1,076 to 1,100 of 1,232 Data Modelling Jobs in England

technical issues Requirements: BSc degree in Engineering, Computer Science, or equivalent experience Solid software development experience Proficiency in languages such as Java, Spring Boot, Python, or C# Understanding of data modeling, data manipulation, and storage systems Familiarity with industry best practices like code coverage Knowledge of software development methodologies (Agile, Scrum, Kanban) and TDD Ability to work well … regard to race, color, creed, religion, sex, national origin, citizenship, disability, veteran status, age, marital status, sexual orientation, gender identity, or genetic information. Cirium: Providing aviation and air travel data and analytics to keep the world moving. Our team is committed to diversity, inclusion, and collaboration, transforming industries with our passion for discovery. With over 480 employees across More ❯

they prioritise innovation and growth - they're considered one of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building but shaping how they’re developed Contribute to improving analytics engineering standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics … Engineering role Solid experience with DBT or similar modern modelling tools Advanced SQL skills and hands-on Snowflake experience Strong understanding of ETL concepts and building scalable pipelines Good communication skills — able to collaborate across functions and explain technical concepts clearly Insurance or motor industry experience is a plus, but not essential Interview Process: Intro call and CV run More ❯

they prioritise innovation and growth - they're considered one of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building but shaping how they’re developed Contribute to improving analytics engineering standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics … Engineering role Solid experience with DBT or similar modern modelling tools Advanced SQL skills and hands-on Snowflake experience Strong understanding of ETL concepts and building scalable pipelines Good communication skills — able to collaborate across functions and explain technical concepts clearly Insurance or motor industry experience is a plus, but not essential Interview Process: Intro call and CV run More ❯

they prioritise innovation and growth - they're considered one of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building but shaping how they’re developed Contribute to improving analytics engineering standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics … Engineering role Solid experience with DBT or similar modern modelling tools Advanced SQL skills and hands-on Snowflake experience Strong understanding of ETL concepts and building scalable pipelines Good communication skills — able to collaborate across functions and explain technical concepts clearly Insurance or motor industry experience is a plus, but not essential Interview Process: Intro call and CV run More ❯

they prioritise innovation and growth - they're considered one of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building but shaping how they’re developed Contribute to improving analytics engineering standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics … Engineering role Solid experience with DBT or similar modern modelling tools Advanced SQL skills and hands-on Snowflake experience Strong understanding of ETL concepts and building scalable pipelines Good communication skills — able to collaborate across functions and explain technical concepts clearly Insurance or motor industry experience is a plus, but not essential Interview Process: Intro call and CV run More ❯

confident, and collaborative approach to your work. Were seeking an analytical thinker with a strong background in management information ( MI ) and key performance indicator ( KPI ) reporting who can lead data analysis initiatives, collaborate across departments, and maintain high-quality data across multiple systems. What were looking for: Experience: Proven experience in an operations, coordination, or administrative role Experience … in MI and KPI reporting, with strong analytical capabilities Strong knowledge of Microsoft Office, including Excel (pivot tables, functions, and formulas) Hands-on experience developing reports and data models using Microsoft Power BI Experience working in a fast-paced, dynamic environment supporting multiple stakeholders Skills: Highly organised with the ability to manage multiple priorities Strong problem-solving skills and … identifying and implementing process improvements What youll be doing: Designing and building interactive Power BI dashboards that provide key business insights Leading the evolution of reporting practices, introducing innovative data visualisation methods Acting as a principal point of contact for consultants, ensuring they have the resources they need to succeed Coordinating critical communications and projects, supporting the consultancy teams More ❯

and maintain scalable, secure Python-based back-end services and APIs Develop and deploy cloud-native applications on AWS (e.g., Lambda, ECS, S3, RDS) Integrate with third-party financial data providers and internal portfolio systems Collaborate closely with front-end developers, DevOps, and business stakeholders Write clean, testable code and contribute to CI/CD pipelines and automated deployments … testing, and deployment workflows Desirable: Experience with alternative asset strategies such as private credit, real estate, or private equity Exposure to event-driven systems (Kafka, Redis) and ETL/data pipelines Familiarity with portfolio management tools or investment data modeling Knowledge of security and compliance requirements in financial cloud environments Additional Information Competitive salary + discretionary bonus Hybrid More ❯

