151 to 175 of 719 Data Modelling Jobs in London

Data Architect Location: Hybrid - London (2-3 days onsite) Type: Permanent Industry: Data Consultancy Salary: Competitive + Benefits The Opportunity Our client, a growing data consultancy with deep expertise in the Microsoft Azure ecosystem, is looking for a Data Architect to join their high-performing team. This role is both strategic and hands-on, focused on … designing modern, scalable, and secure data platforms for enterprise clients. You'll play a key role in shaping data architecture across the full Azure stack- including Azure Databricks and Azure Data Factory (ADF) -and will guide engineering teams in delivering robust, future-proof solutions using lakehouse and medallion architecture principles . Key Responsibilities Design end-to-end … data architectures using Azure services, including Azure Databricks, ADF, Synapse Analytics , and Data Lake Storage Define scalable data models and implement architectural patterns such as lakehouse and medallion Lead technical solution design during client engagements, from discovery to delivery Establish and enforce data governance, modelling, and lifecycle standards Support engineering and DevOps teams with guidance More ❯

Firstminute Capital, Slow Ventures (Sam Lessin), Helios Partners (Souleymane Ba), Crossbeam Ventures (Ali Hamed), Nikesh Arora, Samih Toukan, and many other context-specific angels The Role As a Senior Data Engineer, you will create components of a modern data platform that will be the foundation of Taptap Send's decision-making ability. The systems you help create and … to the success of TTS. You will play a critical part in the functioning of every team, with stakeholders ranging from customer success, growth, markets, product, and finance. The Data Engineer will be implementing critical data pipelines, and innovating and improving infrastructure to support these pipelines while advancing best practices in privacy and data and information security. … Responsibilities Apply automation mindset and DevSecOps principles to data systems and architectures Integrate with APIs of 3rd party data sets to enable data pipelines and reporting use cases Build data systems and pipelines using SaaS systems like AWS and DBT Cloud Build solutions to various business objectives using your technical skills and your extensive understanding of More ❯

Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for data extraction, transformation … and loading in Snowflake. Orchestrate and schedule data workflows using Apache Airflow, including developing custom Python operators and DAGs. Write efficient and maintainable Python scripts for data processing, automation, and integration with various data sources and APIs. Ensure data quality, integrity, and governance throughout the data lifecycle. Collaborate with data analysts, data scientists … and business stakeholders to understand requirements and deliver data solutions. Implement and maintain CI/CD pipelines for data engineering processes, including version control with Git. Monitor data pipelines, troubleshoot issues, and optimize performance for efficiency and cost-effectiveness. Qualifications: Strong proficiency in SQL, particularly with Snowflake's features and functionalities. Extensive experience with dbt for data More ❯

Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for data extraction, transformation … and loading in Snowflake. Orchestrate and schedule data workflows using Apache Airflow, including developing custom Python operators and DAGs. Write efficient and maintainable Python scripts for data processing, automation, and integration with various data sources and APIs. Ensure data quality, integrity, and governance throughout the data lifecycle. Collaborate with data analysts, data scientists … and business stakeholders to understand requirements and deliver data solutions. Implement and maintain CI/CD pipelines for data engineering processes, including version control with Git. Monitor data pipelines, troubleshoot issues, and optimize performance for efficiency and cost-effectiveness. Qualifications: Strong proficiency in SQL, particularly with Snowflake's features and functionalities. Extensive experience with dbt for data More ❯

Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for data extraction, transformation … and loading in Snowflake. Orchestrate and schedule data workflows using Apache Airflow, including developing custom Python operators and DAGs. Write efficient and maintainable Python scripts for data processing, automation, and integration with various data sources and APIs. Ensure data quality, integrity, and governance throughout the data lifecycle. Collaborate with data analysts, data scientists … and business stakeholders to understand requirements and deliver data solutions. Implement and maintain CI/CD pipelines for data engineering processes, including version control with Git. Monitor data pipelines, troubleshoot issues, and optimize performance for efficiency and cost-effectiveness. Qualifications: Strong proficiency in SQL, particularly with Snowflake's features and functionalities. Extensive experience with dbt for data More ❯

Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for data extraction, transformation … and loading in Snowflake. Orchestrate and schedule data workflows using Apache Airflow, including developing custom Python operators and DAGs. Write efficient and maintainable Python scripts for data processing, automation, and integration with various data sources and APIs. Ensure data quality, integrity, and governance throughout the data lifecycle. Collaborate with data analysts, data scientists … and business stakeholders to understand requirements and deliver data solutions. Implement and maintain CI/CD pipelines for data engineering processes, including version control with Git. Monitor data pipelines, troubleshoot issues, and optimize performance for efficiency and cost-effectiveness. Qualifications: Strong proficiency in SQL, particularly with Snowflake's features and functionalities. Extensive experience with dbt for data More ❯

The RoleWe are working with a leading organisation who are looking for a Data Architect to support the migration of Finance and HR systems into Workday. This role will be pivotal in shaping the data strategy, ensuring robust architecture, governance, and scalability while supporting the transition to new tooling. You will play a hands-on role in designing … migrating, and implementing data architecture solutions, while also shaping the data operating model for long-term adoption. This is an excellent opportunity to join a high-profile programme and work with senior stakeholders across Finance, HR, and technology. Key Responsibilities Oversee the migration of Finance and HR data into Workday Develop and maintain the overall data architecture strategy Design and implement scalable cloud-based data architecture solutions Collaborate with stakeholders to understand requirements and translate them into data models and processes Integrate data systems using modern cloud tech stacks and tooling Establish strong governance, security, and quality standards Define and implement a data management framework and operating model Drive the evolution More ❯

A leading business technology provider is undergoing a major enterprise-wide transformation - and they're looking for a Senior Business Analyst to help shape the future of their data and technology landscape. The role can be hybrid for candidates who live close to Brighton, or remote for those who live further afield, with some occasional travel to the Brighton … office for team meetings (expenses-paid). This is a new role, with a primary focus on a major data transformation project - the aim is to transition the business from its current landscape of bespoke, custom-built systems to more modern, streamlined solutions - such as the implementation of ServiceNow and a new Snowflake data warehouse. Due to the … technical nature of the role, we're looking for a Business Analyst with a strong understanding of data structures and data modelling, and hands-on skills in SQL would be a real advantage. Key responsibilities will include: Leading impact assessments of proposed data model changes across a complex systems landscape Analysing dependencies between legacy in-house More ❯

A leading business technology provider is undergoing a major enterprise-wide transformation - and they're looking for a Senior Business Analyst to help shape the future of their data and technology landscape. The role can be hybrid for candidates who live close to Brighton, or remote for those who live further afield, with some occasional travel to the Brighton … office for team meetings (expenses-paid). This is a new role, with a primary focus on a major data transformation project - the aim is to transition the business from its current landscape of bespoke, custom-built systems to more modern, streamlined solutions - such as the implementation of ServiceNow and a new Snowflake data warehouse. Due to the … technical nature of the role, we're looking for a Business Analyst with a strong understanding of data structures and data modelling, and hands-on skills in SQL would be a real advantage. Key responsibilities will include: Leading impact assessments of proposed data model changes across a complex systems landscape Analysing dependencies between legacy in-house More ❯

million customers across eight countries. The Analytics Platform team is brand new to the company and is tasked with consolidating analytics tooling and building a strategy for consistent data modelling across all our global businesses. We are building a platform that each country can plug their respective data into and get consistent data to be used … region or metrics at the global level by the group management team. Our mission is to build a platform for analytics where: - Producers can build efficient pipelines from source data to insight with ease - Producers can scale out Modelling & BI to any number of Octopus Energy businesses around the world Producers can provide insight via: - Notebooks for detailed … find what they're looking for with ease - Consumers have trust in the metrics and dashboards they're presented with - Consumers can self-serve if needed - Consumers can retrieve data via automation What you'll do: Build, document and consult on: Using dbt to model analytics for business domains using a data mesh framework. Charts and dashboards using More ❯

generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around … the world. As a Data Engineer, you will play a crucial role in supporting the team by creating and maintaining the data infrastructure necessary for the advanced analytics and machine learning solutions. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and … Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses Key job responsibilities 1. Design, develop, and maintain scalable data pipelines to support ML model development and production deployment. 2. Implement and maintain CI/CD pipelines for the data and ML solutions. 3. Collaborate with data More ❯

