1 to 25 of 1,038 Big Data Jobs in the UK excluding London

Job Description: We are seeking a highly skilled and visionary Director of Data Platforms and Architecture to lead the design, development, and governance of our enterprise-wide Snacking data platform ecosystem. This individual will be responsible for driving platform strategy, fostering innovation, and ensuring robust data architecture that empower multiple products and capabilities to power business decisions … scalability, and operational excellence. As a strategic leader, the Director of Data Platforms and Architecture will oversee the implementation and optimization of cutting-edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term vision for enterprise data platforms and architecture, ensuring alignment with organizational goals and priorities. Collaborate with C-level executives and business leaders to identify opportunities for leveraging data as a More ❯

working for the Universityof Birmingham Background Over the next decade, our aspiration is to establish Birmingham in the top 50 of the world's leading universities. That is a big aspiration, and high-quality digital services and infrastructure are crucial to achieving it. In recognition of that, our Digital Strategy combined with significant investments in technology mean this is … to accessible, responsive, resilient, and secure systems and support. What we do enables our students, staff, researchers, visitors, and partners to confidently and creatively use digital services, technology, and data for the benefit of their learning, teaching, research, or work. The culture of IT Services is one of innovation, collaboration, excellence, and inclusivity, and we apply the principles of … group, bi-annual making IT happen awards recognition programme, and a superb Social Committee which arranges regular activities and events. Role Summary The University of Birmingham’s digital and data landscape is undergoing major transformation. One of the underpinning elements of our Digital Strategy is to move our on-premise warehousing and reporting to the cloud, investing in new More ❯

Infor Farnborough, England, United Kingdom Join or sign in to find your next job Join to apply for the Data Management Architect role at Infor Infor Farnborough, England, United Kingdom 3 days ago Be among the first 25 applicants Join to apply for the Data Management Architect role at Infor The role supports our business plan by enabling … can handle more projects without overburdening the team, maintain high-quality delivery, and effectively manage risks, all of which are critical to our long-term success. Position Summary A Data Services Solution Architect is a technical leader responsible for designing and implementing solutions that manage, analyze, and utilize data effectively. Their role bridges business needs with technical execution … ensuring that data systems are scalable, reliable, and aligned with the project's goals. Essential Duties of a Data Services Solution Architect 1. Data Solution Design and Integration a. Architect scalable solutions for data conversions, migrations, and integrations across systems. b. Ensure smooth data flow between legacy and modern platforms during transitions. 2. Data More ❯

Social network you want to login/join with: Data Architect (Enterprise Data Foundations), Slough col-narrow-left Client: Mars Location: Slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 5770903661a6 Job Views: 4 Posted: 02.06.2025 Expiry Date: 17.07.2025 col-wide Job Description: JOB DESCRIPTION Job Description: Come become a part … of a vibrant CDO team serving Mars Snacking Enterprise. Our team helps build the Data Platforms, Model & Engineer data products, craft Analytical products and Integrations to be a truly data driven growth engine. As we continue to expand and transform digitally, we’re actively seeking an experienced and skilled Data Architect to help model, build and … own our Enterprise Data Foundations. This is a pivotal role that involves conceptualizing, designing and overseeing the implementation, and optimizing global data models to deliver value throughout the organisation. You’ll be designing and driving delivery of data products with a major focus on marketing, DCOM and overall Demand functions that will be the foundational pillars for More ❯

Europe's leading Google Cloud specialist consultancy. We're a team that's energised by innovation and delivering exceptional results for our clients. We deliver cutting edge solutions across data and analytics, AI, cloud infrastructure or security that drive digital transformation and enable our customers to scale, modernise and thrive. In joining Qodea, you'll work alongside specialists in … motivated and energetic people who are eager to learn and grow, so if you want to supercharge your career, join Qodea! What you'll do: Develop and maintain automated data processing pipelines using Google Cloud: Design, build, and maintain data pipelines to support data ingestion, ETL, and storage Build and maintain automated data pipelines to monitor … data quality and troubleshoot issues Implement and maintain databases and data storage solutions: Stay up-to-date with emerging trends and technologies in big data and data engineering Ensure data quality, accuracy, and completeness Implement and enforce data governance policies and procedures to ensure data quality and accuracy: Collaborate with data More ❯

about our people, customers and quality of work differentiates us. We always support our people and customers to achieve shared, agreed goals. Role Overview: As a Senior Technical Consultant - Data and AI, you will be responsible for designing, implementing, and optimizing data and AI solutions for our clients. You will work closely with clients to understand their business … needs and translate them into technical solutions that leverage the latest technologies in data and AI. This role requires a deep understanding of data architecture, machine learning, and AI technologies, as well as strong problem-solving and communication skills. Key Responsibilities: Design and implement data and AI solutions that meet client requirements. Collaborate with clients to understand … their business needs and translate them into technical solutions. Develop and maintain data pipelines, data warehouses, and data lakes using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services, and Databricks. Provide technical leadership and mentorship to More ❯

