151 to 175 of 325 Data Modelling Jobs in the City of London

recognised brands and continues to expand its international presence. The Role They are looking for an Analytics Engineer to take ownership of their BI tool and help foster a data-driven culture across the organisation. Key Responsibilities: Act as one of the primary owners of Looker (or equivalent BI platform) Collaborate with Data Analysts to build and maintain … dashboards Work closely with Data Engineers to organise data effectively for analytics Enable stakeholders across the business to self-serve and make data-driven decisions Create and maintain Looker dashboards, explores, and data models Gather business requirements and bridge communication between data and business teams Manage BI user access, folder structure, and permissions Define best … and governance standards for BI usage Requirements: Degree in Computer Science, Engineering, or a related field (or equivalent experience) 3+ years of experience as a BI Developer, Analytics Engineer, Data Visualisation Specialist, or similar Strong SQL skills with experience optimising queries Hands-on experience with Looker (or similar tools such as Tableau, Power BI, or QlikView) Experience in data More ❯

recognised brands and continues to expand its international presence. The Role They are looking for an Analytics Engineer to take ownership of their BI tool and help foster a data-driven culture across the organisation. Key Responsibilities: Act as one of the primary owners of Looker (or equivalent BI platform) Collaborate with Data Analysts to build and maintain … dashboards Work closely with Data Engineers to organise data effectively for analytics Enable stakeholders across the business to self-serve and make data-driven decisions Create and maintain Looker dashboards, explores, and data models Gather business requirements and bridge communication between data and business teams Manage BI user access, folder structure, and permissions Define best … and governance standards for BI usage Requirements: Degree in Computer Science, Engineering, or a related field (or equivalent experience) 3+ years of experience as a BI Developer, Analytics Engineer, Data Visualisation Specialist, or similar Strong SQL skills with experience optimising queries Hands-on experience with Looker (or similar tools such as Tableau, Power BI, or QlikView) Experience in data More ❯

properly and seeing your work make a visible impact, you’ll like this one. You’ll join a growing consumer app that helps millions of people each month, where data actually drives every product decision. The team moves fast, values ownership, and is looking for someone who wants to build clean, scalable data systems that others rely on … daily. You’ll take charge of the data platform - designing pipelines, connecting systems, and making sure everyone across the company can trust and use the data with confidence. You won’t be stuck doing endless ad hoc reports. You’ll build the foundations that make analysis and experimentation effortless for everyone else. What you’ll do Design, build … and maintain data pipelines and orchestration (Airflow, dbt, BigQuery) Integrate and manage data from multiple SaaS platforms (e.g. GA4, AppsFlyer, Stripe, PostHog) Build reliable infrastructure for analytics, growth, and product teams Improve data quality, observability, and scalability across the platform Enable self-serve insights through well-structured models and documentation What you’ll bring 4+ years’ experience More ❯

properly and seeing your work make a visible impact, you’ll like this one. You’ll join a growing consumer app that helps millions of people each month, where data actually drives every product decision. The team moves fast, values ownership, and is looking for someone who wants to build clean, scalable data systems that others rely on … daily. You’ll take charge of the data platform - designing pipelines, connecting systems, and making sure everyone across the company can trust and use the data with confidence. You won’t be stuck doing endless ad hoc reports. You’ll build the foundations that make analysis and experimentation effortless for everyone else. What you’ll do Design, build … and maintain data pipelines and orchestration (Airflow, dbt, BigQuery) Integrate and manage data from multiple SaaS platforms (e.g. GA4, AppsFlyer, Stripe, PostHog) Build reliable infrastructure for analytics, growth, and product teams Improve data quality, observability, and scalability across the platform Enable self-serve insights through well-structured models and documentation What you’ll bring 4+ years’ experience More ❯

us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing … and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business stakeholders … to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in data More ❯

us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing … and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business stakeholders … to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in data More ❯

