101 to 125 of 230 Data Modelling Jobs in Central London

Overview We’re seeking a highly experienced Data Architect to lead the design and delivery of enterprise-scale data architecture initiatives. You will define data strategy, shape the roadmap, and enable the delivery and consumption of scalable data products, all while advising senior stakeholders and guiding the transition to Google Cloud Platform (GCP) services. This is … a key role in driving a modern data ecosystem for a large organisation undergoing digital and cloud transformation. Experience in migrating from legacy data warehouses to cloud-native architectures will be highly advantageous. Key Responsibilities Define and own the enterprise data strategy and architecture roadmap , aligning it with business priorities and digital transformation goals. Architect and oversee … the implementation of data platforms and products using GCP services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage). Guide the migration of legacy data warehouses to GCP, ensuring minimal disruption and future scalability. Work closely with senior stakeholders across business and technology functions to translate needs into actionable data architecture solutions. Ensure robust data governance More ❯

A leading, technology-focused, multi-strategy Hedge Fund are seeking a Senior Data Engineer (Front Office) to join their innovative and highly experienced team Essential Skills: 5+ years of experience with a proven track records of building data platforms Expert-level Python and SQL skills (C++ experience is a plus, but not essential) Interest in contributing to Cloud … culture, merging technology and research to solve some of the most complex challenges and deliver high-quality returns. This flexible role (2 days WFH) involves building and supporting bespoke data solutions for Quants and Traders, and developing a scalable, global Data Lakehouse used by multiple trading desks. You’ll design and implement data pipelines in Python within … an AWS cloud environment, working on data modelling for large-scale Data Lake and OLAP systems. Key responsibilities will include optimising performance in cross-region setups, ensuring data completeness and quality, and contributing to the software and infrastructure design. This intellectually stimulating and fast-paced role provides a unique opportunity to work at the heart of More ❯

Job Description : Role – Senior Cloud Data Architect Technology – Azure, Aws, DataMesh Location – London, UK Job Description: Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to … are upheld only because of our people. Your Role Required: •Proficiency in information architecture principles and best practices - knows about industry standards •Experience with domain driven design and decentralized data ownership (Data Mesh) •Proficiency in Azure and AWS data services •Ability to define data strategy and work with customer architects to execute the same •Ability to … understand the functional requirements and build tech specs accordingly •Build data models, database development standards, and data analytics systems •Experience with data integration and data governance is essential. •Strategic thinking: Ability to understand Customer goals and ambitions •Collaboration/Communication Preferred (Not Mandatory) •Banking Domain knowledge will be an added advantage Overview Infosys is a global More ❯

Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems to … deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. • Build and maintain end-to-end ML pipelines, including data preprocessing, model training, deployment, and monitoring. • Work closely with cross-functional teams to integrate ML models into our SaaS platform for PAI and OSINT investigations. Data Engineering • Develop … maintain, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data. • Ensure data quality, consistency, and availability to support ML workflows. • Work with ELT processes and implement Medallion (Bronze/Silver/Gold) architecture to structure and optimize data transformation. • Align data infrastructure with business needs and product strategy for PAI and More ❯

initial 3 month contract. The successful PowerBI Developer will work with a variety of business units to develop scalable and maintainable PowerBI dashboards. You'll design, build and test data models in Azure Synapse and PowerBI to ensure their use for effective analysis and decision-making. You must show: Strong PowerBI and Azure Synapse skills, with experience of designing … and building complex dashboards and data models optimised for reporting purposes (including the creation and maintenance of semantic models and database views to support analytics in Power BI A strong track record of data modelling and query optimisation within Power BI Advanced SQL skills Excellent stakeholder engagement and communication skills This is a fantastic opportunity to join … a strong Data & AI function. Please apply now for further information. More ❯

to join a fast-paced, trend-led fashion business with a strong presence across major UK retail channels. The successful candidate will play a key role in shaping how data drives commercial decision-making across trading, pricing, and supply chain operations. The Trading Analytics Engineer will be responsible for designing, building, and scaling data solutions to support the … business’s commercial and trading functions. The role sits at the intersection of data engineering, analytics, and commercial strategy — ideal for someone who thrives on translating complex data into actionable insights. Key Responsibilities Build and maintain robust data pipelines to support trading, pricing, and product availability decisions Develop and maintain data models that provide meaningful insight … high-impact dashboards and reporting tools Use SQL and Python (or a similar language) to automate processes and improve reporting efficiency Apply commercial thinking to interpret trends and performance data, helping to guide strategic decisions Ensure high standards of data accuracy and consistency across all reporting sources Conduct ad hoc analysis to support trading initiatives and category performance More ❯

