301 to 325 of 1,142 Data Modelling Jobs in England

An exciting opportunity has arisen for an experienced Data Solution Architect to become part of the National Data and Analytics (NDA) Platform & Engineering Team.The NDA Platform & Engineering Team is working on providing data to drive the business forward. You'll work in a team that has access to end-to-end business data whilst also working … with new technologies and data sources. As part of NDA, you will collaborate with Business Partners, Data Scientists and Report Developers to deliver data driven solutions to the business. We are looking for someone to come into supplement the existing NDA team in delivering significant data solutions using industry level best practices.Reporting to the Platform and … Engineering Manager, the candidate will be required to design and manage data warehousing solutions, including the development of data models, ETL processes and data integration pipelines for efficient data consolidation, storage and retrieval, providing technical guidance and upskilling for the team, and conducting monitoring and optimisation activities. If you’re a hardworking individual that’s ready More ❯

Are you a skilled Data Engineer looking to step into the world of architecture? An exciting opportunity has opened for an experienced Data Engineer to join our national Data & Analytics function at a time of significant technical modernisation. The team is about to embark on a greenfield project to build a futureproof data warehousing platform using … Azure Data Factory and Databricks, with a clear focus on scalability, quality, and best practice. Working within a specialist Data Platform & Engineering team, you ll join as the expert within Azure Databricks. You'll help to upskill our teams knowledge of Databricks, get involved in data modelling and ETL pipeline development, integrations, and performance tuning. This … is an ever evolving project as the business becomes more and more data driven and your knowledge of Databricks will be pivitol in shaping the architecture. This is an ideal role for a Senior Data Engineer ready to step into an architectural role, or an established architect keen to take ownership of a highly visible and strategic data 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 in Python, SQL, and/or Scala. Expertise in ETL/ 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 in Python, SQL, and/or Scala. Expertise in ETL/ More ❯

Job Description We want to expand our Data Science function further within our well-established strong data-driven Centralised Analytical department. Our Data Science mission is to build machine learning models in the production environment relative to Marketing, Customer Insights, and Safer Gambling and establish a strong culture of data-driven decision-making in our organisation … s strategy. We are looking for an experienced Machine Learning Engineer to support the delivery of ML products. You will work closely with the Data Science team, to understand the data and product requirements. You will also collaborate the Data & Ops team, to stay on top of key changes that may impact the ML frameworks and to … release of ML products. We use Azure Databricks as our platform. To be successful in the role, you will need to be experienced in cross-team collaboration to deliver data science projects, whilst promoting best practices. You be proactive in identifying and communicating data-related issues and will act as the interface between Data Science and Data More ❯

Your New Role We're seeking a Senior Data Engineer to help shape and maintain a modern enterprise data platform. In this role, you'll design and optimise scalable data pipelines and models that bring data from core business systems into Snowflake, enabling analytics, reporting, and data-driven insights across the organisation.You'll translate strategic … data architecture into robust technical solutions, ensuring the platform is reliable, performant, and well-structured. You'll champion engineering best practices and contribute to standards that improve data quality, consistency, and usability.Your work will ensure the business has access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and future AI/ML … capabilities. Key Responsibilities Data Engineering Delivery: Build and maintain high-quality data pipelines and models in Snowflake to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards to ingestion, transformation, storage, and optimisation processes. Pipeline Development: Develop robust ELT/ETL workflows using dbt and orchestration tools, ensuring reliability and maintainability. Performance & Cost Optimisation More ❯

On behalf of our client, we are looking for a Senior Data Engineer to join a fast-growing analytics team within a cutting-edge technology company. This is an exciting opportunity to work on large-scale data projects, build modern data infrastructure, and help shape the future of data-driven decision-making. Responsibilities Design, build, and … maintain scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and engineers to ensure high-quality data delivery. Develop and optimise data models for analytics and reporting. Implement best practices for data governance, security, and performance. Work closely with stakeholders to translate business requirements into technical solutions. Requirements 5+ years of experience in … Data Engineering or a similar role. Strong proficiency in Google Cloud Platform (GCP), BigQuery, Dataflow, Pub/Sub, Composer, etc. Expertise in SQL and programming with Python or Scala. Experience with Airflow, dbt, or other orchestration frameworks. Solid understanding of data warehousing, ETL, and data modelling principles. Hands-on experience with CI/CD, version control More ❯

