24 of 24 Data Modelling Jobs in Cambridge

laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD … and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and … other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory More ❯

Social network you want to login/join with: Data Architect (Customer Data), Cambridge Client: Abcam Location: Cambridge, United Kingdom Job Category: Other EU work permit required: Yes Job Reference: c3184f81221c Job Views: 4 Posted: 02.06.2025 Expiry Date: 17.07.2025 Job Description: Company Description For over 20 years, Abcam has been providing tools the scientific community needs to enable … on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly bring progress forward. Job Description We are looking for a Data Architect to set the vision for the organisation’s use of customer data, through data design, to meet business needs. You should know how to analyze and … profile data sources, model data at destinations (warehouses and others), define system requirements, and implement migration methods for existing data. Hands-on experience with SQL and PL/SQL is essential, as we use Oracle and other storage systems. Familiarity with dbt (data build tool) is preferred. Experience with data visualization tools (e.g., Tableau), AWS basics More ❯

Social network you want to login/join with: Data Architect (Product Data), Cambridge col-narrow-left Client: Abcam Location: Cambridge, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 871e7a8afdb4 Job Views: 11 Posted: 17.06.2025 Expiry Date: 01.08.2025 col-wide Job Description: Company Description For over 20 years, Abcam has … on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly bring progress forward. Job Description We are looking for a Data Architect to set the vision for the organisation’s use of product data, through data design, to meet business needs. For this role, you should know how … to analyse data models at source, model data at destinations (warehouses and other), define system requirements, and implement migration methods for existing data. Hands-on experience with SQL and PL/SQL is essential, as we use Oracle and other storage systems. Ideally, you are familiar with data visualization techniques using relevant tools (e.g. Tableau), and with More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. … Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks, and More ❯

across the organization, fostering continual improvement and innovation. We support clients with incubation services and ready-made capabilities, backed by smart, execution-focused practitioners. The Role Are you a data enthusiast passionate about transforming raw information into meaningful insights? We’re looking for a talented Fabric/Data Consultant with expertise in Azure and Power BI to join … our dynamic team. This role is ideal for someone who enjoys working with cutting-edge technology, developing robust data architectures, and leading strategic business intelligence initiatives. If you're excited about helping organizations unlock their data's full potential, we’d love to hear from you. Proven experience in data engineering with exposure to Azure Synapse, Azure … Data Factory, or Databricks. Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. A genuine interest in data science and a drive to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a More ❯

unique perspectives to make an impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly drive science forward. The Data Engineer will be responsible for ensuring data availability, reliability and security, through the administration of modern data warehousing solutions, as well as spearheading the design, build, and … maintenance of robust data products and pipelines for AI. This position reports to the AI Sales Integration Manager and is part of the Data Science and AI Team at Abcam/Danaher and can either be onsite in Cambridge, UK, or remote. This role will initially be a 12-month fixed-term contract with the possibility of extension. … In this role, you will have the opportunity to: Build and optimize data products and pipelines from various sources, ensuring data availability, quality, and reliability. Administer and maintain databases (Snowflake, Redshift), ensuring optimal performance and reliability, with a focus on the design, implementation and management of data models, schemas and tables. Manage user access, roles, and permissions. More ❯

Job DescriptionJob Description At EverQuote, we're embarking on an exciting transformation in our approach to data management, moving towards a Data Mesh as our future state. As the Engineering Manager - Data Enablement, you will be responsible for leading a team of engineers focused on building and scaling the EQ data platform. You will provide technical … leadership to drive best practices in data engineering, data governance, and data product development, while also being a people leader—mentoring engineers, fostering career growth, and ensuring effective team collaboration. Your team works closely with data analytics, data science, and software engineering teams to develop the tools, frameworks, and platforms that enable teams to build … reliable, scalable, and well-governed data products. You will play a key role in helping us shape our data mesh strategy acting as a conduit between engineering and analytics. Who you are: Strong experience in data engineering, particularly in building scalable data platforms using cloud- technologies. Experience with modern data stack tools like dbt, Snowflake More ❯

