Role Overview: As the Director of Engineering , you will own technical strategy, execution, and people development for Cyb3r Operations’ engineering organisation. … You will work closely with the CTO, Product, and AI/Data Science leads to translate our business and product vision into a robust, scalable, and secure technology platform. This is a hands-on leadership role, ideal for someone who has grown from senior engineering roles into strategic leadership and thrives in a fast-paced, cybersecurity-focused SaaS environment. More ❯

strategy and architecture. This includes setting a vision for integration capabilities, aligning technology with business needs, and contributing to strategic transformation initiatives. Key Responsibilities Develop the enterprise-wide integration architecture vision and strategy. Define the future-state architecture for integration across platforms and services. Create and maintain a roadmap for delivering integration capabilities. Establish reusable patterns, standards, and … stakeholders. Ability to distil complex problems into clear technical and strategic solutions. Strong business acumen and the ability to communicate technical concepts in business terms. Skilled in modelling tools, architecture repositories, and visual communication. Experience in assessing emerging technologies and their impact on enterprise architecture. Desirable Skills Experience with Microsoft Azure technologies (e.g., Data Factory, Synapse, ADLS, Databricks … Power BI). Understanding of enterprise data architecture and analytics platforms. More ❯

London | 6 month contract | Outside IR35 We’re looking for a Senior Data Engineer/Analyst to help shape how data is used across an investment management business — designing smart reporting solutions and delivering insight that drives better decisions. You’ll be the go-to person for Power BI , building automated dashboards and reports that give real-time … clarity to investment and operations teams. Expect plenty of variety: data modelling, pipeline development, and ensuring accuracy and governance across complex datasets. What you’ll bring Proven experience with Power BI , SQL , and Python Strong understanding of data architecture, governance, and analytics A hands-on approach to building high-quality reporting solutions Experience in financial services or More ❯

be responsible for understanding client business objective, challenges, scope, and business outcomes through cloud and AI enablement. In this role you will work on advisory engagements in Cloud/Data Architecture, Industry Cloud, Mergers/Divestitures, Optimization/Operating Model, Ecosystem Integration. Key responsibilities: Consulting engagements from discovery to design and implementation Understanding client business models, industry challenges … consulting in any one of the areas such as Financial services, supply chain, Customer Experience , Operations etc Guide clients in adopting and optimising cloud based business models Interpret business data to build compelling business cases and transformation roadmaps For Data expertise Exposure to use data and analytics to drive business insights, develop use cases for business improvements … develop KPIs Define Data strategy and modernisation roadmaps Your Profile Key Skills/Knowledge/Experience Exposure to business strategy and transformation Cloud Consulting & Digital Platforms Any industry domain knowledge Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive More ❯

Solutions Consultant , Technical Account Manager Hybrid working Data Solutions Opportunity to join a successful MarTech consultancy Client facing position understanding and talking tech, but not working hands-on tech Work for big brand companies to deliver best-of-breed data solutions to maximise the clients customer data. Data points from across the organisation Websites, email marketing, customer … data etc. Integrated into a customer data platform (CDP) and marketing automation tools (such as Braze, SFMC, Adobe Experience cloud etc). Segmenting and creating intelligence. AI is also being used (of course!) This is the exciting world of Martech. Better understanding of customers which drives better product, better advertising, better retention and customer loyalty. What do you … need: Effortless customer facing skills. Video calls, workshop sessions Solutions minded (Understand the customers visions and pains) Technically minded (Understand the products and customers data architecture) 2+ years in a Technical consulting position, such as:- Technical Account Manager, Technical Customer Success Manager, Solution Consultant, Technical Consultant Drive to progress knowledge Likely you have skills with SQL, Python or More ❯

Python Engineer – Financial Services A financial markets firm are looking for experienced Python developers to help contribute to foundational data and systems work as part of their future deployment of AI models within the firm. You will work across a portfolio of middle and back-office systems projects, building enterprise-grade production systems and data pipelines, principally in … Python. 5-10 years of experience in commercial software engineering 4+ years in Python developing enterprise production-grade applications/systems Strong understanding of data structures and modern data architecture Basic understanding of financial products and trade flows in a markets context Computer science degree or similar This is a £450-550/day role, based London More ❯