hybrid columnar compression, and storage indexes. Define and enforce best practices around database performance tuning, high availability, disaster recovery, and capacity planning. Work collaboratively with application teams to align data architecture with application performance and scalability goals. Design and review data models, physical schemas, and partitioning strategies for large-scale transactional and analytical systems. Oversee database versioning, patching … offering, e.g. AWS Redshift). Implement and enforce database security policies and compliance standards. Collaborate with application architects, platform engineers, developers and business analysts to deliver consistent and resilient data services. Correct budgeting for Oracle database technologies Document technical designs, configurations, and operational procedures. Specialist Knowledge: Solid understanding of Oracle Exadata including configuration/patching. Experience using OEM including More ❯

and globally connected organisation who embrace emerging technologies, including generative AI, to drive innovation and empower their people and clients to thrive. Key Responsibilities- Build and enhance the People Data Model using Workday Prism and Power BI Develop scalable, automated reporting solutions that deliver actionable workforce insights Collaborate across HR and business teams to support strategic planning and performance … analysis Drive data initiatives across workforce planning, HR operations, and strategic projects Experience required- Proven experience in workforce or business analytics Strong knowledge of Power BI or similar BI tools Hands-on experience with Workday reporting (Prism Analytics preferred) Solid SQL and Excel skills Strong stakeholder engagement and communication abilities Organised, proactive, and able to manage multiple priorities More ❯

Property & Casualty (P&C) Insurance . This is a long-term opportunity to work on high-impact Agile projects, bridging the gap between business needs and technical solutions through data-driven insights. Key Responsibilities: Design and optimize relational databases ; write complex SQL queries for data extraction and analysis. Conduct in-depth Insurance Data Analysis to identify trends … risks, and opportunities. Translate business requirements into technical specifications and data models. Collaborate with Agile teams to ensure seamless integration of systems and data. Act as a key liaison between business stakeholders and technical teams. Support system enhancements, data migrations, and reporting initiatives. Required Experience: 5-10 years as a Business Systems Analyst, ideally within the Insurance sector … . Strong hands-on experience with SQL , database design , and data analytics . Proven background in Property & Casualty (P&C) Insurance systems and workflows. Experience working in Agile environments with cross-functional teams. Excellent communication skills - able to engage both technical and non-technical stakeholders. Strong analytical thinking and problem-solving mindset. Contract Details: Outside IR35 £300-£350/ More ❯

Property & Casualty (P&C) Insurance . This is a long-term opportunity to work on high-impact Agile projects, bridging the gap between business needs and technical solutions through data-driven insights. Key Responsibilities: Design and optimize relational databases ; write complex SQL queries for data extraction and analysis. Conduct in-depth Insurance Data Analysis to identify trends … risks, and opportunities. Translate business requirements into technical specifications and data models. Collaborate with Agile teams to ensure seamless integration of systems and data. Act as a key liaison between business stakeholders and technical teams. Support system enhancements, data migrations, and reporting initiatives. Required Experience: 5-10 years as a Business Systems Analyst, ideally within the Insurance sector … . Strong hands-on experience with SQL , database design , and data analytics . Proven background in Property & Casualty (P&C) Insurance systems and workflows. Experience working in Agile environments with cross-functional teams. Excellent communication skills - able to engage both technical and non-technical stakeholders. Strong analytical thinking and problem-solving mindset. Contract Details: Outside IR35 £300-£350/ More ❯