Salary: £49,100-£64,600 with an average profit share of £3,532-£10,861. Softwire is one of the UK's leading digital technology consultancies, offering services in data, AI, cloud, CX, innovation, design, and software engineering. We deliver high-profile, mission-critical, and transformational projects for household names across the public and private sectors. Founded on the … clients. Our culture and values emphasize doing jobs properly, making work fulfilling and fun, extending kindness, and trusting each other to reduce bureaucracy. In brief We seek well-rounded data engineers capable of tackling complex data challenges, impressing clients, and impacting team output. We offer a supportive environment with career development, mentorship, and diverse project opportunities. You will … work with talented developers and data engineers, supported by a Technical Lead, on projects such as: Data modeling for Moorfields Eye Hospital's INSIGHT programme Maintaining data pipelines and dashboards on Elexon's Azure platform Implementing AI transcription services for the BBC using GenAI Migrating legacy Excel workflows for a financial services firm Modeling data for More ❯

you want to login/join with: This role requires eligibility for Security Clearance, hence we can only consider UK citizens Required skillset summary: Creation of dashboards, reports; Fusion Data Intelligence and Oracle Analytics Cloud - OAC - necessary; Job Title: Principal Engineer, CSS Delivery - Analytics Job Summary: We are seeking a highly skilled Oracle OCI OBl Analytics Engineer with expertise … Your extensive experience with OBIEE, ODI, BIApps, OAC, OAS, Fusion Analytics Warehouse, and OCI in general will be instrumental in driving the success of our analytics initiatives and enabling data-driven decision-making. Responsibilities: Solution Design and Development: Collaborate with cross-functional teams to understand business requirements and design end-to-end analytics solutions in OCI. Leverage your expertise … and Optimization: Build and configure OCI-based analytics solutions, ensuring alignment with best practices and industry standards. Optimize performance by fine-tuning queries, implementing caching strategies, and designing efficient data models. Data Integration and Transformation: Work closely with data engineering teams to define and implement data integration workflows using ODI and other relevant tools. Ensure seamless More ❯

make an always greater impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly bring progress forward. Job Description Data Engineering at Abcam We are seeking a Data Engineer to join our Data Engineering team at our Cambridge Head Office. The ideal candidate will collaborate with engineers … leverage technology to impact our business. The role offers hybrid working: 3 days in the office and 2 days remote. In this role, you will: Promote best practices for data products and services within your team. Collaborate to identify, plan, develop, and deliver data services for key projects. Work with Digital team members to support various workstreams. Manage … and analyze data securely, efficiently, and with proper governance. Implement and optimize data pipelines, modelling, and availability to accelerate deployment. Ensure high-quality delivery aligned with business needs. Partner with data architects, TechOps engineers, and stakeholders to build high-performing solutions. Apply pragmatic and innovative approaches to data-driven decision making. Collaborate across teams to More ❯

engineer who is passionate about solving problems and building things. You will collaborate with a talented team of scientists, research engineers, and platform engineers to build and deploy scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You … and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to … researchers and leadership · Work with our legal and trust teams to ensure compliant and ethical use of data · Develop data pipelines into secure remote environments respecting and demonstrating security best practices · Integrate with orchestration and lineage systems · Write testable code that is well documented and easy to understand · Analyse errors and provide solutions to problems that arise · Identify More ❯

single area/department within the business. You will be joining our development team of around 25 people. About the Job We are seeking a highly skilled and experienced Data Migration and Integration Expert to join our team. The ideal candidate will possess deep expertise in performing data migrations from various data sources to Microsoft DataVerse, along … with strong proficiency in Microsoft Fabric, Power BI, Power Automate, Azure Logic Apps, Dynamics 365 CE and data integration techniques. This role requires a detail-oriented professional with a passion for data accuracy, seamless integration, and the ability to transform complex data into meaningful insights. Responsibilities: Data Migration: Plan, execute, and manage data migration projects … from diverse data sources (Dynamics 365, SQL, Oracle, Excel, etc.) to Microsoft DataVerse. Develop and implement data migration strategies ensuring data integrity, accuracy, and security. Troubleshoot and resolve data migration issues, optimising the process for efficiency. DataVerse Expertise: Serve as the in-house expert on Microsoft DataVerse, ensuring best practices and optimal use of the platform. More ❯

months. You'll be responsible for creating new and working on existing dashboards across a range of exciting project. Requirements: Strong Power BI experience Experience with ETL pipelines, data modelling, SQL Azure Data Factory experience Ideally: Experience with Power Platform integrations IT Service Management knowledge More ❯