Description Data System Reliability Engineer (dSRE) Role Overview: A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the our data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly. Accountabilities: Automate data tasks on GCP Work with data domain owners, data scientists and other stakeholders to ensure that data is consumed effectively on GCP Design, build, secure and maintain data infrastructure, including data pipelines, databases, data warehouses, and data processing platforms on GCP Measure and monitor the quality of data on GCP data platforms Implement robust monitoring and alerting … systems to proactively identify and resolve issues in data systems. Respond to incidents promptly to minimize downtime and data loss. Develop automation scripts and tools to streamline data operations and make them scalable to accommodate growing data volumes and user traffic. Optimize data systems to ensure efficient data processing, reduce latency, and improve overall More ❯

delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities IBM is seeking a skilled Senior Data Engineer to join our dynamic team, focusing on public sector accounts. This role offers an exciting opportunity to leverage your expertise in data engineering to drive impactful solutions … for government clients. The Senior Data Engineer will be responsible for designing, developing, and managing scalable data pipelines, integrating heterogeneous systems, and implementing robust data models. The ideal candidate will collaborate with cross-functional teams to ensure data integrity, security, and availability, while meeting regulatory requirements specific to the public sector. Required education None Preferred education … Bachelor's Degree Required technical and professional expertise Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists and engineers to integrate complex data systems. Ensure data quality, accuracy, and reliability through testing and validation procedures. Develop and implement data storage solutions, including data modeling and schema design. Provide More ❯

Data Scientist - Grid Innovation Model Development (Energy Sector Experience Required) Join to apply for the Data Scientist - Grid Innovation Model Development (Energy Sector Experience Required) role at Energy Job Search Data Scientist - Grid Innovation Model Development (Energy Sector Experience Required) 2 days ago Be among the first 25 applicants Join to apply for the Data Scientist … safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world? We are seeking a dynamic, forward-thinking, and results-driven Data Scientist who will primarily focus on deriving advanced models for grid innovation applications. Reporting to the AI leader in the CTO organization, the Data Scientist will collaborate closely … candidate should have significant experience in the energy sector, specifically in grid automation and energy systems. This role will be responsible for designing and building a common framework for data storage, analytics, and AI model deployment. The Data Scientist will work across different functions within Grid Automation (GA) to identify opportunities for leveraging data and AI to More ❯

and fast. Our unique blend of technology and financial services makes it an environment you won't get elsewhere. Role Description: We are seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will play a crucial role in developing and implementing cutting-edge AI and machine learning models to extract … valuable insights from large datasets. You will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the development of innovative solutions. Responsibilities: Data Modeling and Evaluation: Utilize advanced statistical and machine learning techniques, including Gen AI technologies, to analyze and interpret complex datasets.Evaluate model performance and iterate on models to improve accuracy and … efficiency, especially in the context of Gen AI technologies. Data Processing : Analyze large, complex datasets to identify trends, patterns, and insights relevant to financial markets, customer behavior, and business performance.Pre-process and clean large datasets to extract relevant features for modeling, with an emphasis on Gen AI data preprocessing techniques.Collaborate with data engineers to ensure data More ❯

Join to apply for the Core Data Engineer role at Optima Partners Join to apply for the Core Data Engineer role at Optima Partners The Role As a Core Data Engineer, you will play a pivotal role in designing, building, and optimising data pipelines, architectures, and workflows for our diverse client base. You’ll work within … dynamic, multi-disciplinary project teams to implement scalable data solutions while adhering to best practices and emerging trends in data engineering. The Role As a Core Data Engineer, you will play a pivotal role in designing, building, and optimising data pipelines, architectures, and workflows for our diverse client base. You’ll work within dynamic, multi-disciplinary … project teams to implement scalable data solutions while adhering to best practices and emerging trends in data engineering. This is an exciting and valuable opportunity for an enthusiastic, earlier-stage data engineer to advance their career across a variety of commercial sectors. At Optima, you’ll work within cross-functional teams, collaborating with experts in different fields More ❯

As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. The Senior Data Engineer will work closely with the data, Architecture, Business Analyst, Data Stewards to integrate and … align requirements, specifications and constraints of each element of the requirement. They will also need to help identify gaps in resources, technology, or capabilities required, and work with the data engineering team to identify and implement solutions where appropriate. Work type: Contract Length: initial 6 months Work structure: hybrid 2 days a week in London. Primary Responsibilities: Integrate data from multiple on prem and cloud sources and systems. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting. Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare More ❯