Test Lead Location: London (3 days/week from office) Employment Type: 3 months contract initial Key Skills: ETL Testing Daily Rate: £250 per day (inside IR35) As a Data Test Engineer/ETL tester you would be responsible for validating data sources, extracting data applications of transformation logic, and uploading data in target tables. You … would be responsible for designing, testing, and troubleshooting the company's data storage system before it goes live. Knowledge of dimensional modeling and data warehouse concepts, such as star schemas, snowflakes, dimensions, facts Define scope, execution plans, and coordinate test activities Ensure all sign-offs on deliverables (overall test strategy, test plan, test cases, ) and that testing meets … Responsible for ensuring the quality of their work the work of the entire development team Strong experience in of the following technologies preferred -SQL, PYTHON, JavaScript, Java Participate in data conversion Testing and data maintenance, authoring SQL queries to fetch the data between various databases, execute them and analyze the data Create SIT test cases/ More ❯

closely with product, design, and DevOps teams to deliver new features and improve existing systems Write clean, well-documented, and testable code Manage and optimise SQL/PostgreSQL queries, data models, and migrations Ensure high standards of data security, compliance, and performance in financial applications Troubleshoot and debug production issues Participate in code reviews, sprint planning, and technical … with SQL and/or PostgreSQL, including performance tuning and complex queries Prior experience in the FinTech industry is required Familiarity with RESTful API design and integration Understanding of data privacy, security standards, and regulatory compliance relevant to FinTech Experience with version control systems like Git Good communication skills and ability to work in cross-functional teams Experience with More ❯

ACC) as a central governance, coordination, and support function across all airlines within the Group currently operating AMOS. The role will drive strategic alignment of AMOS functionalities, processes, and data structures while maintaining respect for the operational independence of each airline. By enhancing collaboration and harmonisation, the Group AMOS Competence Centre will improve efficiency, enable reliable Group-level insight … central governance, strategy, and support function for AMOS across all Group airlines using the platform. Define and deliver a Group-wide AMOS strategy , balancing harmonisation of processes, configurations, and data models with respect for operational autonomy at OpCo level. Drive the implementation of AMOS-by-Design best practices as recommended by Swiss-AS, ensuring optimal process design and standardisation … assess, and define optimum AMOS-enabled business processes , including the specification of customisations and interfaces necessary for smooth transitions from legacy or fragmented workflows. Reduce or eliminate non-AMOS data silos and control files, improving system integrity, traceability, and user experience. Design and maintain a Group AMOS Core Model , acting as a reference architecture for process, configuration, and integration More ❯

Data Warehouse, Consultant – London We are seeking a seasoned Data Warehouse, ETL & Data Modelling Specialist to join our client in London. This SME-level role involves designing and maintaining scalable ETL/ELT pipelines, ensuring data quality, and developing logical and conceptual data models. You’ll be a key liaison between development teams and … data storage, enforcing governance and quality standards. Key Responsibilities Design and optimize ETL/ELT processes Ensure data integrity, accuracy, and governance Develop data models supporting business needs Collaborate with developers, analysts, and architects Conduct peer code reviews and ensure best practices Requirements 5+ years in data engineering/warehousing Expertise in ETL tools (SQL, Python … dbt, etc.) Strong data modelling and governance skills Solid relational database experience Excellent communication and stakeholder management skills This is a hands-on role for a data expert passionate about quality and architecture. More ❯

Graduate Data Analyst – Financial & Legal Data Modelling £25,000–£35,000 + Bonus | Full-time | Central London (Office-based) Location: London (Zone 1 – near Charing Cross) Sector: Analytics | Commercial Disputes | Legal Data | Graduate Roles We’re working exclusively with a high-performing boutique analytics consultancy that supports legal teams in major commercial disputes. They’re now … hiring a Graduate Data Analyst to join their expert team and play a key role in quantifying financial losses , analysing large datasets, and helping deliver evidence-based reports for high-profile cases. This is a unique opportunity for a numerically gifted graduate to launch their career in an intellectually stimulating and genuinely commercial role. Combining elements of data science, statistical modelling, and financial analytics. 🧠 What you’ll be working on: Reviewing incomplete, inconsistent datasets and making assumptions to fill data gaps Preparing clear, auditable Excel-based reports to support financial claims Writing compelling client-facing reports that communicate your analysis effectively Collaborating with external parties including law firms, suppliers, and data providers Using Excel More ❯