Qualifications Key Skills 1) Strong functional understanding of physical trading preferably Gas and/or Power, ideally including complex contract optionality and portfolio and schedule optimization, Knowledge of Options modelling and Dependency graphs. 2) Demonstrated capability across most of the following architecture facets: a. Data – Deep knowledge of data modelling for both transactional and analytic use … cases, familiarity with real-time reporting techniques (including distributed caching), vendor and bespoke reporting tools, data migration and reconciliation techniques and tools. Familiarity with MongoDB unstructured Database. b. Technical – Hands-on Expert with demonstrated experience in architecture and design patterns, their usage, implementation and implications, including documenting and agreeing the design inclusive of the trade-offs for commodity trading More ❯

Social network you want to login/join with: Be part of an ambitious digital transformation journey, modernising the data foundations of a fast-paced, growing organisation driving operational excellence across the UK and Ireland. The Role: Reporting into the Head of Data and Emerging Technologies, this is a hands-on Data Architect role ideal for someone … payroll, time and attendance, and task management – forming the backbone of a multi-year digital shift. You won’t just be building – you’ll be collaborating across teams, influencing data modelling decisions, shaping modern data flows, and helping define what “good” looks like in a blank-slate environment. Key Skills & Experience: Must-have: Experience with API integration … Azure Stack , and Azure Logic Apps Experience supporting or delivering integration projects , ideally in operational systems Familiarity with data modelling techniques and tools Exposure to the Microsoft Power Platform and RESTful APIs (e.g. JSON) a bonus Strong communication skills – comfortable working with both technical and non-technical teams Industry familiarity with facilities , support services , or field-based operations More ❯

Social network you want to login/join with: Principal Data and AI Engineer, cambridge col-narrow-left Client: Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 07.06.2025 Expiry Date: 22.07.2025 col-wide Job Description: Reimagine enterprise data and content operations at massive scale! As the Principal Data and … drive technical innovation and lead a talented team focused on the ingestion, curation, and organization of the world's IT assets. Your mission: transform vast amounts of semi-structured data into trusted insights, empowering customers to manage and optimize their IT landscapes—including hardware, software, SaaS, cloud, containers, AI services, and more. Key Responsibilities: Strategic Ownership Define and evolve … the long-term strategy for data and content operations at scale. Balance current realities with an ambitious roadmap toward future innovation. Lead automation efforts in data normalization, enrichment, and quality assurance using AI/ML and Agentic AI. Align technical direction with business priorities to shape the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data More ❯

elucidate the pathogenesis of chronic diseases and to use that knowledge to develop pioneering new therapies. We are seeking an innovative and highly skilled AI Scientist to join our Data Science & Genomics team . In this role, you will focus on leveraging foundational AI architectures to analyse spatial genomics and single-cell genomics human disease data to elucidate … Science, Cell or similar). Expertise in training and inference of large AI/ML models on GPUs , including transformer and VAE architectures. Experience with spatial and single-cell data modelling and their application to biological questions. Strong programming skills in Python, TensorFlow/PyTorch, and familiarity with AWS cloud infrastructure. Demonstrable track record of applying AI to More ❯

experience. The role involves 80% independent work and 20% oversight by the Client's Manager. Day-to-Day Responsibilities: Collaborate with the Engineering team to review their work and data models. Support the release process of projects. Manage downstream visualization tasks. Review and draft technical documents. Provide oversight of engineering activities. Ensure projects progress smoothly and on schedule. Must … Have Skills and Experience: GxP compliance knowledge. Experience with Snowflake Data Warehouse management. Ability to collect data from CMO and utilize Snowflake for data processing and visualization. Understanding of various data formats such as flat files, PDFs, XML, etc. Nice-to-Have Skills: Experience in Oncology Small Molecules. Knowledge of PII data safety protocols. Experience More ❯

