1 to 25 of 401 Use Case Jobs in the UK

needs Model data in the warehouse or lakehouse—dimensional, Data Vault, One Big Table or domain-driven approaches, fit to the use case Build and maintain transformation layers in dbt (or equivalent), with appropriate testing, documentation and lineage Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent … Snowflake, BigQuery, Redshift, Synapse, Databricks) Implement data quality, testing, monitoring and observability across pipelines and models Build streaming pipelines where the use case warrants it (Kafka, Kinesis, Pub/Sub, Flink) Partner with analysts, scientists, BI developers and ML engineers to deliver the data products they need ...

industry leaders — helping them understand what AI can and cannot do, and what good looks like. Shape AI programmes, including use case prioritisation, adoption strategies, governance frameworks, ethical risk considerations and operating model implications. Lead multidisciplinary teams through AI-enabled transformation, setting direction, maintaining quality and owning … technical audiences. Credibility in Defence, national security, government or similarly complex, high-stakes environments. Experience shaping AI strategies, including use case identification, prioritisation frameworks, governance design and adoption planning. A practical understanding of the risks, limitations and organisational challenges of AI adoption — not just the opportunities. Strong ...

Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data architecture standards. What ...

within esure’s industry-leading data platform Develop and optimise data pipelines, ensuring high-quality, reliable and accessible datasets for analytics and AI use cases Collaborate with product managers and cross-functional agile squads to deliver data-driven solutions, including GenAI applications Integrate and transform data from multiple ...

problem solver with a hands-on engineering mindset Comfortable working in a fast-paced, evolving environment Ability to bridge data engineering and AI use cases Proactive, collaborative, and delivery-focused Additional Information This organisation is part of the Disability Confident scheme and Armed Forces Covenant. Candidates eligible ...

data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling ...

design and execute ambitious business strategies and goals Create Business Requirement Documents (BRD), Functional Requirement Documents (FRD), user stories, process flows, and use cases. Analyse existing business processes and identify opportunities for improvement and automation. Collaborate with development and quality assurance teams throughout the software development lifecycle (SDLC ...

design and execute ambitious business strategies and goals Create Business Requirement Documents (BRD), Functional Requirement Documents (FRD), user stories, process flows, and use cases. Analyse existing business processes and identify opportunities for improvement and automation. Collaborate with development and quality assurance teams throughout the software development lifecycle (SDLC ...

monitored. Support cloud and hybrid environments including Azure, AWS, and on-premises infrastructure. Create dashboards, reports, and analytics to support operational and security use cases. Document solutions, operational procedures, and technical designs. Participate in change management, testing, and production deployments. Provide technical guidance and knowledge transfer to operational ...

remove blockers throughout the data supply chain. You produce demos and MVPs for analysis and to test out possible solutions that you can use to demonstrate ideas or gaps. You take an iterative approach to solving complex problems and seek feedback to quickly arrive at the best result. … data architecture. This includes working with the Data Architect to understand team needs, use cases, and constraints for the use case data ecosystems. Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs. ...

across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience ...

Doing Defining and evolving enterprise, domain and solution-level data architecture Designing logical and physical data models for operational, analytical and AI use cases Establishing architecture standards, patterns, principles and governance frameworks Providing technical leadership and architectural assurance across delivery teams Collaborating with stakeholders across technology, data, analytics ...

Doing Defining and evolving enterprise, domain and solution-level data architecture Designing logical and physical data models for operational, analytical and AI use cases Establishing architecture standards, patterns, principles and governance frameworks Providing technical leadership and architectural assurance across delivery teams Collaborating with stakeholders across technology, data, analytics ...

Doing Defining and evolving enterprise, domain and solution-level data architecture Designing logical and physical data models for operational, analytical and AI use cases Establishing architecture standards, patterns, principles and governance frameworks Providing technical leadership and architectural assurance across delivery teams Collaborating with stakeholders across technology, data, analytics ...

Doing Defining and evolving enterprise, domain and solution-level data architecture Designing logical and physical data models for operational, analytical and AI use cases Establishing architecture standards, patterns, principles and governance frameworks Providing technical leadership and architectural assurance across delivery teams Collaborating with stakeholders across technology, data, analytics ...

roadmaps aligned to business and AI strategies Drive data modelling, governance, integration and interoperability standards Architect solutions supporting analytics, machine learning and AI use cases Provide technical leadership across data engineering, analytics and AI delivery teams Establish best practice around security, privacy, compliance, metadata and data quality ...

working closely with public sector clients and project teams to develop and implement data engineering pipelines that support data science and business intelligence use cases. Key Responsibilities Assessing clients' technical needs and managing stakeholder relationships appropriately. Identifying, designing, and implementing ETL/ELT pipelines across on-premise, cloud ...

roadmaps, align on requirements, and deliver data-driven transformations. Establish reusable, modular data science and machine learning capabilities and patterns scalable across multiple use cases. Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners. Communicate clearly with ...

roadmaps, align on requirements, and deliver data-driven transformations. Establish reusable, modular data science and machine learning capabilities and patterns scalable across multiple use cases. Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners. Communicate clearly with ...

design and developer experience (DX) programs. CORE COMPETENCIES Platform Thinking - able to design scalable, reusable product capabilities that serve multiple business lines and use cases. Technical Acumen - comfortable engaging engineers at a meaningful level on architecture, data modeling, and integration design. Intellectual Curiosity - continuously seeks to deepen understanding ...

including large language model infrastructure, agentic frameworks and data standards such as Model Context Protocol, with the ability to translate capabilities into product use cases and business value Ability to build and sustain senior relationships with product and engineering leaders across hyperscalers and AI platform providers, influencing joint ...

Fabric, Lakehouse architecture, data pipelines or analytics engineering would be beneficial, especially where data needs to be prepared for reporting, automation or AI use cases. Role Build and ship production features across the platform, working across APIs, services, user interfaces, data integrations and AI-agent workflows. Develop scalable ...

Chief Client Office (CCO). The successful candidate will ensure alignment with enterprise data standards, and enable effective, compliant, and value-driven use of data to support client-facing functions and decision-making. This role will operate at the intersection of business, data governance, analytics, and technology, partnering … data considerations are embedded in enterprise change initiatives. AI & Innovation Leadership Contribute to the CCO’s AI enablement strategy, including use case identification, and drive adoption of AI capabilities through training, governance, and continuous improvement initiatives. Partner with enterprise data, risk, legal, compliance, and technology teams ...

data architectures Establishing and governing data architecture standards, principles, and technical patterns Designing logical and physical data models for operational, analytical, and AI use cases Providing architectural oversight and design assurance across delivery teams Supporting data governance, lineage, metadata management and data quality initiatives Contributing to long-term ...

Responsibilities Build, test, and maintain data pipelines Design logical and physical data models Support the growth of the data platform to meet new use cases Analyse data and improve processing performance Ensure data aligns with agreed architecture and standards Troubleshoot data issues and identify improvements Core Experience & Competencies ...