Ensure alignment with KF architecture and IT standards, principles and patterns and best practices, or highlighting where this is not the case API Integration: Integrate external APIs and other data sources to bring near real-time data and updates into the system. Data: Provide expertise in data modelling, data management and data migration … CRM platforms where required Estimation: Assist in the estimation, planning and production of implementation plans and roadmaps for CRM deliveries. Security: Ensure the security, privacy, and integrity of all data across the system. Documentation: Create comprehensive technical documentation to support the system's design, implementation, and integration processes (e.g. C4 modelling, document as code with Mermaid/PlantUML … . API Integration: Integrate external APIs and other data sources to bring near real-time data and updates into the system. Technical Risk: Identification and management of technical risk for CRM implementations Future Proofing: Stay up-to-date with the latest CRM technologies and trends Key Experience Required: 5+ years of experience as a Solutions Architect, working with More ❯

outside operations): Collaborate with stakeholders across the organisation to define areas of highest opportunity and related business/technical requirements. Build strong partnerships with Product, Technology (Dev, Architecture) and Data Science. Ensure that roadmaps are complementary, and transparent/aligned with relevant executives Team leadership and management : Leadership and mentoring of your team, movtivate the team to meet and … performance work environment without direct management responsibilities. Technical Governance: Provide technical governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include … relational, graph, key-value and streaming data design constraints. Infrastructure Expertise: Design, deploy (using GitOps & IaC), and manage solutions on Azure and Kubernetes, ensuring high availability, scalability, and security. Risk Management: Identify and mitigate risks associated with solution design and delivery, ensuring robust and resilient architectures. Mentor and develop technical talent, promoting a culture of learning and growth. Requirements More ❯

outside operations): Collaborate with stakeholders across the organisation to define areas of highest opportunity and related business/technical requirements. Build strong partnerships with Product, Technology (Dev, Architecture) and Data Science. Ensure that roadmaps are complementary, and transparent/aligned with relevant executives Team leadership and management : Leadership and mentoring of your team, movtivate the team to meet and … performance work environment without direct management responsibilities. Technical Governance: Provide technical governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include … relational, graph, key-value and streaming data design constraints. Infrastructure Expertise: Design, deploy (using GitOps & IaC), and manage solutions on Azure and Kubernetes, ensuring high availability, scalability, and security. Risk Management: Identify and mitigate risks associated with solution design and delivery, ensuring robust and resilient architectures. Mentor and develop technical talent, promoting a culture of learning and growth. Requirements More ❯

outside operations): Collaborate with stakeholders across the organisation to define areas of highest opportunity and related business/technical requirements. Build strong partnerships with Product, Technology (Dev, Architecture) and Data Science. Ensure that roadmaps are complementary, and transparent/aligned with relevant executives Team leadership and management : Leadership and mentoring of your team, movtivate the team to meet and … performance work environment without direct management responsibilities. Technical Governance: Provide technical governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include … relational, graph, key-value and streaming data design constraints. Infrastructure Expertise: Design, deploy (using GitOps & IaC), and manage solutions on Azure and Kubernetes, ensuring high availability, scalability, and security. Risk Management: Identify and mitigate risks associated with solution design and delivery, ensuring robust and resilient architectures. Mentor and develop technical talent, promoting a culture of learning and growth. Requirements More ❯

outside operations): Collaborate with stakeholders across the organisation to define areas of highest opportunity and related business/technical requirements. Build strong partnerships with Product, Technology (Dev, Architecture) and Data Science. Ensure that roadmaps are complementary, and transparent/aligned with relevant executives Team leadership and management : Leadership and mentoring of your team, movtivate the team to meet and … performance work environment without direct management responsibilities. Technical Governance: Provide technical governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include … relational, graph, key-value and streaming data design constraints. Infrastructure Expertise: Design, deploy (using GitOps & IaC), and manage solutions on Azure and Kubernetes, ensuring high availability, scalability, and security. Risk Management: Identify and mitigate risks associated with solution design and delivery, ensuring robust and resilient architectures. Mentor and develop technical talent, promoting a culture of learning and growth. Requirements More ❯

