51 to 75 of 105 Data Modelling Jobs in Berkshire

problems, elegant architecture, and a platform used by millions. What You’ll Do Lead high-impact engineering work across the stack, with a focus on backend logic, APIs, and data modelling Own and scale complex Shopify integrations (beyond themes, into business logic, API orchestration, data workflows) Help design backend systems that power everything from payments to returns … design, and ops to deliver features quickly and iteratively Embrace automation and AI tooling to enhance developer productivity and deployment pipelines Tech Stack Languages: TypeScript (core), Python/Ruby (data flow) Frontend: React (preferred), Angular, Vue, Node.js also welcome Infrastructure: AWS Databases: RDBMS (must-have), Neo4j (nice-to-have) Integrations: Shopify (core), payment gateways, fraud detection tools You’ll … Thrive in This Role If You... Have strong backend fundamentals , including schema design, relational data modelling, and query optimisation Understand how to design architecture and APIs behind Shopify-powered storefronts — not just tweak themes or templates Are comfortable with Shopify’s full stack : from Liquid and templates to deeper integrations, APIs, and business logic Can own API-first More ❯

A leading London Market Underwriter is looking for a Senior Data Business Analyst to lead the discovery, definition, and delivery of data-focused projects across a well established Change and Transformation function. This role offers the opportunity to take ownership of data processes, reporting, and business intelligence initiatives, while influencing the evolution of the organisation’s Business … Analysis framework. Key Responsibilities: Lead the initiation, discovery, and delivery of multiple data and BI projects, ensuring scope, budget, and timelines are controlled. Play a key role in developing the data business analysis function , with future opportunities to take on leadership and line management responsibilities as the team grows. Collaborate with technical and business stakeholders to capture clear … and actionable requirements using techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and More ❯

insurance . In this role, you’ll design and develop BI solutions that deliver meaningful insights to teams across underwriting, claims, actuarial, and finance. Your deep understanding of insurance data—particularly bordereaux, policy, and claims data in the Lloyd’s and London Market—is essential. What You’ll Do Build and maintain advanced Power BI dashboards and visual … reports Write and optimise complex SQL queries , stored procedures, and ETL workflows Translate business needs into technical BI solutions by working closely with stakeholders Model and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance … processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance and documentation What We’re Looking For Technical Skills Expertise in Power BI (DAX, Power Query) and building impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases More ❯

Coeo are trusted data management and analytics experts, delivering technology strategy and support for business. The team have deep technical and commercial experience working with Microsoft Data Services to help our clients optimise their costs and maximise the benefits from their investments in these technologies. Coeo have a strong emphasis on consulting skills, and we expect our team … has been established for over 14 years and has exclusively focused on Microsoft technologies. Our mission is to “ help our clients predict their future ” through the better use of data, technology, people and processes. To do this our business has always focused on Managed Services Data Platform Consultancy Analytics Consultancy Adoption and Change Management There has never been … client sites across the UK and occasionally abroad, with nights away from home. Job Summary: We are seeking an experienced Principal Consultant with a strong background in SQL Server, Data Warehousing, and Business Intelligence tools. The ideal candidate will have hands-on experience with Data Warehousing, SAP Business Objects Data Services, SAP Business Objects, and Crystal Reports. More ❯

Coeo are trusted data management and analytics experts, delivering technology strategy and support for business. The team have deep technical and commercial experience working with Microsoft Data Services to help our clients optimise their costs and maximise the benefits from their investments in these technologies. Coeo have a strong emphasis on consulting skills, and we expect our team … has been established for over 14 years and has exclusively focused on Microsoft technologies. Our mission is to “ help our clients predict their future ” through the better use of data, technology, people and processes. To do this our business has always focused on Managed Services Data Platform Consultancy Analytics Consultancy Adoption and Change Management There has never been … client sites across the UK and occasionally abroad, with nights away from home. Job Summary: We are seeking an experienced Principal Consultant with a strong background in SQL Server, Data Warehousing, and Business Intelligence tools. The ideal candidate will have hands-on experience with Data Warehousing, SAP Business Objects Data Services, SAP Business Objects, and Crystal Reports. More ❯