complex real-world problems. Competitive compensation with a performance-linked bonus. What You’ll Do Take ownership of designing and building next-generation AI systems that make complex financial data instantly accessible and actionable. Partner closely with data scientists, ML researchers, and frontend engineers to turn research concepts into robust, scalable production solutions. Lead the end-to-end … delivery of new AI initiatives from idea and architecture through to deployment, monitoring, and optimisation. Introduce new tools, frameworks, and best practices that strengthen the team’s software engineering foundations. Contribute to a culture of continuous learning by mentoring engineers and helping shape the team’s technical direction. Ensure the stability and reliability of key AI platforms through proactive … 8+ years in software development, 3+ focused on AI or ML engineering). Expert proficiency in Python, with strong working knowledge of ML libraries and frameworks. Solid background in data architecture, with proven experience across SQL, NoSQL, and graph databases such as Neo4j or Amazon Neptune. Strong understanding of distributed systems, API design, and modern deployment practices using More ❯

of technology and build a more sustainable, more inclusive world. YOUR ROLE We are seeking a highly skilled and experienced Engineering Lead to drive the real-time implementation of data products. This role demands deep technical expertise, hands-on coding capabilities, and strong leadership to guide engineering teams in delivering high-quality, scalable solutions. You will act as a … bridge between product vision and technical execution, ensuring alignment across stakeholders and engineering teams YOUR PROFILE Lead the design, development, and deployment of real-time data products with a strong focus on hands-on coding and architecture. Provide subject matter expertise to support collaboration between product owners and engineering teams. Translate product strategy and roadmap into actionable technical plans … into scalable technical solutions. Stay abreast of emerging technologies and industry trends. Evaluate and adopt new approaches to improve product development and delivery. Proven experience in leading real-time data product implementations. Strong hands-on coding skills in modern programming languages (e.g., Python, Java, Scala). Experience working in financial services or large enterprise environments. Demonstrated ability to lead More ❯

a seasoned Enterprise Architect specialising in cyber security to lead the development of security strategies, architectural roadmaps, and governance frameworks. This newly created role will sit within the Enterprise Architecture (EA) function , working closely with the Cyber Security team to embed a ‘secure by design’ approach across the organisation’s technology landscape. You will play a pivotal role in … translating business strategy into a robust security architecture, ensuring alignment with current and future enterprise needs. This includes producing architectural artefacts such as landscapes, principles, standards, and insights, while providing architectural assurance and guidance to technical teams across the wider technology function. Key Responsibilities Define and evolve the organisation’s cyber security architecture, strategy, and roadmaps. Collaborate with … based on risk, performance, scalability, and cost. Conduct secure-by-design impact assessments for new initiatives. Establish and monitor compliance with security principles and standards. Lead and support solution architecture and design activities, ensuring alignment with enterprise goals. Maintain a centralised, version-controlled repository of architectural assets, standards, and models. Work with cross-functional teams to understand and support More ❯

performing global investment firm that’s rebuilding its technology foundations — and they’re looking for a Python Architect to help design and deliver the systems that power their research, data, and risk functions. This is a chance to join a small, elite engineering team where ideas move fast, ownership is real, and your work directly impacts performance. What You … ll Do Design, build and maintain backend APIs and automation tools used across research, data, and operations. Develop scalable data flows and microservices that connect critical systems. Own architectural decisions around reliability, scalability and cloud infrastructure . Work hands-on with Python, Snowflake, Kubernetes, Docker, and Dash . Partner closely with quantitative analysts and business teams to deliver … in Python engineering (backend, APIs, infrastructure, or automation). A hands-on builder who thrives in high-performance, small-team environments. Curiosity and technical breadth across DevOps, cloud, and data architecture . Strong communicator – comfortable translating technical work for non-technical stakeholders. Degree in Computer Science, Engineering, or a similar technical field . Experience in finance is not More ❯

with third-party systems using REST/SOAP APIs and Platform Events . Implement CI/CD and DevOps practices using Salesforce DX , Git , and automated deployments. Champion performance, data quality, and best-practice architecture across all solutions. Stay ahead of Salesforce releases and bring new ideas to the table. What You Bring 2–5 years of Salesforce … enterprise scale). Strong in Apex , LWC , SOQL/SOSL , and Salesforce APIs. Hands-on with Sales Cloud , Service Cloud , Experience Cloud , and FSL . Deep understanding of Salesforce data architecture, automation, and security models. Proficient in Salesforce Flows and DevOps practices (Salesforce DX, Git, CI/CD). Salesforce Platform Developer I (PD1) certification (required); PD2 preferred. … compensation and room to grow, technically and professionally. Ready to make an impact? Apply now or message us directly to learn more, and help us shape the future of data and technology at Aspect. More ❯