control. The Role This is a fantastic opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a Senior Data Engineer with strong technical expertise in Databricks , data engineering , and cloud-native analytics platforms . You will contribute to the development and expansion of our global analytics platform … supporting Front Office Trading across commodities—by building scalable, secure, and efficient data solutions. You will work alongside data scientists, ML engineers, and business stakeholders to understand requirements, design and build robust data pipelines, and deliver end-to-end analytics and ML/AI capabilities. Key Responsibilities Design, build, and maintain scalable data pipelines and Delta … Lake architectures in Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready datasets and support the development of production-grade ML/AI pipelines. Implement and maintain CI/CD pipelines, testing frameworks, and observability More ❯

control. The Role This is a fantastic opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a Senior Data Engineer with strong technical expertise in Databricks , data engineering , and cloud-native analytics platforms . You will contribute to the development and expansion of our global analytics platform … supporting Front Office Trading across commodities—by building scalable, secure, and efficient data solutions. You will work alongside data scientists, ML engineers, and business stakeholders to understand requirements, design and build robust data pipelines, and deliver end-to-end analytics and ML/AI capabilities. Key Responsibilities Design, build, and maintain scalable data pipelines and Delta … Lake architectures in Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready datasets and support the development of production-grade ML/AI pipelines. Implement and maintain CI/CD pipelines, testing frameworks, and observability More ❯

Enterprise Data Architect – Global Consumer Business – London (2-3 days in NW London) - Up to 112k + bonus + Benefits A global leader in consumer services is seeking an experienced Enterprise Data Architect to lead strategic data initiatives and shape enterprise-wide data architecture. This organisation operates across multiple countries and specialises in delivering high-quality … customer experiences in fast-paced environments. Key Responsibilities: Develop and maintain enterprise data architecture strategy Design conceptual, logical, and physical data models Define and enforce data standards, policies, and governance Collaborate across IT, business, and data teams Lead horizon scanning and strategic planning Mentor and guide architecture teams Requirements: 5+ years in senior architecture roles, 3+ … years as an enterprise architect Experience in consumer-facing sectors such as retail, hospitality or food services TOGAF or similar architecture framework qualification Deep knowledge of modern data architectures (Data Mesh, Fabric, Virtualisation) Strong stakeholder engagement and mentoring skills Location: London (Hybrid – 2 to 3 days per week onsite) If you're looking to shape the future of More ❯

Enterprise Data Architect – Global Consumer Business – London (2-3 days in NW London) - Up to 112k + bonus + Benefits A global leader in consumer services is seeking an experienced Enterprise Data Architect to lead strategic data initiatives and shape enterprise-wide data architecture. This organisation operates across multiple countries and specialises in delivering high-quality … customer experiences in fast-paced environments. Key Responsibilities: Develop and maintain enterprise data architecture strategy Design conceptual, logical, and physical data models Define and enforce data standards, policies, and governance Collaborate across IT, business, and data teams Lead horizon scanning and strategic planning Mentor and guide architecture teams Requirements: 5+ years in senior architecture roles, 3+ … years as an enterprise architect Experience in consumer-facing sectors such as retail, hospitality or food services TOGAF or similar architecture framework qualification Deep knowledge of modern data architectures (Data Mesh, Fabric, Virtualisation) Strong stakeholder engagement and mentoring skills Location: London (Hybrid – 2 to 3 days per week onsite) If you're looking to shape the future of More ❯

A leading crypto market-making and trading firm is seeking a Senior Data Engineer/Data Architect with strong financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll … work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and infrastructure. Key Responsibilities Design and evolve core data models covering trade, market, pricing, risk and finance data across streaming, lake/lakehouse and warehouse environments. Build and maintain streaming and batch pipelines to capture … reconcile and deliver trusted market and trading datasets. Implement data quality, governance, lineage and access controls with defined SLAs and data contracts. Manage cloud-based data storage and processing (AWS preferred), optimizing for cost, performance and scalability. Collaborate with stakeholders across multiple business areas to deliver cohesive, production-grade data products. Requirements 8+ years’ experience in More ❯