Energy Domain is a must. Under 7 years of experience only. Permanent. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools Build and optimise ETL/ELT processes to handle small to large-scale data processing requirements Develop data models and schemas that support analytics, business intelligence and product needs Monitor … troubleshoot, and optimise data pipeline performance and reliability Collaborate with stakeholders, analysts and product team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills with … experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git More ❯

/11/2025 As a Senior GIS Developer, you will play a strategic role in shaping and delivering advanced GIS solutions that harness the power of spatial data to support critical business operations. You'll lead the design, development, and optimisation of GIS applications using the Esri ArcGIS platform, while leveraging your advanced skills in .NET, Python, and … SQL to support integration, automation, and data modelling efforts. Your role will involve collaborating closely with GIS Platform Lead, Architects, and stakeholders to align GIS capabilities with business goals. You'll also mentor junior developers, contribute to Agile delivery processes, and champion best practices across the team. What you'll be doing as a Senior GIS Developer GIS … Application Development: Design, develop, and maintain complex GIS applications using Esri ArcGIS to support both strategic and operational business needs. Data Integration & Modelling: Lead the integration of spatial and non-spatial data using SQL and Python to drive high-performance solutions that align with enterprise systems. Automation & Efficiency: Develop and optimise Python scripts and tools to automate More ❯

As a GIS Analyst , you’ll play a key role in turning complex operational data into clear, actionable insight that directly impacts the performance of Thames Water’s Waste Water Regional Delivery teams.This is a highly analytical role where you’ll help shape decisions on asset performance, operational optimisation, and risk management. By combining advanced data modelling … performance reports and regulatory reporting, to deliver accurate and trusted reports and insights, with appropriate commentary. Undertake performance and behavioural analysis on waste network assets, interpreting asset and operational data to identify performance trends and risk insights, and disseminate findings with appropriate visualisations and commentary. Develop and maintain geospatial asset risk models to create planned intervention work packs for … operational delivery teams. Actively track the delivery and benefits of interventions against planned outcomes. Maintain existing data management processes, monitor key data quality metrics and proactively liaise with company-wide functional experts and data engineers to resolve any process failures or data quality issues. Base Location: Clearwater Court, Reading – hybrid (minimum of 1 day in the More ❯

establish Analytics engineers best practices Helping the client migrate from tableau to omni Work with our clients’ teams to address their business challenges, define successful analytics outcomes and develop data models to address them. Collaborate with data engineers, analytics engineers, and other analytics team members to define the scope and requirements of analytical projects. Stay up to date … Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems. Strong communication and collaboration skills, with … the ability to work in a team environment. Ability to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with More ❯

Contract SAP Data Migration Lead needed (DV Cleared) - Hybrid Location: Aldermaston (4 days onsite/1 day remote) Clearance: Active DV Required (UK Nationals Only) Duration/Start: 6 months initially (high likelihood of extension)/ASAP The Role We are seeking an experienced SAP Data Migration Lead to drive the data strategy and end-to-end … migration workstream for a major greenfield SAP S/4HANA transformation . You'll oversee Legacy-to-SAP migration using SAP Data Services (BODS) and Migration Cockpit , owning the full migration life cycle, leading a development team, and working closely with functional and business stakeholders. This role is hands-on from a leadership and solutioning perspective - ideal for someone … understands migration at a deep technical and strategic level, with the ability to mentor, guide, and get involved in design/development discussions where required. Key Responsibilities Lead full data migration life cycle: strategy, planning, extraction, mapping, validation, load & reconciliation Oversee migration from Legacy systems into SAP S/4HANA using Data Services & Migration Cockpit Build, lead, and More ❯

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

Miryco is working with a leading player in the Pension and Asset Management market. Job Specification: Business Intelligence Analyst Department: Business Intelligence/Data Analytics Sector: Pensions & Asset Management About the Role: We are seeking a Business Intelligence Analyst to join our data and analytics team within a leading Pension & Asset Management organisation. This role will play a … key part in unlocking the value of our data, driving insights that support investment decisions, client reporting, and operational efficiency. The ideal candidate will combine strong technical skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with … investment, risk, and operations teams to gather requirements and deliver actionable insights. Transform complex data sets into clear dashboards, visualisations, and reports for business stakeholders. Ensure data accuracy, governance, and security across reporting processes. Work with large datasets from multiple sources (investment, risk, client, operational) to create integrated analytical views. Contribute to the development of a modern data More ❯