As a Data Modeller/Analyst you will have experience of creating and maintaining Conceptual, Logical and Physical Data Models to support the development of core business applications. You will possess a good working knowledge of the London Market business processes and data fundamentals. Your primary responsibility will be to analyse, interpret and understand the data requirements. ➢ Must be familiar with Data Modelling concepts. Exposure to data modelling tools such as Erwin, MS Visio, draw.io would be beneficial. ➢ Any experience working with Data Standards used within the London Market, e.g., ACORD GRLC Data Standards. ➢ Minimum 12 month's experience in the insurance or IT industry - with a background in … broking, operations, or underwriting. ➢ Exposure to the London Market business processes is desirable. ➢ Previous experience working as a Business or Data Analyst would be beneficial. ➢ Has an eye for detail and a commitment to data accuracy and consistency. ➢ Excellent communication skills to convey complex data findings to non-technical stakeholders. ➢ Problem Solving: Strong, logical investigative skills, to More ❯

As a Data Modeller/Analyst you will have experience of creating and maintaining Conceptual, Logical and Physical Data Models to support the development of core business applications. You will possess a good working knowledge of the London Market business processes and data fundamentals. Your primary responsibility will be to analyse, interpret and understand the data requirements. ➢ Must be familiar with Data Modelling concepts. Exposure to data modelling tools such as Erwin, MS Visio, draw.io would be beneficial. ➢ Any experience working with Data Standards used within the London Market, e.g., ACORD GRLC Data Standards. ➢ Minimum 12 month's experience in the insurance or IT industry - with a background in … broking, operations, or underwriting. ➢ Exposure to the London Market business processes is desirable. ➢ Previous experience working as a Business or Data Analyst would be beneficial. ➢ Has an eye for detail and a commitment to data accuracy and consistency. ➢ Excellent communication skills to convey complex data findings to non-technical stakeholders. ➢ Problem Solving: Strong, logical investigative skills, to More ❯

As a Data Modeller/Analyst you will have experience of creating and maintaining Conceptual, Logical and Physical Data Models to support the development of core business applications. You will possess a good working knowledge of the London Market business processes and data fundamentals. Your primary responsibility will be to analyse, interpret and understand the data requirements. ➢ Must be familiar with Data Modelling concepts. Exposure to data modelling tools such as Erwin, MS Visio, draw.io would be beneficial. ➢ Any experience working with Data Standards used within the London Market, e.g., ACORD GRLC Data Standards. ➢ Minimum 12 month's experience in the insurance or IT industry - with a background in … broking, operations, or underwriting. ➢ Exposure to the London Market business processes is desirable. ➢ Previous experience working as a Business or Data Analyst would be beneficial. ➢ Has an eye for detail and a commitment to data accuracy and consistency. ➢ Excellent communication skills to convey complex data findings to non-technical stakeholders. ➢ Problem Solving: Strong, logical investigative skills, to More ❯

being honest, owning our actions, delivering on our promises, and standing by each other-even when it's tough. Who we're looking for At 15M, we thrive on data-driven decisions, bold innovation, and building systems that give us a competitive edge. We're looking for a hands-on, analytical, and insight-driven Data Analyst who's … ready to dig deep into the numbers and turn complex data into meaningful actions that move the business forward. In this role, you'll be part of a collaborative, high-impact team working at the intersection of data, technology, and player experience. From uncovering trends in player behaviour to optimising product performance and powering real-time decisions, your … directly influence strategy and outcomes in the fast-paced i-gaming space. We're on a mission to create extraordinary experiences for our customers, and your curiosity, precision, and data-first mindset will be essential in keeping us ahead of the game. What you'll be doing As part of your role, your responsibilities will include: Data Collection More ❯