Are you a data-driven leader ready to make an impact at a global scale? We’re looking for a hands-on, business-facing Data Platforms & Insights Lead to drive the development and delivery of analytics and reporting capabilities across a high-profile media organisation. In this role, you’ll take ownership of data platforms, reporting tools … and insight generation—translating business needs into powerful dashboards and data solutions. You’ll lead the delivery of structured, actionable intelligence that supports decision-making across content, sales, licensing, and customer engagement. We’re seeking someone who thrives in a fast-moving, data-rich environment. You’ll work across technical and business teams, shaping roadmaps, managing data assets, and delivering user-friendly insights with real business value. You'll also provide leadership to data engineers and analysts, ensuring work aligns with business priorities and delivers measurable impact. What You’ll Bring Strong experience in data analytics, data modelling, and reporting delivery. Proficiency in SQL and data preparation tools (Python or similar More ❯

Key Responsibilities Design and implement real-time data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming. Develop and maintain event schemas using Avro, Protobuf, or JSON Schema. Collaborate with backend teams to integrate event-driven microservices. Ensure data quality, lineage, and observability across streaming systems. Optimize performance and scalability of streaming applications. Implement CI/… CD pipelines for data infrastructure. Monitor and troubleshoot production data flows and streaming jobs. Required Skills & Qualifications 3+ years of experience in data engineering or backend development. Strong programming skills in Python, Java, or Scala. Hands-on experience with Kafka, Kinesis, or similar messaging systems. Familiarity with stream processing frameworks like Flink, Kafka Streams, or Spark Structured … Streaming. Solid understanding of event-driven design patterns (e.g., event sourcing, CQRS). Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools. Knowledge of data modeling, schema evolution, and serialization formats. More ❯

Data Engineer (Tech for Good) Hybrid – London Office & Home-Based Up to £68,000 per annum Are you a skilled data engineer looking to make a real-world impact? Join a fast-growing tech-for-good company using data to drive positive change for people and the planet. We’re looking for a mid-level Data Engineer with 3–4 years of experience to help shape and scale our data platform, supporting socially responsible projects across the organisation. Your Role: Develop and maintain cloud-based data pipelines (real-time & batch) Design data models and ETL/ELT processes using AWS, Snowflake, etc. Collaborate across technical and non-technical teams Troubleshoot issues and … platform What You’ll Bring: Proficiency in Python, PySpark, Spark SQL or Java Experience with cloud tools (Lambda, S3, EKS, IAM) Knowledge of Docker, Terraform, GitHub Actions Understanding of data quality frameworks Strong communicator and team player What We Offer: Career growth through training, mentoring, and development A collaborative and inclusive team culture Purpose-driven work with meaningful impact More ❯

their business needs and requirements, and translate them into clear and concise business requirements to be built by the engineering team Create technical specifications, feed specifications, API specification and data models Experience in data migration, transformation, ETL processes and API’s Create as-is and to-be state dataflows using UML’s or data flow diagrams Create … source to target mapping including transformation logic/business rules for complex scenarios SQL skills and experience with relational databases Experience in improving the data quality through profiling and rule implementation. Ability to measure improvements in quality and identify the value that delivers Understanding of data controls (data lineage, data retention, remediation, quality, management etc.,) Experience … working in agile teams and familiarity with scrum ceremonies Ability to communicate complex data finding clearly to both technical and non-technical stakeholders User stories - Creation, capturing acceptance criteria, validating Functional Test scenarios in JIRA & experience using Confluence Experience in leveraging Data led Customer transformation Experience in Banking domain More ❯

Data Engineer – Paddington/Hybrid This is a project-based transformation role that is currently expected to end on 31st December 2026. 📍 London-based with hybrid flexibility | 🐾 Help build the future of pet care at Mars We’re looking for a skilled Data Engineer to join our Pet Nutrition Digital team. You'll help us build a scalable … data-driven ecosystem that powers innovation across some of the world’s best-loved brands — and improves life for pets and pet owners everywhere. Join us on a multi-year digital transformation journey where your work will unlock real impact. 🌟 What you'll do Build robust data pipelines using Python, PySpark, and cloud-native tools Engineer scalable data … to deliver insights Drive agile DevOps practices and continuous improvement Stay curious, keep learning, and help shape our digital platforms 🧠 What we’re looking for Proven experience as a Data Engineer in cloud environments (Azure ideal) Proficiency in Python, SQL, Spark, Databricks Familiarity with Hadoop, NoSQL, Delta Lake Bonus: Azure Functions, Logic Apps, Django, CI/CD tools 💼 What More ❯