As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. The Senior Data Engineer will work closely with the data, Architecture, Business Analyst, Data Stewards to integrate and … align requirements, specifications and constraints of each element of the requirement. They will also need to help identify gaps in resources, technology, or capabilities required, and work with the data engineering team to identify and implement solutions where appropriate. Work type: Contract Length: initial 6 months Work structure: hybrid 2 days a week in London. Primary Responsibilities: Integrate data from multiple on prem and cloud sources and systems. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting. Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare More ❯

As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. The Senior Data Engineer will work closely with the data, Architecture, Business Analyst, Data Stewards to integrate and … align requirements, specifications and constraints of each element of the requirement. They will also need to help identify gaps in resources, technology, or capabilities required, and work with the data engineering team to identify and implement solutions where appropriate. Work type: Contract Length: initial 6 months Work structure: hybrid 2 days a week in London. Primary Responsibilities: Integrate data from multiple on prem and cloud sources and systems. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting. Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare More ❯

As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. The Senior Data Engineer will work closely with the data, Architecture, Business Analyst, Data Stewards to integrate and … align requirements, specifications and constraints of each element of the requirement. They will also need to help identify gaps in resources, technology, or capabilities required, and work with the data engineering team to identify and implement solutions where appropriate. Work type: Contract Length: initial 6 months Work structure: hybrid 2 days a week in London. Primary Responsibilities: Integrate data from multiple on prem and cloud sources and systems. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting. Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare More ❯

CloudXcel is a technology-driven company dedicated to providing innovative cloud solutions to businesses worldwide. Our mission is to empower organizations to harness the full potential of their data in the cloud, unlocking insights and driving transformation. With a commitment to cutting-edge technologies and a dynamic, inclusive work environment, we foster growth, creativity, and innovation. Overview: CloudXcel is … seeking a talented and highly motivated Cloud Data Engineer with expertise in Python to join our team. In this role, you will work closely with cross-functional teams to design, develop, and optimize cloud-based data pipelines and infrastructure. The ideal candidate is passionate about data engineering, proficient in Python, and eager to solve complex challenges in … a fast-paced, collaborative environment. Key Responsibilities: Design, develop, and maintain scalable cloud-based data pipelines to collect, process, and analyze large datasets. Build and optimize ETL workflows to ensure efficient data integration and processing. Collaborate with data scientists, analysts, and engineers to support data modeling, analytics, and reporting needs. Leverage Python to implement robust data More ❯

Join to apply for the Senior Data Engineer role at IBM . 2 days ago Be among the first 25 applicants. Introduction In this role, you’ll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), delivering deep technical and industry expertise to clients worldwide. Our centres provide local skills and technical expertise to foster innovation … sabbaticals, and parental leave schemes. Traditional benefits like holiday allowance, discounts, Employee Assistance Program, and a pension plan with company contributions. Your Role and Responsibilities We seek a Senior Data Engineer to focus on public sector accounts, designing and managing scalable data pipelines, integrating heterogeneous systems, and implementing data models. You will collaborate with cross-functional teams … to ensure data integrity, security, and compliance with public sector regulations. Preferred Education Bachelor's Degree in Computer Science, Information Systems, or related field. Responsibilities Design, build, and maintain data pipelines and ETL processes. Collaborate with data scientists and engineers on complex data systems. Ensure data quality and reliability through testing and validation. Develop data More ❯

and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent … optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software More ❯

and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent … optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software More ❯

and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent … optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software More ❯

and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent … optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software More ❯

Lead Data Scientist (Equity Only) - 1% Job Description: As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and extract insights. You will collaborate with cross-functional teams to develop data-driven solutions and shape our data strategy. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. … Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and pattern analysis. Create KPIs, dashboards, and visualizations to support decision-making. Perform exploratory data analysis to identify trends and insights. Work with … data engineers on data architecture, quality, and governance. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data More ❯

Company description: At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable … Place To Work. This prestigious award is based entirely on what current employees say about their experience working at Circana. Job description: We are seeking a skilled and motivated Data Engineer to join a growing global team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud … platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a desire to make a significant impact, we encourage you to apply! Job Responsibilities ETL/ELT Pipeline Development: Design, develop More ❯

Lead Data Scientist (Equity Only) - 1% Job Description As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and extract insights. Collaborate with cross-functional teams to develop data-driven solutions, shape data strategy, and drive business growth. Responsibilities Understand business objectives, identify data requirements, and define analytics … goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. … Work with data engineers to optimise data architecture, quality, and governance. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS services like Redshift, Athena, EMR, and QuickSight. Understanding of data modelling, ETL, data warehousing, and machine More ❯

Lead Data Scientist (Equity Only) - 1% Job Description As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data, develop data-driven solutions, and provide actionable insights. You will work with cross-functional teams, including data engineers, product managers, and stakeholders, to shape our data strategy and support business … growth. Responsibilities Collaborate with teams to understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Create dashboards and KPIs with Amazon QuickSight … for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist in a cloud environment, preferably with AWS. Proficiency in AWS analytics More ❯