A leading crypto market-making and trading firm is seeking a Senior Data Engineer/Data Architect with strong financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll … work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and infrastructure. Key Responsibilities Design and evolve core data models covering trade, market, pricing, risk and finance data across streaming, lake/lakehouse and warehouse environments. Build and maintain streaming and batch pipelines to capture … reconcile and deliver trusted market and trading datasets. Implement data quality, governance, lineage and access controls with defined SLAs and data contracts. Manage cloud-based data storage and processing (AWS preferred), optimizing for cost, performance and scalability. Collaborate with stakeholders across multiple business areas to deliver cohesive, production-grade data products. Requirements 8+ years’ experience in More ❯

to be partnering with a leading force in the UK Government & Defence space to help build a high-impact team delivering one of the most sensitive and strategically important data programmes in the country. We’re seeking SC/DV Cleared Palantir Engineers who are driven by purpose, thrive in secure environments, and want to work on real-world … Doing You’ll be embedded in a fast-paced, mission-led programme where your work directly supports UK Government operations. Day-to-day, you’ll: ⚙️ Build and maintain scalable data pipelines within Palantir Foundry or Gotham 🔄 Ingest, transform, and integrate both structured and unstructured sensitive data sources 🔐 Enable secure access control, data modelling, and operational logic … within highly classified environments 🤝 Collaborate with multidisciplinary teams of analysts, engineers, and delivery experts to design secure, data-driven solutions 🚀 Contribute to a long-term agile delivery roadmap for mission-critical national programmes 🧠 What We're Looking For We're interested in engineers who are motivated by impact , not just tech for tech's sake. You should have: ✅ Proven More ❯

to be partnering with a leading force in the UK Government & Defence space to help build a high-impact team delivering one of the most sensitive and strategically important data programmes in the country. We’re seeking SC/DV Cleared Palantir Engineers who are driven by purpose, thrive in secure environments, and want to work on real-world … Doing You’ll be embedded in a fast-paced, mission-led programme where your work directly supports UK Government operations. Day-to-day, you’ll: ⚙️ Build and maintain scalable data pipelines within Palantir Foundry or Gotham 🔄 Ingest, transform, and integrate both structured and unstructured sensitive data sources 🔐 Enable secure access control, data modelling, and operational logic … within highly classified environments 🤝 Collaborate with multidisciplinary teams of analysts, engineers, and delivery experts to design secure, data-driven solutions 🚀 Contribute to a long-term agile delivery roadmap for mission-critical national programmes 🧠 What We're Looking For We're interested in engineers who are motivated by impact , not just tech for tech's sake. You should have: ✅ Proven More ❯

Exciting Opportunity for a Data Engineering Technical Lead with deep expertise in Azure Databricks to join a Global company on a 12 Month initial Contract. Key Responsibilities: Design, build, and manage large-scale data platforms with a focus on ETL, Data Management, and Data Governance Develop and maintain Databricks Delta Live Tables (DLT) pipelines with strong … emphasis on cost and performance optimisation Implement and manage structured streaming and real-time data processing solutions. Handle and process high volumes of data efficiently within Databricks Translate business requirements into technical delivery plans—including defining PBIs, tasks, and technical design documents Collaborate closely with business stakeholders to understand use cases and deliver high-quality, timely solutions Lead … a technical delivery team of 7–10 members, providing direction, guidance, and support throughout the project lifecycle Ensure best practices are followed in data architecture, governance, and performance tuning Drive continuous improvement in data engineering processes and platform scalability Required Skills & Experience: Proven experience in building multiple large-scale data platforms Deep expertise in Databricks, especially Delta More ❯

Exciting Opportunity for a Data Engineering Technical Lead with deep expertise in Azure Databricks to join a Global company on a 12 Month initial Contract. Key Responsibilities: Design, build, and manage large-scale data platforms with a focus on ETL, Data Management, and Data Governance Develop and maintain Databricks Delta Live Tables (DLT) pipelines with strong … emphasis on cost and performance optimisation Implement and manage structured streaming and real-time data processing solutions. Handle and process high volumes of data efficiently within Databricks Translate business requirements into technical delivery plans—including defining PBIs, tasks, and technical design documents Collaborate closely with business stakeholders to understand use cases and deliver high-quality, timely solutions Lead … a technical delivery team of 7–10 members, providing direction, guidance, and support throughout the project lifecycle Ensure best practices are followed in data architecture, governance, and performance tuning Drive continuous improvement in data engineering processes and platform scalability Required Skills & Experience: Proven experience in building multiple large-scale data platforms Deep expertise in Databricks, especially Delta More ❯