Director — Enterprise Data Architecture & Governance Base c. £140-175k + bonus and LTIP (flexible for the right hire) 35 days leave │ 14 % pension │ full family healthcare Purpose Establish and scale a single enterprise data backbone for a global retail-investing and pensions platform (~£400 bn AUA), enabling regulatory-grade lineage, real-time analytics, and API-driven product … innovation. You will be tasked with the front, middle and back-office solution, defining the interactions, integration and data model transformation. Candidate with no Investment or Asset Management experience are not being considered for this role at this time. 12-Month Success Metrics Publish an enterprise-wide canonical data model covering custody, wrappers, trading, and digital touchpoints. Stand … as-code controls delivering automated Consumer Duty & CASS MI. Migrate 60 % of legacy ETL into an event-stream/Snowflake lakehouse pattern, cutting report latency to < 60 sec. Embed data-product operating model across UK & India hubs; uplift data-literacy score by 25 %. Core Accountabilities Architecture & Design Authority : Define reference architectures, patterns, and guardrails for data More ❯

Principal Data Engineer Hybrid - London – weekly office visit We’re working with a cutting-edge SaaS business that's revolutionising how organisations integrate systems, manage data, and deliver insights. This high-growth, product-led company offers a game-changing, AI-powered platform that’s driving digital transformation for global clients. The organisation are known for their incredible culture … and have won multiple awards for their approach to high achieving professionalism balanced with a great work-life balance. About the Role We’re looking for a Principal Data Engineer to join a highly skilled team focused on delivering next-gen, data-driven solutions across complex enterprise environments. We’re looking to a Principal Technical Contributor who can … company’s Product internally, while also listening to and tailoring for clients. You’ll act as a platform superuser and thought leader, responsible for designing and delivering modular, reusable data architecture components that accelerate implementation and drive value for customers. This is a key opportunity to influence the development of industry-specific solutions for use by clients, implementation partners More ❯

Principal Data Architect Hybrid - London – weekly office visit We’re working with a cutting-edge SaaS business that's revolutionising how organisations integrate systems, manage data, and deliver insights. This high-growth, product-led company offers a game-changing, AI-powered platform that’s driving digital transformation for global clients. The organisation are known for their incredible culture … and have won multiple awards for their approach to high achieving professionalism balanced with a great work-life balance. About the Role We’re looking for a Principal Data Architect to join a highly skilled team focused on delivering next-gen, data-driven solutions across complex enterprise environments. We’re looking to a Principal Technical Contributor who can … company’s Product internally, while also listening to and tailoring for clients. You’ll act as a platform superuser and thought leader, responsible for designing and delivering modular, reusable data architecture components that accelerate implementation and drive value for customers. This is a key opportunity to influence the development of industry-specific solutions for use by clients, implementation partners More ❯

Senior Analytics Engineer - £80,000+ 🚨 Cognify have partnered with a fast-growing SaaS platform as they continue to expand their data team following a consistent run of success 🚀 With offices across the UK, US & Australia, they are now looking to bolster the London team with the addition of another Senior Analytics Engineer. This role is for a talented all … Check out the details below! 💰 Salary: £80,000 🚀 Industry/Type of business: SaaS platform 🏠 Remote working: 2 days WFH 🧩 Interview process: 3 stages 👏 Company size: ~40 🎯 Working on: Data modelling, transformation, data warehousing, data wrangling - with a small element of statistics & forecasting. What are we looking for? Experience modelling in the data warehouse … multi-step SQL, data wrangling The ability to solve ambiguous challenges with data The ability to communicate with clients & identify needs An understanding of data in relation to dynamic pricing, revenue operations & management, demand forecasting, competitor analysis etc. would be useful! SQL, Python, Cloud (GCP, Azure, AWS or Snowflake), Airflow/dbt etc. Interested in hearing more More ❯

