1 to 25 of 52 DemandTrendPermanent Data Warehouse Jobs in the City of London

Main purpose of job: Responsible for facilitating the implementation of the data strategy, under the strategic direction of the Data Steering Group, through iterative technical delivery of a modern data platform solution that provides the business with the following: Improved data quality and consistency, More readily and reliably accessible MI, Enhanced data … building of a modern Data platform solution to handle large and complex data sets. Key tasks: Design Data Lake and Data Warehouse solutions Design Data Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation More ❯

Main purpose of job: Responsible for facilitating the implementation of the data strategy, under the strategic direction of the Data Steering Group, through iterative technical delivery of a modern data platform solution that provides the business with the following: Improved data quality and consistency, More readily and reliably accessible MI, Enhanced data … building of a modern Data platform solution to handle large and complex data sets. Key tasks: Design Data Lake and Data Warehouse solutions Design Data Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation More ❯

Data Warehouse Solution Engineer 📍 London | 💰 £80,000 – £90,000 (flexible for exceptional experience) + benefits We’re searching for a skilled data engineering professional who enjoys solving complex problems and turning data into actionable insights. This role sits at the heart of a collaborative, forward-thinking team that values innovation, curiosity, and a … willingness to take on new challenges. In this position, you’ll be the primary owner of a recently deployed Azure-based data warehouse , ensuring it continues to evolve to meet the needs of a fast-growing organisation. You’ll partner with colleagues across technology, finance, and data governance to guarantee that data is … it — from designing new integrations to building tools and processes that extract maximum business value. Key Responsibilities Develop and maintain a roadmap for expanding the Azure data warehouse to support advanced reporting and analytics. Enhance and maintain the existing environment, embedding data engineering best practices. Design and implement ETL workflows, transformations, and data More ❯

Data Warehouse Solution Engineer 📍 London | 💰 £80,000 – £90,000 (flexible for exceptional experience) + benefits We’re searching for a skilled data engineering professional who enjoys solving complex problems and turning data into actionable insights. This role sits at the heart of a collaborative, forward-thinking team that values innovation, curiosity, and a … willingness to take on new challenges. In this position, you’ll be the primary owner of a recently deployed Azure-based data warehouse , ensuring it continues to evolve to meet the needs of a fast-growing organisation. You’ll partner with colleagues across technology, finance, and data governance to guarantee that data is … it — from designing new integrations to building tools and processes that extract maximum business value. Key Responsibilities Develop and maintain a roadmap for expanding the Azure data warehouse to support advanced reporting and analytics. Enhance and maintain the existing environment, embedding data engineering best practices. Design and implement ETL workflows, transformations, and data More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for … data warehousing, mining, BI, and reporting. Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for … tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for … data warehousing, mining, BI, and reporting. Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for … tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for … data warehousing, mining, BI, and reporting. Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for … tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for … data warehousing, mining, BI, and reporting. Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for … tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform More ❯

Data Architect (Azure solutions) Opportunity: Permanent Position Office Location: Central London (King’s Cross Station) Hybrid Model: 2 days per week in the office Industry: The Global Trading firm Role Summary: Lead enterprise data strategy and architecture. Own and manage an Enterprise data management - Azure-native data platform architecture, governance frameworks, and … drive AI/ML adoption across the business. The ideal candidate is an extensive hands-on architect with high-regulated data architect lifecycle experience covering data lakes, data warehouses, from concept to deployment and consumption. Must have hands-on HLD and LLD experience developing data modelling and core Azure native data solutions. Key Responsibilities: Own and execute enterprise data strategy – Enterprise data, BI, and reporting solutions Design and develop Azure-native data platforms (Synapse, Data Factory, Databricks, Purview) Lead data governance board and ensure GDPR compliance Drive data-driven decision making across the business Mentor teams and More ❯

ETL SQL Server Data Engineer - IT Solutions Provider - London (Tech stack: Data Engineer, SQL Server Developer, T-SQL, ETL, Azure, Data Warehouse, Data modelling, Azure, Fabric, SSAS) Are you a skilled Data Engineer who thrives on data orchestration and transformation? We're seeking a passionate ETL Data Engineer to join a dynamic team delivering real-life impact via cutting-edge technology. As a Data Engineer , you'll design, build, and optimise ETL pipelines that power critical insights and drive strategic decision-making. Our client is a UK-based IT services and technology consultancy with over three decades of experience delivering high-impact solutions … asset management, and managed services to deliver real-world impact across sectors in the UK. What You'll Do: Lead ETL development and maintenance-extracting, transforming, and loading data across complex systems. Act as a Data Engineer , collaborating with stakeholders to define robust, scalable ETL workflows. Own the full lifecycle of ETL integration-from source ingestion More ❯

