9 of 9 Data Modelling Jobs in Cambridge

Data Engineer. Permanent. T6/MN/1292110. 📍 Hybrid - 2 Days Onsite Weekly - Cambridgeshire. Must be Eligible to work in the UK. International Manufacturing organisation is seeking to secure a Data Engineer. Member of a small Data Engineering Team which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/… Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency. Monitor daily Data Loads & ETL workflows. AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions. Deliver UK Data Roadmap - aligned to Data Infrastructure & Business Strategy. Gather & Define Requirements - identify … new opportunities for the business/internal teams. Troubleshoot & resolve pipeline failures, reporting errors & performance bottlenecks. Validate & Reconcile Data - ensuring accuracy. SSRS, Power BI & other BI tools - User Support. Provide Governance, Security & Compliance - aligned to Data best practices. Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS More ❯

Data Engineer. Permanent. T6/MN/1292110. Is this your next job Read the full description below to find out, and do not hesitate to make an application. Hybrid - 2 Days Onsite Weekly - Cambridgeshire. Must be Eligible to work in the UK. International Manufacturing organisation is seeking to secure a Data Engineer. Member of a small Data Engineering Team which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency. Monitor daily Data Loads & ETL workflows. AWS - Support the migration of Data Services to … AWS - scalable & cloud-first solutions. Deliver UK Data Roadmap - aligned to Data Infrastructure & Business Strategy. Gather & Define Requirements - identify new opportunities for the business/internal teams. Troubleshoot & resolve pipeline failures, reporting errors & performance bottlenecks. Validate & Reconcile Data - ensuring accuracy. SSRS, Power BI & other BI tools - User Support. Provide Governance, Security & Compliance - aligned to Data best More ❯

Data Analyst - Procurement We are seeking a detail-oriented and collaborative Data Analyst to provide data standardisation for a new data management solution. This role bridges business and technical teams, ensuring data integrity, consistency, and usability across systems and processes. KEY ACCOUNTABILITIES System Deployment Support Collaborate with functional and technical teams to define data requirements for Procurement applications across a complex system landscape Assist in data migration activities: mapping, cleansing, validation, and reconciliation Analyse legacy data sources and support the data transformation into compatible formats Participate in testing cycles (e.g., UAT) to validate data accuracy and system behaviour Define and implement data standards, policies and procedures Master Data Development Contribute to the design and implementation of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into data models and feed into More ❯

Role: Senior Data Engineer (Databricks/AWS/Lakehouse) Location: Cambridge, UK (Flexible Hybrid Working) Salary: £70,000 - £90,000 basic + Comprehensive Benefits Package Are you a Data Engineer who wants to build systems that truly matter? Are you an expert in Databricks, looking for a challenge beyond just operating an existing platform? I'm hiring for … for a business-critical transformation. Your mission will be to architect, build, and lead the company on its journey to a modern Databricks Lakehouse architecture, transforming how they leverage data from robotics, manufacturing, and R&D. What You'll Actually Do: Architect and lead the greenfield design and implementation of a scalable, company-wide Databricks Lakehouse platform on AWS. … Databricks (e.g., Delta Live Tables, Databricks Workflows). Work with unique, complex, and high-volume datasets from IoT-enabled robotic systems, manufacturing lines, and core business functions. Partner with data scientists and BI teams to establish best-in-class data models, governance, and data quality standards within Delta Lake. Evangelise the benefits of the Lakehouse across the More ❯

Shape the Future of Scientific AI - Scientific Data Architects - Cambridge/London 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 … with 5+ years of Pharma/Biotech industry experience (Senior/Principal levels) Extensive knowledge of Drug Discovery, Development/Manufacturing or similar Life Science domain Fluency in Python, Data Modelling, Engineering, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews) A track record of architecting productionised scientific solutions , integrated with AI/ML and APIs More ❯

Shape the Future of Scientific AI - Scientific Data Architects - Cambridge/London 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 … with 5+ years of Pharma/Biotech industry experience (Senior/Principal levels) Extensive knowledge of Drug Discovery, Development/Manufacturing or similar Life Science domain Fluency in Python, Data Modelling, Engineering, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews) A track record of architecting productionised scientific solutions , integrated with AI/ML and APIs More ❯

What you’ll do Build, maintain, and enhance large-scale enterprise applications. Work across all stages of the SDLC- from design to deployment and support. Contribute to system architecture, data modelling, and integration design. Develop and maintain high-performance code following modern standards. Collaborate with business teams to capture requirements and translate them into technical solutions. Troubleshoot and … 5+ years’ experience in application development. Strong background with Microsoft Dynamics NAV/Business Central, including C/AL and AL languages. Knowledge of PowerApps, Power Automate, and Common Data Service (CDS). Database experience with SQL Server, Azure SQL, and MongoDB. Proficiency in REST APIs, SOAP, JSON, XML. Familiarity with Agile and DevOps approaches. Why join Work for More ❯

to Agile planning Conduct code reviews and promote engineering best practices About You: 5+ years’ professional experience with Python Strong knowledge of multithreading, concurrency, and parallelism Experience with PostgreSQL (data modelling and query tuning) Skilled in JavaScript and modern frontend development Hands-on with Docker (development, testing, deployment) Familiarity with REST APIs and version control (Git) Able to More ❯

to Agile planning Conduct code reviews and promote engineering best practices About You: 5+ years’ professional experience with Python Strong knowledge of multithreading, concurrency, and parallelism Experience with PostgreSQL (data modelling and query tuning) Skilled in JavaScript and modern frontend development Hands-on with Docker (development, testing, deployment) Familiarity with REST APIs and version control (Git) Able to More ❯