Develop functional test plans and user acceptance test plans and scenarios. Coordinate functional and user acceptance testing by executing the testing strategy, scheduling resources and tracking test performance. Perform data analysis to support evaluation of system defects or to develop requirements for new functionality; triage and troubleshoot complex user-reported system defects; assist in various system trouble shooting and … and correction efforts including analysis, verification and validation of issues and fixes. Conduct impact analysis of technology changes on business processes and existing technology. Assist in the development of data models and interface design specifications. Coordinate activities including on-time delivery, testing and production moves. Work as a technical support and liaison to designated IT personnel to provide testing … skills are required, focusing on team/individual development to be a valued contributor. Analyze and define business reporting requirements and implement in cooperation with the IT team. Perform data analysis using queries and ad-hoc reporting tools. Document application work instructions and training materials. Provide day-to-day application support to key users. REQUIRED QUALIFICATIONS: Bachelor's degree More ❯

performance, and maintainability Collaborate closely with business and technical teams to interpret requirements and translate them into functional and technical specifications Develop and configure business rules, workflows, UI components, data models, and integrations, ensuring compliance with Pega guardrails and best practices Participate in unit testing, code reviews, and peer programming to ensure high standards of code quality and system … Pega applications, ideally within enterprise-level environments Pega Certified Senior System Architect (CSSA) is mandatory Strong command of Pega platform capabilities, including case lifecycle management, decisioning, UI design, and data integration Experience with Pega industry frameworks such as Pega Customer Service, Sales Automation and Pega Marketing Experience working with REST/SOAP APIs, database queries, and integration with third More ❯

Business Intelligence Developer, Leeds, COR7288 Are you a seasoned BI Developer with a strong track record of delivering advanced analytics and data-driven strategies? This could be the ideal role to challenge and grow your expertise! The Role As a BI Developer, you will take a leading role in architecting, developing, and optimising sophisticated business intelligence solutions across the … organisation. Your responsibilities will include creating complex data models, building scalable and interactive reports and dashboards, and partnering with stakeholders to drive strategic decision-making through advanced analytics. The Company Our client is a thriving organisation in the Chemicals industry with a reputation for innovation and operational excellence. The BI Developer will join a forward-thinking team in a … culture that champions technical leadership, continuous learning, and high-impact data initiatives. This role is based from their Leeds offices. What’s Required? The ideal candidate for the BI Developer role will have the following: Extensive experience as a BI Developer, Data Engineer, or in a similarly technical data-focused role Expert-level SQL skillsProficiency with modern More ❯

management and staff indicated by the Principal in order to determine the scope of reporting, and then design and implement reports in individual functional and business areas Development of data models, transformations, measures and visualisations based on source data Authorisation rights management with regards to individual reporting modules, taking into account the scope of responsibility of users Cooperation … with members of the Data team to ensure high quality source data and extend the range of available information Cooperation with report users, implementing modifications and reacting to reported errors on an ongoing basis Adjusting reporting to changes and expectations of the organisation. What we're looking for: Numeric degree background e. Physics, Maths, Computer Science etc (min … position would be beneficial e. placement year Experience in working with Power BI and Excel programs (pivot tables, Power Query, VBA, macros, etc.) Experience working with large amounts of data from multiple sources Ability to model and interpret data, including designing dynamic charts and presentations Ability to develop relationships with senior management and external stakeholders If this role More ❯

in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting The Role We're looking for a hands-on MI Manager to lead the development and delivery … has the insights they need to act fast. You'll manage one Senior Analyst (with future headcount potential), and be the go-to person for MI infrastructure -building scalable data models, streamlining reporting pipelines, and consolidating multiple data sources into a unified operational reporting layer. What You'll Do Own MI Infrastructure Design and maintain robust DBT models … and SQL pipelines to transform raw data into accurate, timely, and usable reporting layers. Ensure consistent metric definitions and a single source of truth across all operational reporting. Reporting & Dashboarding Build and maintain clear, accessible dashboards to track KPIs across service, risk, and complaints functions. Deliver insights on areas such as SLA performance, fraud trends, QA scores, complaint volumes More ❯

with hands-on experience in designing, developing, and deploying seamless integration solutions. This role involves collaborating with cross-functional teams to create robust integration processes that support HR systems, data flows, and business operations. Required Key Responsibilities: • Design, develop, and implement integrations between SAP SuccessFactors and other systems using Dell Boomi. • Exposure to other integration technologies like SAP CPI … Employee Central, Recruiting, Learning, and Performance Management. • Collaborate with functional and technical teams to gather requirements and design effective integration solutions that align with business goals. • Implement and optimize data mapping, transformation, and validation techniques to ensure accurate data flows between SAP SuccessFactors and external systems. • Troubleshoot and resolve integration issues related to SAP SuccessFactors, ensuring data … in best practices for SAP SuccessFactors integrations. Skills & Qualifications: • Experience in Dell Boomi development, with specific expertise in integrating SAP SuccessFactors with enterprise systems. • Strong knowledge of SAP SuccessFactors data models, APIs, and integration patterns (e.g., OData, SOAP). • Experience in implementing and maintaining SAP SuccessFactors integrations such as Employee Central, Recruiting, Learning, and Performance modules. • Proficiency in using More ❯