Senior Data Engineer Start - ASAP Duration - 3 months Rates - TBC Location - Chancery Lane Hybrid - 3 days onsite/2 days remote We are seeking a proactive and self-motivated Senior Data Engineer with a proven track record in building scalable cloud-based data solutions across multiple cloud platforms to support our work in architecting … building and maintaining the data infrastructure. The specific focus for this role will start with GCP however we require experience with Snowflake and Databricks also. As a senior member within the data engineering space, you will play a pivotal role in designing scalable data pipelines, optimising data workflows, and ensuring data … quality for production technology. The ideal candidate brings deep technical expertise in AWS, GCP and/or Databricks alongside essential hands-on experience building pipelines in Python, analysing data requirements with SQL, and modern data engineering practices. Your ability to work across business and technology functions, drive strategic initiatives, and independently problem solve will be key More ❯

Senior Data Engineer Start - ASAP Duration - 3 months Rates - TBC Location - Chancery Lane Hybrid - 3 days onsite/2 days remote We are seeking a proactive and self-motivated Senior Data Engineer with a proven track record in building scalable cloud-based data solutions across multiple cloud platforms to support our work in architecting … building and maintaining the data infrastructure. The specific focus for this role will start with GCP however we require experience with Snowflake and Databricks also. As a senior member within the data engineering space, you will play a pivotal role in designing scalable data pipelines, optimising data workflows, and ensuring data … quality for production technology. The ideal candidate brings deep technical expertise in AWS, GCP and/or Databricks alongside essential hands-on experience building pipelines in Python, analysing data requirements with SQL, and modern data engineering practices. Your ability to work across business and technology functions, drive strategic initiatives, and independently problem solve will be key More ❯

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 More ❯

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 More ❯

evolving Lloyds managing agent thats leading the way across multiple lines, including Property, Casualty, and Specialty. As part of a major transformation, theyre building a modern, business-driven data platform from the ground up and theyre looking for a Senior Data Engineer to help shape it. About the Business This Lloyds managing agent is authorised and … regulated by the PRA and FCA, managing a high-performing syndicate. They are known for underwriting excellence and are investing heavily in data and technology to support their long-term growth. Why this role? You'll play a key role in delivering a robust, scalable data platform that unlocks better MI, improves data quality … opportunity to influence the data direction of a Lloyds business, not just maintain it. Key responsibilities: Design and build Data Lake and Data Warehouse solutions Create scalable, automated batch and streaming data pipelines Optimise metadata, catalogue, lineage, and data quality processes Support business teams with data visualisation More ❯

Job Title: Data Engineer – Azure Location: City of London (Hybrid) Employment Type: Permanent, Full-Time Overview: We are currently hiring a Data Engineer to join a growing Data & Analytics team within a dynamic and forward-thinking organisation. This is a fantastic opportunity for a professional with a solid foundation in data engineering … who is looking to deepen their expertise in the Microsoft Azure ecosystem and work with emerging technologies like Microsoft Fabric. Key Responsibilities: Design, build, and maintain scalable data pipelines using Azure services Develop data models and perform ETL/ELT operations Collaborate with analysts … architects, and stakeholders to understand data requirements Implement and maintain version control and CI/CD processes Analyse and optimise existing ETL processes and data warehouse structures Perform advanced DAX queries in Power BI and create multidimensional data models Participate in solution design documentation and provide third-line support Core Requirements More ❯

Job Title: Data Engineer – Azure Location: City of London (Hybrid) Employment Type: Permanent, Full-Time Overview: We are currently hiring a Data Engineer to join a growing Data & Analytics team within a dynamic and forward-thinking organisation. This is a fantastic opportunity for a professional with a solid foundation in data engineering … who is looking to deepen their expertise in the Microsoft Azure ecosystem and work with emerging technologies like Microsoft Fabric. Key Responsibilities: Design, build, and maintain scalable data pipelines using Azure services Develop data models and perform ETL/ELT operations Collaborate with analysts … architects, and stakeholders to understand data requirements Implement and maintain version control and CI/CD processes Analyse and optimise existing ETL processes and data warehouse structures Perform advanced DAX queries in Power BI and create multidimensional data models Participate in solution design documentation and provide third-line support Core Requirements More ❯

Lead Data Engineer As a Lead Data Engineer, you'll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: * Develop and execute a data engineering strategy that aligns … with organisational goals and technological advancements. * Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. * Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. * Create and manage Power BI dashboards, reports, and data models to provide strategic insights. * Integrate cutting-edge technologies … like AI, real-time analytics, and automation into our data infrastructure. * Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: * Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. * Advanced skills in Power BI, including DAX, Power Query, and data modelling. * Strong programming abilities More ❯

