6 of 6 Temporary Data Pipeline Jobs in the UK excluding London

Manager, Data & Analytics, Global Insight (London-based) Hybrid working - Central London office Salary and benefits in line with industry Job Reference J12978 Reporting to: VP, Data & Analytics (New York) About Fremantle Join the place creatives call home! Fremantle is a world leader in creating, producing and distributing across Entertainment, Drama, Film and Documentary content. Our formats … and coaching to a growing team of data analysts, data engineers, and a data visualisation specialist Oversee project delivery across data pipeline development, analytics, and dashboard/report building in Power BI Work closely with the VP (based in NY) to translate strategic objectives into operational plans for the London team … team members, conducting 1:1s, development planning, performance reviews, and supporting wellbeing Coordinate and prioritise team workload to balance proactive development and reactive support tasks Support data pipeline architecture, monitoring and optimisation in Microsoft Fabric and Azure Data Factory Uphold and promote best practices in data governance, quality, and documentation, in alignment with More ❯

users worldwide. Joining this team means becoming part of a culture that values curiosity, collaboration, and a deep commitment to quality and impact. Your New Role As a Data Engineer, you'll be instrumental in designing, building, and optimising data pipelines and infrastructure that support advanced analytics and modelling. You'll collaborate with cross-functional teams … to manage complex ETL processes, implement best practices in code management, and ensure seamless data flow across platforms. Projects may include connecting SharePoint to Databricks, optimising Spark jobs, and managing GitHub-based code promotion workflows. This is a hybrid role based in London, with 1-2 days per week in the office. What You'll Need to Succeed … You'll bring 5+ years of data engineering experience, with expert-level skills in Python and/or Scala, SQL, and Apache Spark. You're highly proficient with Databricks and Databricks Asset Bundles, and have a strong understanding of data transformation best practices. Experience with GitHub, DBT, and handling large structured and unstructured datasets is essential. More ❯

the prevention, detection and investigation of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in … a dynamic environment. The role is critical in project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They … we receive a significant number of applications. Interviews will be held Online on 5th August 2025. Main duties of the job Collaboration across functions is essential to align data science initiatives with NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. More ❯

the prevention, detection and investigation of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in … a dynamic environment. The role is critical in project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They … we receive a significant number of applications. Interviews will be held Online on 5th August 2025. Main duties of the job Collaboration across functions is essential to align data science initiatives with NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. More ❯

in support of national and regional projects. The post-holder will bring, and be supported to further develop, real technical analytical expertise across disciplines such as modelling, statistics, data science, operational research and/or health economics. The post-holder will be passionate about the contribution they can make to effective decision making. They will be experienced in … Job responsibilities Gather, analyse and interpret complex information, including both quantitative and qualitative, from a wide range of sources taking account of confidentiality and the limitations of the data used. Translate verbal and written business requirements into briefs for analytical projects Review and appraise published research, grey literature, healthcare policies and organisational activity and financial plans Hold extensive … knowledge of NHS data and able to create linked datasets Select and apply the most appropriate analytical technique, underpinned by robust statistical understanding Provide advanced analytical services to strategic healthcare projects and programmes in the form of descriptive analyses, prospective service modelling, retrospective analyses and evaluation Utilise modelling and forecasting techniques to predict future need and demand. Lead More ❯

in support of national and regional projects. The post-holder will bring, and be supported to further develop, real technical analytical expertise across disciplines such as modelling, statistics, data science, operational research and/or health economics. The post-holder will be passionate about the contribution they can make to effective decision making. They will be experienced in … Job responsibilities Gather, analyse and interpret complex information, including both quantitative and qualitative, from a wide range of sources taking account of confidentiality and the limitations of the data used. Translate verbal and written business requirements into briefs for analytical projects Review and appraise published research, grey literature, healthcare policies and organisational activity and financial plans Hold extensive … knowledge of NHS data and able to create linked datasets Select and apply the most appropriate analytical technique, underpinned by robust statistical understanding Provide advanced analytical services to strategic healthcare projects and programmes in the form of descriptive analyses, prospective service modelling, retrospective analyses and evaluation Utilise modelling and forecasting techniques to predict future need and demand. Lead More ❯