waves in the industry. The role is paying up to £95,000 + benefits We are looking for: Deep understanding of Financial Services (FS) Deep expertise in the full data engineering lifecycle—from data ingestion through to end-user consumption Practical experience with modern data tools and platforms, including Redshift, Airflow, Python, DBT, MongoDB, AWS, Looker, and … Docker Strong grasp of best practices in data modelling, transformation, and orchestration Proven ability to build and support both internal analytics solutions and external-facing data products Solid understanding of Agile methodologies (Scrum, Kanban) and modern software development workflows Skilled in using CI/CD pipelines, infrastructure-as-code, and scalable cloud-based data infrastructure Knowledgeable … in data governance, privacy regulations, etc Experienced in leveraging metrics and observability tools to ensure platform reliability and team performance In this role, your focus on technology innovation and excellence will be paramount to our success. Are you ready to join us on this exciting journey and make your mark on the future of our industry More ❯

market dominating financial services company who have played a successful role in their space for decades. They are looking for a Product Owner who has a strong background in Data Products within an Agile environment. Job Responsibilities as the Product Owner: Lead the development and rollout of data products that provide reliable and high-quality data to … support analytics, machine learning, and personalised customer experiences. Collaborate across departments, including marketing, operations and others to design data solutions. Act as the point of coordination between stakeholders, data professionals, engineers, and governance teams, managing the roadmap and continuously delivering the objectives. Communicate business needs into a prioritised backlog for delivery teams, ensuring solutions are aligned with the … vision of the business. We are looking for: Experience as a Product Owner, Product Manager or Agile BA. Proven experience overseeing data products or platforms, particularly customer data platforms. Understanding of ETL/ELT workflows, APIs, data modelling, and pipeline development. Using analytics and BI tools to drive product decisions. Tableau, Power BI and Looker are More ❯

mitigate any issues. Responsibilities : · End-to-End Billing Implementation Leadership: Has led complex billing transformation or implementation projects across multiple business units, integrating product, finance, and technical domains. · Technical & Data Architecture Acumen: Deep understanding of data modelling, systems integration, and platform architecture. Able to anticipate technical dependencies and ensure alignment with enterprise architecture principles. · Product Management & Delivery … at working across product, engineering, finance, and analytics teams. Provides directional clarity, coaches team members, and fosters a collaborative delivery environment. Experience: 10-16 years of Project Manager experience- Data ( SQL, DBT More ❯

The work involves improving how payments are processed and managed across a large-scale financial environment, helping to modernise legacy systems and support broader financial inclusion. Requirements: Business Process Modelling: Ability to create models that represent business processes, workflows, and systems utilising the BPMN notation and Visio. Outputs Required : Process Models compliant with BPMN and created in Visio at … Outputs Required: Business and Solution requirements utilising templates for BRDs, User stories, use cases etc. These will be tracked and managed in Jira. Analytical Thinking : Ability to analyse complex data and business processes to identify trends, issues, and opportunities. Data Analysis : Experiencing in using data analysis tools and techniques to extract meaningful insights. Outputs Required: Data Mapping, Data Models utilising financial standards and templates. Communication Skills : Proficiency in conveying ideas clearly and effectively to stakeholders, both verbally and in writing. Problem-Solving : Aptitude for identifying problems and developing innovative solutions. Stakeholder Management: Ability to manage relationships with stakeholders at all levels, ensuring their needs and expectations are met. Adaptability : Flexibility to adjust to changing More ❯

approaches: with FintechOS, banks, insurance providers, and companies can get up and running with new financial solutions in as little as 12 weeks. Unlike other financial technologies, FintechOS breaks data free from the core, enabling the creation of personalized and differentiated products and customer journeys at scale. FintechOS is a cloud-native platform that connects with any ecosystem tech … and ensuring the successful delivery of solutions. Provide guidance on best practices for adopting the FintechOS platform for insurance solutions , ensuring adherence to architectural standards and industry regulations. Design data models and integration approaches to ensure data consistency, quality, and security across insurance systems (e.g., claims processing, policy management, underwriting). Conduct customer-focused presentations and technical product … and development frameworks (e.g., Node.js, Java, C#, Python, Go, etc.). Familiarity with insurance regulatory requirements (e.g., Solvency II, IFRS 17) and how they impact technology solutions. Experience with data integration, modelling, and governance for insurance-specific systems. Ability to distill key technical challenges from business requirements and outline possible solutions. Hands-on experience in client-facing roles More ❯