leadership has the insights they need to act fast.You'll manage one Senior Analyst (with future headcount potential), and be the go-to person for MI infrastructure -building scalable data models, streamlining reporting pipelines, and consolidating multiple data sources into a unified operational reporting layer. What You'll Do Own MI Infrastructure + Design and maintain robust DBT … models and SQL pipelines to transform raw data into accurate, timely, and usable reporting layers. + Ensure consistent metric definitions and a single source of truth across all operational reporting. Reporting & Dashboarding + Build and maintain clear, accessible dashboards to track KPIs across service, risk, and complaints functions. + Deliver insights on areas such as SLA performance, fraud trends … QA scores, complaint volumes, vulnerable customer tracking, etc. + Ensure reports are timely, trusted, and action-oriented. Data Consolidation & Integrity + Consolidate disparate datasets from multiple systems to support holistic operational oversight. + Proactively identify and resolve data discrepancies, inconsistencies, or quality issues. Team Management & Development + Manage and mentor a Senior Analyst, reviewing output quality and helping More ❯

Are you a data-driven BI Developer with a passion for turning complex information into actionable insights? We're seeking a Business Intelligence Developer to join our team at the Petcare Science Institute. Your work will directly contribute to advancing the health and wellbeing of pets worldwide. Role: Power BI Developer Experience: 4+ years Pay: Inside IR35 Location: Leicestershire … days/week in office Duration: Contract (12 months) What You'll Do Develop and maintain BI solutions from end-to-end, collaborating with scientists and analysts. Build automated data models and pipelines for large, complex datasets, with a focus on Databricks in Azure. Drive data standardization and best practices to support a strong data culture. What … Power Query (M), Power Apps, and SQL. Strong communication skills to engage with both technical and non-technical teams. Experience in managing multiple projects and a solid understanding of data management and governance. If you're ready to take your skills to the next level and make a difference in a dynamic environment, we want to hear from you More ❯

in supporting financial performance and reporting. A big part of your role will be helping finance colleagues become more confident using the tools we provide-training them to analyse data and generate insights independently. This is a great opportunity to grow your financial systems knowledge and work with stakeholders across the business to drive data-led decisions. What … our client are looking for: Strong experience in enterprise-level TM1 modelling , SQL , and business intelligence reporting . Good understanding of relational databases (e.g., Oracle , SQL Server ). Proven ability to translate business needs into robust data models and accessible reports. Confident communicator with both technical and non-technical audiences. Track record of delivering dashboards and insights that More ❯

in supporting financial performance and reporting. A big part of your role will be helping finance colleagues become more confident using the tools we provide-training them to analyse data and generate insights independently. This is a great opportunity to grow your financial systems knowledge and work with stakeholders across the business to drive data-led decisions. What … our client are looking for: Strong experience in enterprise-level TM1 modelling , SQL , and business intelligence reporting . Good understanding of relational databases (e.g., Oracle , SQL Server ). Proven ability to translate business needs into robust data models and accessible reports. Confident communicator with both technical and non-technical audiences. Track record of delivering dashboards and insights that More ❯

in supporting financial performance and reporting. A big part of your role will be helping finance colleagues become more confident using the tools we provide-training them to analyse data and generate insights independently. This is a great opportunity to grow your financial systems knowledge and work with stakeholders across the business to drive data-led decisions. What … our client are looking for: Strong experience in enterprise-level TM1 modelling , SQL , and business intelligence reporting . Good understanding of relational databases (e.g., Oracle , SQL Server ). Proven ability to translate business needs into robust data models and accessible reports. Confident communicator with both technical and non-technical audiences. Track record of delivering dashboards and insights that More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data More ❯