On behalf of our client, we are looking for a Senior Data Engineer to join a fast-growing analytics team within a cutting-edge technology company. This is an exciting opportunity to work on large-scale data projects, build modern data infrastructure, and help shape the future of data-driven decision-making. Responsibilities Design, build, and … maintain scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and engineers to ensure high-quality data delivery. Develop and optimise data models for analytics and reporting. Implement best practices for data governance, security, and performance. Work closely with stakeholders to translate business requirements into technical solutions. Requirements 5+ years of experience in … Data Engineering or a similar role. Strong proficiency in Google Cloud Platform (GCP), BigQuery, Dataflow, Pub/Sub, Composer, etc. Expertise in SQL and programming with Python or Scala. Experience with Airflow, dbt, or other orchestration frameworks. Solid understanding of data warehousing, ETL, and data modelling principles. Hands-on experience with CI/CD, version control More ❯

Data Engineer – Sports Betting Location: London - Hybrid Salary: £100,000 + Bonus + Benefits A leading name in the sports betting industry is looking for a talented Data Engineer to help design, build, and scale data solutions that power trading, risk, and customer insight models. You’ll play a central role in transforming raw data into … actionable intelligence, working closely with data scientists, quants, and business stakeholders to shape cutting-edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and … customer behaviour analytics. Develop Power BI dashboards to provide insights across trading and product teams. Ensure high standards of data governance, quality, and scalability. Collaborate with product, trading, and technology teams to support innovation in the betting platform. What you’ll bring Proven experience as a Data Engineer in sports betting, gaming, or a similar high-volume data More ❯

Data Engineer – Sports Betting Location: London - Hybrid Salary: £100,000 + Bonus + Benefits A leading name in the sports betting industry is looking for a talented Data Engineer to help design, build, and scale data solutions that power trading, risk, and customer insight models. You’ll play a central role in transforming raw data into … actionable intelligence, working closely with data scientists, quants, and business stakeholders to shape cutting-edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and … customer behaviour analytics. Develop Power BI dashboards to provide insights across trading and product teams. Ensure high standards of data governance, quality, and scalability. Collaborate with product, trading, and technology teams to support innovation in the betting platform. What you’ll bring Proven experience as a Data Engineer in sports betting, gaming, or a similar high-volume data More ❯

Palantir Foundry Data Engineer - DV Cleared NEW CONTRACT OPPORTUNITY FOR A PALANTIR FOUNDRY DATA ENGINEER TO WORK ON A NATIONAL SECURITY PROJECT IN LONDON WITH DV CLEARANCE - Contract role in London for a Palantir Foundry Data Engineer - Must hold DV Security Clearance - Central London based - Daily rate up to £800 - Hybrid position - To apply, email: or call … Who we are... We are seeking an experienced Palantir Foundry Data Engineer with current DV clearance to join a high-profile programme. This is a contract position offering hybrid working and a daily rate of up to £800 . In this role, you will be responsible for designing, developing, and optimising data pipelines and integrations within Palantir Foundry … ensuring data is efficiently processed, transformed, and made available for analysis and operational use. You will collaborate closely with analysts, data scientists, and business stakeholders to deliver robust, secure, and scalable data solutions. What we're looking for... Key Responsibilities: Develop and maintain data pipelines and workflows in Palantir Foundry Integrate diverse data sources, ensuring More ❯

Azure Data Architect Brighton, East Sussex, £80 - £90k Azure Data Architect is required by our client who are a fast-growing and technically advanced multi-award-winning company going through an extended period of growth. Key responsibilities: Design, develop, and maintain data architectures using Azure Databricks and Synapse. Collaborate with cross-functional teams to understand data requirements and translate them into robust architectural solutions. Optimize data workflows and ensure seamless integration with various data sources. Implement data governance and security best practices. Provide technical leadership and guidance to the development team. Conduct performance … tuning and optimization of data processes. Skills required: Proven experience as a Data Architect working within Azure. Expertise in Azure Databricks and Azure Synapse. Strong understanding of Datamodelling, ETL processes, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages. Experience with data governance, data quality, and data security best practices. More ❯

globally. Backed by private equity and led by an experienced C-suite from leading consumer tech brands, this is an exciting time to be part of a high-impact data transformation. The Role: Support the migration from Tableau to Lightdash (similar to Looker) Use Lightdash/Looker, LookML, and DBT for data modelling and reporting Drive self … insights through engaging dashboards Collaborate closely with product, analytics, and BI teams About You: 5+ years' experience in analytics or BI Strong stakeholder engagement and communication skills Skilled in data visualisation and data modelling tools Comfortable working in a fast-paced, tech-driven environment Why Apply: Chance to influence a major data transformation Exposure to AI … initiatives and modern data stack Hybrid working (1-2 days onsite) Potential to go permanent Interview Process: Initial chat with the Director of Data Technical interview with analytics team More ❯