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

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

productionise low-code solutions built in Power Platform. What you’ll do: Build and enhance Power Apps, Power Automate flows, and Copilot Studio AI agents Create and integrate Fabric data agents with Dataverse and Azure services Deliver both low-code and pro-code business applications Collaborate across teams to identify and automate manual processes Mentor a junior developer and … ensure governance and performance standards What you’ll need: Strong Power Platform experience (Power Apps, Automate, Dataverse) Proven background developing AI or Fabric data agents Skilled in Power BI reporting and data integration Confident with SQL and Python for automation and data modelling Experience working with structured and unstructured data sources Interview Process: Remote interview More ❯

This AI Start up based near Kings Cross is looking for a Senior Data Engineer. This will be a hybrid position working in the office 3 days a week. You will help build and manage the robust data infrastructure that powers their AI-driven analysis platform and allows them to train their foundational ML models. You will work … closely with both the ML team and the product team, managing huge datasets of binary analyses and ensuring that the data requirements of both teams are synchronized and handled efficiently. Requirements Strong understanding of SQL and Python. Hands-on experience with cloud platforms (GCP/AWS in particular) and their data-specific services. Strong understanding of data modeling, data governance, and data quality principles. Experience working with large, complex and messy data sources. Ability to work independently, take initiative and communicate effectively within the team. Nice to have: Experience working with modern cloud data warehouses like Snowflake or BigQuery. Experience working with vector databases (e.g. Qdrant) Experience/understanding of data More ❯

Lead Job Location: London, United Kingdom Annual Gross Salary: 60-70K GBP About Role: We are seeking a highly skilled Senior Software Developer with a strong background in Data Architecture to join our dynamic team at GSK in London. The ideal candidate will have 7 10 years of experience in software development, with a proven track record of … designing and implementing robust data architectures that support scalable and efficient software solutions. This role requires a deep understanding of data management principles and the ability to translate complex business requirements into technical solutions. Responsibilities: Design, develop, and maintain software applications with a focus on data architecture and management. Collaborate with cross functional teams to gather and … analyze requirements, ensuring alignment with business objectives. Implement best practices for data modeling, database design, and data integration. Conduct code reviews and provide mentorship to junior developers, fostering a culture of continuous improvement. Optimize existing data architectures and software applications for performance and scalability. Stay updated with industry trends and emerging technologies related to data architecture More ❯

Senior Data Insurance Analyst Location: Hybrid (London-based with flexible working) Salary: £85K -£100K – this is dependent on skills and experience TAs a Senior Data Insurance Analyst , you’ll work with cross-functional teams—underwriting, claims, finance, and product—to analyse large datasets, spot trends, and provide recommendations that influence key decisions. You’ll design data models … perform predictive and trend analyses, and ensure data quality across multiple sources. Acting as a trusted adviser, you’ll guide senior stakeholders, mentor junior analysts, and help shape innovative solutions that enhance underwriting accuracy, claims efficiency, and customer experience. Key Responsibilities Translate business requirements into scalable data solutions with SMEs and senior data engineers. Source, analyse, and … validate enterprise data for reporting, analytics, and applications. Define transformation and normalisation logic for source, medallion, and model layers. Partner with data engineers to design and optimise data models for analytics and business consumption. Support backlog prioritisation in collaboration with Product Owner and Lead Data Engineer. Apply experience with Lloyd’s Syndicate speciality insurance data More ❯