and OmniStudio to deliver scalable, upgradeable, and low-technical-debt applications. Integration – Design and implement secure, high-performing integrations with APIs, middleware, and event-driven patterns to ensure seamless data flow and system interoperability. DevOps & Automation – Apply branching strategies, CI/CD pipelines, test automation, and 2GP packaging to enable efficient, repeatable, and low-risk releases. Quality & Reliability – Own … and monitoring in place to ensure resilience and reduce recovery time. Security & Compliance – Follow secure coding practices (CRUD/FLS, least privilege, encryption) and governance standards to protect sensitive data and meet regulatory requirements. Collaboration – Work closely with architects, product owners, and cross-functional teams to align solutions with enterprise strategy and business outcomes. Continuous Improvement – Champion evolving engineering … team members through structured onboarding, coaching, and code reviews, building a culture of technical excellence. Expectations Translate business requirements into robust, scalable Salesforce solutions. Provide technical leadership in Salesforce architecture, integration, and DevOps practices. Proactively address technical debt, ensuring long-term platform stability and cost efficiency. Act as a trusted advisor to stakeholders, influencing technology direction and delivery priorities. More ❯

in London, Amsterdam and Dubai. The mission Build and scale the platform that helps financial institutions and investigators make sense of on-chain activity. Turn petabytes of multi-chain data into high-signal risk insights, KYT workflows, and investigator tooling. Real customers, eight to nine figure pipeline, recent strategic investment, strong pull to scale. What you will do Own … engineering strategy and delivery across data, platform, and product Define the multi-chain data architecture and reliability roadmap end to end Scale ingestion and indexing for 30+ blockchains, including high-throughput chains Operate a secure fleet of full nodes and indexers with clear SLAs and cost controls Set SLOs, observability, incident management, and make on call boring … privacy, and change control for enterprise buyers without killing speed Explore applied AI to improve clustering, attribution, and alert quality What you will bring Track record leading engineering in data platform or fintech scale-ups to roughly 0 to 10m ARR and beyond Depth in distributed systems and data. You have shipped enterprise grade platforms, not only features Proven More ❯

record of delivering complex, low-level code systems (e.g. C++, Java), with strong knowledge of performance optimisation and latency management along with Networking (TCP, UDP, multicast) and low latency data distribution. Ideally these skills will have been gained in a Low Latency Financial/Banking/Trading arena with some business knowledge (Equities, Fixed Income, Futures & Options) but candidates … with strong knowledge of performance optimisation, latency management, concurrency, and integration considerations. Strong knowledge of networking principles (TCP, UDP, multicast) and experience designing for resilience, throughput, and low-latency data distribution. Expertise in distributed computing and system architectures, including microservices and high-throughput, low-latency systems. Strong knowledge of data architecture and database design, with experience across … class. Strong business and technical understanding of exchange-based order book methodologies such as CLOB, auctions, dark trading, pegged orders and more. Familiarity with FIX trading protocol and market data systems. Experience working in a highly regulated environment. More ❯

technology platforms. You’ll be at the heart of a multi-disciplinary team driving innovation and change across the organisation. Key Responsibilities Define and own end-to-end solution architecture across multiple workstreams Collaborate with delivery teams, stakeholders, and vendors to ensure alignment with business goals Lead the transition from legacy platforms to modern cloud-based ecosystems Ensure architectural … Azure, AWS, or GCP), microservices, APIs, and DevOps practices. Ability to translate complex business requirements into robust technical solutions Excellent stakeholder engagement and communication skills Experience with enterprise integration, data architecture, and security frameworks More ❯

with Experience Cloud, Sales Cloud & Marketing Cloud (desirable). Proven experience with CI/CD tools, version control systems (e.g. GitHub), and structured deployment processes. Solid understanding of Salesforce data architecture, platform constraints, and security model. More ❯

and example rather than line management. What You'll Do Solve Complicated Problems: Tackle some of the most difficult challenges in fintech, such as increasing the reliability of core data and solving problems at scale. Provide Technical Direction: Lead through influence by setting the technical direction and providing guidance on system and data architecture. Mentor the Team: Support More ❯