Lead Data Engineer Opportunity for a Lead Data Engineer to join a market leading Software House company in London Salary up to £150,000 + fantastic benefits including our share options, collaborative working culture and exciting growth opportunities and more Apply online or contact Chelsea Hackett via Chelsea.hackett@searchability.com WHAT WILL YOU BE DOING? As a Lead Data Engineer, you’ll take ownership of the entire data function — designing, scaling, and optimising the data platform that powers AI-driven products and insights. You’ll lead a small team of data engineers, set technical direction, and shape the company’s data strategy while staying hands-on with modern tooling across pipelines, cloud infrastructure, and … data architecture. WHO WE ARE: As a recently founded company we develop technology to modernise workflows in the pet care sector. Our platform uses automation and AI to simplify routine tasks, reduce administrative burdens, and improve communication, allowing our professionals to focus more on care. With early funding and industry partnerships, we are gaining traction as an emerging player More ❯

Lead Data Engineer Opportunity for a Lead Data Engineer to join a market leading Software House company in London Salary up to £150,000 + fantastic benefits including our share options, collaborative working culture and exciting growth opportunities and more Apply online or contact Chelsea Hackett via Chelsea.hackett@searchability.com WHAT WILL YOU BE DOING? As a Lead Data Engineer, you’ll take ownership of the entire data function — designing, scaling, and optimising the data platform that powers AI-driven products and insights. You’ll lead a small team of data engineers, set technical direction, and shape the company’s data strategy while staying hands-on with modern tooling across pipelines, cloud infrastructure, and … data architecture. WHO WE ARE: As a recently founded company we develop technology to modernise workflows in the pet care sector. Our platform uses automation and AI to simplify routine tasks, reduce administrative burdens, and improve communication, allowing our professionals to focus more on care. With early funding and industry partnerships, we are gaining traction as an emerging player More ❯

Architect , youll work alongside the Lead Information Architect and a diverse range of business and technical stakeholders to design and deliver high-level information architectures that meet the complex data needs of major infrastructure projects. Youll translate business requirements into clear, scalable information structures and contribute to our clients wider enterprise information model ensuring systems, data, and people … work seamlessly together. What Youll Be Doing Develop and maintain high-level information architectures . Collaborate with business, IT, and digital teams to define data and information requirements . Define and mature information modelling and data quality standards . Peer-review project documentation, including data models, information flows, and specifications . Identify and manage risks, dependencies … Information Model and information management best practices. Essential skills and experience: Degree (or equivalent experience) in Information Management, Computer Science, or a related field. Proven experience in information architecture, data modelling, and enterprise data design . Proficiency in modelling languages such as Entity Relationship Modelling, Archimate, or UML . Strong understanding of architecture and data More ❯

Senior Data Engineer - (AI/ML Deployment Experience Required) Location: London (Hybrid: Monday-Wednesday in office) Salary: £65,000-£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience … to help manage and scale its intelligent platform. Data sits at the heart of everything they do - transforming complex, messy datasets into actionable insights that empower smarter decisions and accelerate growth across industries. As they enter an exciting phase of rapid expansion, they're looking for a talented engineer to join them on this journey and help shape the … future of their data-driven platform. The Role The Senior Data Engineer will take ownership, shape the data foundations, and help power the next generation of AI-driven solutions. This is a hands-on, high-impact role where you'll design and build cloud-native data pipelines, champion best practices and automation, and help the engineering More ❯

Azure Data Engineer - 3-Month Contract - £450-£500/day - Outside IR35 Location: Remote (UK-based) Duration: 3 months Rate: £400-£450 per day (Outside IR35) Role Overview We are looking for an experienced Azure Data Engineer to join a short-term project focused on building and optimising cloud-based data solutions. This role requires strong technical … expertise in Azure services and modern data engineering practices, with the ability to deliver high-quality solutions in a fast-paced environment. Key Responsibilities Design and implement scalable data pipelines using Azure Data Factory , Databricks , and Synapse Analytics . Develop and optimise ETL processes for structured and semi-structured data. Work with SQL and Python for data transformation and modelling. Integrate data from multiple sources, ensuring accuracy, consistency, and performance. Collaborate with stakeholders to understand requirements and deliver actionable insights. Apply best practices for data governance , security, and performance tuning. Required Skills Proven experience as an Azure Data Engineer in enterprise environments. Strong hands-on expertise with Azure Data Factory , Databricks , Synapse More ❯

Azure Data Engineer - 3-Month Contract - £450-£500/day - Outside IR35 Location: Remote (UK-based) Duration: 3 months Rate: £400-£450 per day (Outside IR35) Role Overview We are looking for an experienced Azure Data Engineer to join a short-term project focused on building and optimising cloud-based data solutions. This role requires strong technical … expertise in Azure services and modern data engineering practices, with the ability to deliver high-quality solutions in a fast-paced environment. Key Responsibilities Design and implement scalable data pipelines using Azure Data Factory , Databricks , and Synapse Analytics . Develop and optimise ETL processes for structured and semi-structured data. Work with SQL and Python for data transformation and modelling. Integrate data from multiple sources, ensuring accuracy, consistency, and performance. Collaborate with stakeholders to understand requirements and deliver actionable insights. Apply best practices for data governance , security, and performance tuning. Required Skills Proven experience as an Azure Data Engineer in enterprise environments. Strong hands-on expertise with Azure Data Factory , Databricks , Synapse More ❯