An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI … and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance the way teams operate. This is a role with real influence: you’ll own the internal AI … are adopted across the company. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set the technical direction for backend and AI integration More ❯

evolving business needs Deliver tailored applications aligned with stakeholder expectations Required Skills: Proven expertise with Power Automate, Power Apps, Power BI, and Copilot Studio. Experience creating and maintaining Fabric data agents and integrating them into Power Platform and Copilot solutions. Power Apps: Experience developing complex Canvas Apps with multiple data connections. Proficiency in advanced expressions and formulas. Understanding … of Model-Driven Apps and Dataverse schema design. Power Automate: Experience building large, multi-branch flows with complex logic and varied data connectors. Skilled in error handling, performance optimization, and flow governance. Strong SQL skills for data modelling, querying, and optimization within Fabric and Power BI. Knowledge of Python for data manipulation, API automation, and AI … model integration. Experience working with both structured and unstructured data sources Understanding of AI Foundry or similar AI-enhanced development tools. Demonstrated ability to balance low-code and pro-code approaches to solution delivery. Strong stakeholder engagement skills and commercial awareness Desirable Knowledge of data governance, compliance, and security best practices. Relevant Microsoft certifications (Power Platform, Fabric, or More ❯

Power BI Reporting Data Analyst (Project Controls) £55-65,000 London (2/3 days onsite) Bring your data storytelling skills to one of the UK’s most critical infrastructure programmes. Join a high-performing Project Controls team where your Power BI expertise will drive clarity, action, and better decision-making. Are you confident... Working with complex project … data from cost, schedule, and risk? Creating dashboards that cut through the noise and deliver insight? Collaborating with PMO, planners, and execs to shape project performance? What You’ll Be Doing: Developing interactive Power BI dashboards for cost/schedule/risk reporting Automating reporting processes across live and portfolio projects Supporting the Project Controls team with bespoke analysis … and performance insight Helping embed data governance and quality control processes What We’re Looking For: Advanced Power BI and DAX skills Strong data modelling and integration from tools like P6, Excel, SAP, ARM or similar Experience supporting project delivery teams in infrastructure, energy or defence Someone who can simplify the complex – and challenge where needed This More ❯

Implementation Consultant – Financial Technology (London) A leading data and technology vendor serving the investment management industry is seeking an Implementation Consultant to join its London team. The role involves working closely with clients across asset management and financial services to implement API-first data management and analytics solutions. You’ll collaborate with Product and Engineering teams to design … Build and configure technical solutions using APIs, Python, and SQL Develop integrations with client and third-party systems Translate business and functional requirements into scalable solutions Support clients with data modelling, product configuration, and workflow design Requirements: Strong proficiency in Python and SQL (essential) Experience with investment data, trade lifecycle, and multi-asset products Exposure to systems More ❯

Microsoft’s ecosystem and the ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication skills with More ❯

specialize in providing a seamless recruitment experience for clients and candidates, fostering innovation and professional growth. Our client is an established fintech scale-up transforming how digital platforms use data to support smarter financial decisions. They’ve grown rapidly across the UK, Europe, and North America, with backing from a respected investment group. Their culture is data-driven … Role We’re looking for a Senior Analytics Engineer to help build and evolve a world-class analytics environment. You’ll take ownership of designing, developing, and maintaining scalable data pipelines and models that power decision-making across multiple business areas. This is a hands-on technical role where you’ll bridge data engineering and analytics, working closely … with teams in product, finance, and technology to translate complex business questions into accessible, trustworthy datasets and visualisations. What You’ll Do Build and optimise robust data models in SQL and dbt Develop automated data pipelines and ensure strong data governance standards Partner with analysts, product managers, and engineers to develop data solutions and dashboards Create More ❯

the RegTech space that’s transforming regulatory reporting and compliance for the world’s largest financial institutions. Their platform automates the reconciliation, validation, and submission of complex derivative transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML … and intelligent automation initiatives across the platform. This role is ideal for someone with a strong ML engineering background, excellent stakeholder engagement skills, and deep familiarity with financial services data, regulatory logic, or post-trade workflows. Key Responsibilities: Own and evolve the firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. … Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch, or similar tools. Collaborate with data engineering to build reliable, secure, and scalable data pipelines that support training, inference, and monitoring of ML models. Drive the operationalisation of ML workflows using modern MLOps tools and frameworks. Ensure reproducibility, versioning More ❯