Head Of Data Position A fast-growing, digitally transformed business is seeking a founding member of their data team to build and implement the infrastructure that will support their continued growth and success. Over the past two years, this organisation has adopted a wide range of cloud-based systems across finance, operations, project management, and sales. … experienced candidate to architect the pipelines and reporting structures that bring this vision to life. Working directly with senior leadership, you’ll have the opportunity to shape the data function from the ground up, with a clear path to building and leading your own team in the future. Key Responsibilities Data Architecture & Integration (50%) Design and … ETL/ELT processes to unify cross-functional datasets. Build foundational datasets and collaborate with senior leadership to define data architecture. Design for future scalability and cloud warehouse implementation Data Visualisation & Storytelling (25%) Build dynamic dashboards and reports using Power BI. Work with business operations to translate data into strategic narratives. Contribute to More ❯

Head Of Data Position A fast-growing, digitally transformed business is seeking a founding member of their data team to build and implement the infrastructure that will support their continued growth and success. Over the past two years, this organisation has adopted a wide range of cloud-based systems across finance, operations, project management, and sales. … experienced candidate to architect the pipelines and reporting structures that bring this vision to life. Working directly with senior leadership, you’ll have the opportunity to shape the data function from the ground up, with a clear path to building and leading your own team in the future. Key Responsibilities Data Architecture & Integration (50%) Design and … ETL/ELT processes to unify cross-functional datasets. Build foundational datasets and collaborate with senior leadership to define data architecture. Design for future scalability and cloud warehouse implementation Data Visualisation & Storytelling (25%) Build dynamic dashboards and reports using Power BI. Work with business operations to translate data into strategic narratives. Contribute to More ❯

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Data Engineer Location: London (Hybrid) Duration: Until 31/12/2025 Rate: £358 per day Inside IR35 (Umbrella) Role Description: To build and maintain the systems that collect, store … process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities: Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Skillset Required: Experience in Python, PySpark and SQL Experience with AWS is a plus Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management. Proficient in version control systems such as Git, GitLab, or More ❯

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Data Engineer Location: London (Hybrid) Duration: Until 31/12/2025 Rate: £358 per day Inside IR35 (Umbrella) Role Description: To build and maintain the systems that collect, store … process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities: Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Skillset Required: Experience in Python, PySpark and SQL Experience with AWS is a plus Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management. Proficient in version control systems such as Git, GitLab, or More ❯

Lead AWS Data Engineer/Architect - Databricks - London I'm working with a globally renowned financial services client that are looking for a seasons Data professional. My client are seen as leaders and pioneers within their relative field but also, a very well known house hold name. They have operations in near enough every country and … best companies to work for along side many other outstanding accolades. This is a hands on technical role. The successful applicant will be building and maintaining AWS Data pipelines and infrastructure. This is while working with cross functional teams to design best in Class data solutions across the business. As a business, they are very mature … within their data services however, there is always room for improvements so we're looking for an expert to not look to be involved in new processes but equally, help to reverse engineer the existing platform to increase efficiency and performance. This is a salaried position paying up to £130k as a base salary. It's hybrid working More ❯

Profitable, innovative, and customer-obsessed, we’re on a mission to redefine how modern Job Summary We’re seeking a Senior Analytics Engineer to transform how we leverage data, automate reporting, and unlock actionable insights to drive our business forward. In this role, you’ll work closely with commercial, product, and leadership teams to turn raw data … and recurring BI tasks. Build and maintain dashboards in Looker Studio (and other tools as needed) to provide business users with timely, self-serve insights. Deep-dive into data to uncover … the drivers behind key metrics—identifying trends, anomalies, and the “why” behind our numbers. Integrate new data sources (e.g., Stripe, CRM platforms) into our data warehouse and analytics stack. Present findings through clear charts, written commentary, and actionable recommendations for both technical and non-technical audiences. Partner with stakeholders across commercial, product, and finance teams More ❯

model 2-year FTC to permanent The Opportunity Our client is looking for an experienced Finance BI & Analytics Manager to take a lead role in their global finance data transformation. This is a unique opportunity to join a high-performing team that sits at the crossroads of Finance and Data, ensuring that financial reporting is accurate … timely, and strategically valuable. In this role, you'll guide the development of revenue data models, manage end-to-end processes that underpin key business decisions, and lead a talented team of analysts. You'll work closely with stakeholders across finance, data engineering, and operations to ensure data flows are reliable, compliant, and optimised … and data teams to improve workflows and ensure smooth data integration across multiple brands. Act as the primary liaison for large-scale data warehouse migration projects. Ensure compliance with SOX controls and maintain robust governance frameworks. Lead projects to implement new revenue models and migrate key datasets. Analyse product and wallet data More ❯