Fully Remote 6-month initial contract Start Date: 17th November 2025 £550 per day Inside IR35 We are seeking two SC Cleared Databricks Analysts to support a high-profile data engineering and analytics programme with one of our GovTech Consultancy clients. The successful candidates will play a key role in designing, developing, and optimising data pipelines and analytics … solutions using Databricks within a secure environment. You will work with large and complex datasets from UK and potentially international sources, enabling advanced analytics and data-driven insights to inform strategic decisions. This role is highly technical and data-focused, requiring strong experience in Databricks , Spark , and related data engineering tools. While stakeholder engagement is minimal, you … will need to align technical solutions with business objectives and ensure data integrity and compliance throughout. Key Requirements Active SC Clearance (used within the last 12 months) Proven experience with Databricks (including notebooks, clusters, and job orchestration) Strong knowledge of Apache Spark , PySpark , and distributed data processing Experience building and optimising ETL pipelines and data workflows Familiarity More ❯

Ready to make an impact with data and influence decisions Join Thames Water as a Data Analyst in our Credit Risk Analytics team and help shape smarter, faster strategies that deliver real results. What you will be doing as a Data Analyst You will transform complex data into clear, compelling insights that stakeholders can act on. … we manage and collect revenue. You will play a key role in upgrading reporting and unlocking smarter ways to track and manage performance. If you love solving problems with data and excel at influencing decisions, this is the role for you. You will: Lead the development of credit and portfolio MI, turning data into actionable insights that support … strategic changes. Monitor key portfolio data and deliver regular reports, including deep dives that explain trends and variances in a way stakeholders can understand. Provide insight to support the Bad Debt Transformation programme, recommending improvements and clearly communicating impact. Support the transition to a data lake, creating SQL-driven reporting tools and ensuring strong data governance. Collaborate More ❯

Scientific Data Architects - Manchester/Macclesfield SciPro is partnered with a fast-scaling health tech company leading the scientific AI revolution. Backed by top-tier investors and integrated with the world’s leading cloud and AI infrastructure, their platform is transforming how scientific data is harnessed across the life sciences sector. Their platform turns fragmented lab data into AI-ready, interoperable assets, accelerating discovery and development, positioning itself as the backbone of data-driven science in some of the most innovative Pharma giants globally. I am seeking highly experienced hands-on and client-facing individuals to be onsite in London or Cambridge, to engage in unique pharma parterships and and reshape how scientists generate insights … 5+ years of Pharma/Biotech industry experience (Senior/Principal levels) Extensive knowledge of Drug Discovery, Development/Manufacturing or similar Life Science domain Deep experience in Python, Data Modelling, Data Integration, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews) A track record of architecting productionised scientific solutions , integrated with AI/ML More ❯

Data Engineer [Associate/Senior Associate] About the job We are looking to expand our Data Engineering team to build modern, scalable data platforms for our internal investment desks and portfolio companies. You will contribute to the firm’s objectives by delivering rapid and reliable data solutions that unlock value for Cerberus desks, portfolio companies, and … other businesses. You’ll do this by designing and implementing robust data architectures, pipelines, and workflows that enable advanced analytics and AI applications. You may also support initiatives such as due diligence and pricing analyses by ensuring high-quality, timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures … to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence. Optimize data storage and More ❯

Data Engineer [Associate/Senior Associate] About the job We are looking to expand our Data Engineering team to build modern, scalable data platforms for our internal investment desks and portfolio companies. You will contribute to the firm’s objectives by delivering rapid and reliable data solutions that unlock value for Cerberus desks, portfolio companies, and … other businesses. You’ll do this by designing and implementing robust data architectures, pipelines, and workflows that enable advanced analytics and AI applications. You may also support initiatives such as due diligence and pricing analyses by ensuring high-quality, timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures … to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence. Optimize data storage and More ❯

Senior Data Engineer Azure, Power BI, ADF, Synapse Salary: £60,000£70,000 + excellent benefits Location: Birmingham or London (12 days per month in office) Employment: Full time Join a leading and growing UK financial services company as a Senior Data Engineer, taking ownership of enterprise-grade Azure data solutions and advanced Power BI reporting. This … is a high-impact role for an experienced data engineer who wants technical leadership, architectural influence, and the chance to shape a modern cloud-based data platform built on Azure Data Factory, Synapse, Data Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data architecture across Azure Data Lake and Synapse environments. Play a key role in the organisations transition to Microsoft Fabric . Implement robust data More ❯