Location: London (hybrid working 3 office days per week) Employment Type: Permanent, full time Are you passionate about data and eager to make a significant impact? At The AA, a trusted and household name, our Data & Analytics function is at the forefront of innovation. We manage 1 petabyte of data, 500 million annual interactions, and 375 million … quotes, making data our superpower. Our team is modernising our data infrastructure to a cutting-edge cloud platform, enhancing performance and enabling machine learning and GenAI. Join us and be part of a team that turns insights into action, driving meaningful change for our customers, colleagues, and shareholders. Together, we can make Data a lifeline of our … organisation and a powerful force for the future. This is the job As a Data Designer, you will be an integral member of the Data Change delivery team, working closely with various business units and IT departments. You will create data solution designs that can be iteratively developed within an Agile framework. Your designs will represent business More ❯

Location: London (hybrid working 3 office days per week) Employment Type: Permanent, full time Are you passionate about data and eager to make a significant impact? At The AA, a trusted and household name, our Data & Analytics function is at the forefront of innovation. We manage 1 petabyte of data, 500 million annual interactions, and 375 million … quotes, making data our superpower. Our team is modernising our data infrastructure to a cutting-edge cloud platform, enhancing performance and enabling machine learning and GenAI. Join us and be part of a team that turns insights into action, driving meaningful change for our customers, colleagues, and shareholders. Together, we can make Data a lifeline of our … organisation and a powerful force for the future. This is the job As a Data Modeller, you will be an integral member of the Data Change delivery team, working closely with various business units and IT departments. You will create data solution designs that can be iteratively developed within an Agile framework. Your designs will represent business More ❯

Are you from a data and analytical background and looking to use your skills in as a Senior Data Engineer? We are looking for someone to join our International Portfolio Analytics team here at Markel What part will you play? If you're looking for a place where you can make a meaningful difference, you've found it. … business and is represented within the Wholesale Leadership Team. Its focus is on the areas that are critical to achieve profitability and performance targets for a specialty lines insurer: Data, Analytics and Insights, Portfolio Management and Pricing Model development. The IPA team provides support to the following Divisions within Markel Wholesale: Cyber writes many differing types of business and … Science and Clinical Trials The primary function of this position is to assist in providing valuable insights, solutions, services and operational improvements across MINT Wholesale through the use of data & insights. This will mainly include working to improve and augment underwriting and claims enabling data driven decision making. It will also include creating business MI for the various More ❯

technology enables customers to easily personalise their creations to keep for themselves or share as the most thoughtful of gifts. About The Role: We are looking for a Senior Data Platform Engineerto join our London-based data team and help us build a platform that accelerates a decentralised-by-design data adoption model within the business. We … care about trustable, usable data and we want you to bring your technical expertise to make that happen. You're a software engineer at heart, you thrive in the data domain and care deeply about customer outcome-focused engineering excellence. Day to day, you will build observable, scalable and resilient data services that ingest data from … source systems into consuming applications such as our data warehouse to meet the needs of analytics engineers and stakeholders. You will make significant contributions to solution designs, provide technical guidance to other team members and champion iterative approaches to software delivery. You will work within a cross-functional mission-led team, led by a product manager, an engineering manager More ❯

Data Architect £90000-110000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Data Architect (Consulting) £90,000 - £110,000 + Bonus London - Hybrid - Permanent A global leader in IT Solutions and Consulting is seeking a Data Architect to join their elite, fast-growing Data & Intelligence practice. You'll drive the definition … of enterprise data architecture strategies for major organisations across telecoms, banking, public sector, and retail. This is a client-facing leadership role requiring a mix of technical expertise and an extensive pre-sales/development skillset. Key Responsibilities of the Lead Data Architect: Design enterprise data architecture models across on-prem, cloud, and hybrid environments Define data governance, reference architecture, and modelling standards Lead data architecture engagements across multi-sector clients Align business, technology, and data architectures into a coherent strategy Support pre-sales, proposition shaping, and internal capability growth Guide and mentor architecture teams across onshore and offshore delivery Essential Skills and Experience: Proven experience as a Lead or Enterprise Data More ❯