equivalent) relevant to these areas: Essentials skills: Strong skills in server-side logic using languages such as Node.js, Python, or Java. Experience with both SQL and NoSQL databases, including data modelling for government applications. Proficient in analyzing complex issues and implementing effective solutions for public sector challenges. Flexibility to navigate changing project requirements in the dynamic public sector More ❯

and will be central to supporting financial decision-making and driving performance in a fast-scaling, subscription-based business. The ideal candidate will bring a strong background in financial modelling and reporting within a SaaS or subscription-based environment , with a solid understanding of industry-specific metrics such as Annual Recurring Revenue (ARR) , customer retention, and subscription cohort analysis. … and maintain financial models and forecasting tools tailored to a subscription-based revenue model Deliver accurate and timely financial reporting and performance insights Partner with business stakeholders to support data-driven decision making Contribute to ongoing finance and data infrastructure improvements, including automation of reporting processes Preferred Experience and Skills: Previous experience in a similar FP&A role … or subscription-based business Strong understanding of SaaS metrics and financial concepts (e.g. ARR, MRR, churn) Proven ability to work independently and proactively in a dynamic environment Experience with data modelling, business intelligence tools, and financial systems Familiarity with tools such as Adaptive Insights (or similar FP&A tools) is a plus This role will be involved in More ❯

Social network you want to login/join with: Tokenovate is a next-generation post-trade automation platform for derivatives and SFTs . Our unified, data-agnostic solution ensures automated and seamless transaction processing across all asset classes, products and market infrastructures — no matter what you trade or where your assets are held. By operationalising and embedding industry standards … platform, enabling features such as post-trade automation, collateral mobility, regulatory reporting, and auditability. This is a hands-on technical leadership position ideal for someone with strong experience in modelling complex domains and building resilient, data and event driven architectures. WHAT YOU'LL DO Architecture & Engineering Design and implement services around the FINOS CDM, aligning closely with formal … or similar messaging platforms to deliver asynchronous, high-throughput event processing. Translate business logic and financial workflows into formal domain models and DSLs for contract representation and automation. Champion data modelling standards to ensure traceability and semantic clarity across trade events and asset lifecycles. Collaboration & Technical Leadership Partner with product owners, legal experts, and other engineers to deliver More ❯

cases at Amazon. We are responsible for managing all aspects of a subscription's and digital ordering lifecycle at scale and providing the right extensibility in our APIs and data model to support the rapidly growing customization needs by the businesses that we support, among which are some the biggest and most complex at Amazon such as Prime world … from the ground up, you will have an opportunity to make a long-lasting impact! To be successful in this position you will have a strong background in Algorithms, Data Structures, Java, and NoSQL. The ability to communicate clearly and concisely (both written and orally) and work well in a team are key competencies. You should be able to More ❯

the University Department of Psychiatry, clinical institutions such as Cambridgeshire and Peterborough NHS Foundation Trust, and with a secondment to industry (Akrivia Health) to advance science and develop common data models for electronic health records of people with mental disorders, under the guidance of Dr Osimo and Prof Murray at Cambridge, and a line manager to be selected at … Akrivia Health. The aim of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work with a multidisciplinary team of clinicians, data scientists, and data engineers to conduct epidemiological research on large-scale electronic datasets and … develop common data model specifications specific to mental health EHRs. The team conducts research using de-identified EHR data acquired through the Clinical Records Anonymisation and Text Extraction (CRATE) and Clinical Record Interactive Search (CRIS) tools which enable the assembly of data from patients receiving mental healthcare in UK NHS mental health trusts. The research programme is More ❯

digital collection materials from creation or acquisition through to access, use, and re-use, ensuring accessibility for current and future users. These collections include digitised images, research publications and data, and born-digital archives. Within the Digital Preservation team and reporting to the Head of Digital Preservation, the Metadata Specialist will focus on metadata management to support digital preservation … and access. The role involves ensuring metadata exists within systems, developing data models and schemas, and optimizing processes around collection metadata. The key activities include: Analyzing and evaluating existing metadata workflows for digital collections. Cleaning, transforming, optimizing, and enriching metadata to support collection management and improve efficiency. Informing how metadata is consumed by current and future systems. Promoting the More ❯