About the Role As a Data Engineer at Futuria, you’ll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. You’ll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that drives performance … and insight across the platform. Key Responsibilities Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows Develop and manage robust data ingestion processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. … Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of Retrieval Augmented Generation (RAG) and agentic architectures. Contribute More ❯

About the Role As a Data Engineer at Futuria, you’ll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. You’ll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that drives performance … and insight across the platform. Key Responsibilities Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows Develop and manage robust data ingestion processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. … Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of Retrieval Augmented Generation (RAG) and agentic architectures. Contribute More ❯

We’re looking for a highly capable and motivated Data Engineer to join a growing data team. This is a pivotal role, leading the migration of a data infrastructure from AWS to Microsoft Azure and shaping the future of their data platform. This role will play a key role in enabling seamless data integration, transformation … and reporting across diverse sources. This is a strategic, hands on opportunity and perfect for someone who loves innovation, embraces change, and enjoys building robust, future-ready data solutions. Lead the migration of data infrastructure from AWS to Azure, defining the roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data. Design … and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting. Modernise and manage databases , ensuring performance More ❯

We’re looking for a highly capable and motivated Data Engineer to join a growing data team. This is a pivotal role, leading the migration of a data infrastructure from AWS to Microsoft Azure and shaping the future of their data platform. This role will play a key role in enabling seamless data integration, transformation … and reporting across diverse sources. This is a strategic, hands on opportunity and perfect for someone who loves innovation, embraces change, and enjoys building robust, future-ready data solutions. Lead the migration of data infrastructure from AWS to Azure, defining the roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data. Design … and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting. Modernise and manage databases , ensuring performance More ❯

Data Solutions Architect - GCP - Permanent - £125k - London Hybrid A global consultancy is hiring a Data Solutions Architect to lead GCP-based data platform modernisation for banking clients. This SAVP-level role blends strategic advisory, architecture, and pre-sales. Location : London (Hybrid) Start : Immediate/ASAP Key Focus : Architect large-scale GCP data platforms (BigQuery, Dataflow, Dataproc … stakeholders and drive innovation. You'll Need : 10+ years in BI/DW/Analytics, including 4+ years in architecture. Hands-on GCP experience and banking domain expertise. Strong data modelling, governance, and stakeholder engagement. More ❯

Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing). Stay up-to-date with ML & NLP research, and experiment with new models and techniques. Perform code-reviews for your colleague’s … profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠 Ability to write clear, robust, and testable code, especially in Python 🐍 Familiarity with SQL and NoSQL/graph databases 🏦 Extensive … systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️ An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢 A healthy sense of humour. APPLY More ❯

Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing). Stay up-to-date with ML & NLP research, and experiment with new models and techniques. Perform code-reviews for your colleague’s … profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠 Ability to write clear, robust, and testable code, especially in Python 🐍 Familiarity with SQL and NoSQL/graph databases 🏦 Extensive … systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️ An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢 A healthy sense of humour. APPLY More ❯

Principal Consultant – Data Science Location: UK-wide (client site travel required) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML … and mathematical modelling techniques to drive measurable business outcomes. This role is ideal for someone who thrives in client-facing environments, enjoys shaping data science solutions from idea to implementation, and is comfortable leading both technically and commercially. Key Responsibilities Lead and deliver complex data science and AI engagements , from proof of concept (POC) through MVP , alpha … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical leadership and More ❯

Principal Consultant – Data Science Location: UK-wide (client site travel required) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML … and mathematical modelling techniques to drive measurable business outcomes. This role is ideal for someone who thrives in client-facing environments, enjoys shaping data science solutions from idea to implementation, and is comfortable leading both technically and commercially. Key Responsibilities Lead and deliver complex data science and AI engagements , from proof of concept (POC) through MVP , alpha … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical leadership and More ❯