3478 jobs found

Career Opportunities: Business Analyst (11267) Requisition ID11267-Posted - Years of Experience (1) -Consulting- Where (1) Affinity Reply is a leading UK-based architecture consultancy focused exclusively on optimising IT/business alignment and minimising the cost of business and technology change. We distinguish ourselves by fostering trusted client relationships, ensuring successful outcomes through our proactive and insightful approach. To meet the growing demands of our clients, we are looking for exceptional individuals passionate about driving digital transformation and delivering outstanding results. Role Overview: As a Business Analyst Consultant, you will play a pivotal role in guiding clients through the definition and implementation of solutions aligned to their strategic objectives. You will contribute across ideation, solution design, and problem-solving, clarifying and challenging requirements to ensure solutions are robust and fit for purpose. You will take ownership of the full requirements lifecycle, from discovery through to delivery, producing high-quality artefacts with clear alignment to client goals. This role offers the opportunity to work within a forward-thinking consultancy, supporting your professional growth within a collaborative and ambitious team. This hybrid-based role is based either in London or Manchester. Responsibilities: Act as a trusted advisor to clients, communicating complex concepts clearly and managing expectations Facilitate stakeholder workshops and interviews to elicit functional and technical requirements Collaborate with cross-functional teams to design and deliver solutions that meet client needs and drive value Build and maintain strong stakeholder relationships, understanding business goals and delivering tailored solutions Document and analyse business processes, identifying opportunities for optimisation and automation Prepare presentations, reports, and deliverables to support decision-making Work with architects and developers to design scalable, secure, and maintainable solutions, assessing feasibility and risks Contribute to capability development, service offerings, and communities of practice through collaboration and engagement About the Candidate: Minimum 2:1 degree in Information Technology or a related field, with a Business Analysis qualification (or working towards) such as BCS, IIBA, or Lean Six Sigma 3-5 years' experience supporting technology-enabled or digital delivery initiatives, ideally within Financial Services or consulting/project environments Experience working across agile, waterfall, and hybrid delivery methodologies Strong foundational Business Analysis skills across the full lifecycle, including elicitation, analysis, documentation, validation, and management of requirements Excellent communication and stakeholder engagement skills, with the ability to present and build relationships at all levels Strong analytical and problem-solving capabilities, with the ability to interpret complex information and develop evidence-based solutions Facilitation skills with experience collaborating across multiple workstreams and delivering high-quality outcomes Proficiency in process, use case, and UML modelling, using tools such as Visio, Lucidchart, or Draw.io Understanding of business architecture concepts, data, AI, and automation, with a collaborative, self-starting mindset and ability to influence decision-making Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need

Lead Data Engineer Location: Remote within the UK Contract: Permanent Hours: Full time Your next chapter At Travel Chapter, data sits at the centre of how we operate, make decisions and create exceptional experiences for our guests and homeowners. As we continue to evolve our platform and capabilities, we're looking for a Lead Data Engineer to play a critical role in shaping the future of our data environment. This is a genuinely influential leadership position within our growing Data Team. You'll take ownership of the data warehouse function, leading both the technical direction and the people behind it. Working closely with senior stakeholders across the business, you'll help drive scalable, high-quality data solutions that support everything from operational performance through to strategic decision making. We're looking for someone who combines strong technical depth with confident leadership. Someone who enjoys solving complex problems, challenging thinking where needed and creating well structured, scalable solutions that stand the test of time. You'll be joining a collaborative and ambitious environment where your expertise will be trusted, valued and listened to. What you'll be doing You'll lead a team of Data Engineers while remaining close to the technical detail, helping shape the way our warehouse and wider data platform evolves. A large part of the role will focus on designing and developing robust data models and pipelines within our Snowflake environment, ensuring the business has access to reliable, scalable and well structured data. You'll work across a broad range of complex datasets, partnering with teams across the business to understand challenges, improve solutions and influence technical direction. Alongside the hands on technical leadership, you'll mentor and support your team, helping create an environment focused on collaboration, engineering best practice and continuous improvement. You'll also play an important role in shaping standards, challenging approaches where appropriate and balancing long term technical quality with commercial priorities. What we're looking for We're looking for an experienced Data Engineering leader who is confident operating in fast paced, evolving environments and comfortable navigating both technical and stakeholder challenges. You'll bring strong experience within modern data warehousing environments, with particular strength around Snowflake and advanced SQL capability. You'll have a strong understanding of data architecture and modelling principles, including experience building scalable warehouse structures using fact and dimension modelling approaches. Beyond the technical skillset, this role requires someone who can lead with confidence. You should feel comfortable influencing senior stakeholders, pushing back constructively when needed and making decisions independently. We're particularly interested in people who enjoy understanding the bigger picture - not just how data is built, but why it matters and how it supports the wider business. Experience within travel or hospitality would be beneficial given the complexity of the data landscape, but it's by no means essential. Technical experience Strong commercial experience within Data Engineering, including experience operating in a Lead capacity Deep understanding of SQL and data warehousing concepts Strong Snowflake experience Experience with ELT tooling such as DBT and/or Fivetran Experience working with Python within data environments Strong understanding of data modelling and architecture principles Experience working within Agile environments Why join us? This is an opportunity to join a business where data genuinely matters. You'll have the chance to influence technical direction, shape engineering standards and play a key role in the future growth of our data capability. You'll be trusted with ownership, supported by a collaborative leadership team and given the space to make meaningful impact within a business that continues to evolve and grow.

About the Role Data Scientist/BI Analyst Permanent position Home based The Data Scientist / Power BI Analyst will play a key role in transforming organisational data into actionable insight, developing business intelligence solutions, and supporting key enterprise systems including IFS. Key Duties and Responsibilities Data Analytics & Modelling Develop high-quality data models using Power BI Desktop and Power Query. Build interactive dashboards and reports informed by best practices such as semantic modelling and star schema design. Perform statistical analysis, data mining, and predictive modelling. Power BI Platform Ownership Create, maintain, and optimise Power BI datasets, dataflows, and scheduled refreshes. Manage secure access, workspace permissions, and sharing practices. Business Systems Reporting & Support Work with data structures including views, tables, and custom fields. Use debugging, view extraction and data modelling workflows to source and model operational data. Provide second-line functional support for IFS as required. System Support & Integration Provide general system support across enterprise applications. Assist with configuration, system documentation, user training, and adoption sessions. Cross-Functional Collaboration Work with finance, supply chain, operations and commercial teams to translate business requirements into technical solutions. Support change management and continuous improvement initiatives. What we're looking for Strong analytical and problem solving skills and the ability to analyse complex data requirements and design effective solutions. Detail oriented with meticulous attention to detail to ensure data accuracy and integrity. A creative and innovative thinker who can develop new solutions to meet evolving data challenges. A strong team player with the ability to collaborate effectively with cross functional teams. Be adaptable and resilient with the ability to adapt to changing business needs and technology advancements. Strategic mindset with the ability to align data architecture with the organisation's long term goals. Effective communication with all stakeholders and Directors. Key skills, knowledge and experience Degree in Data Science, Data Analysis, Computer Science, Information Systems, Mathematics, or related field. Microsoft Power BI certifications are desirable. Strong experience in Power BI, including Power Query, DAX, semantic modelling, and dataflows. Good working knowledge of data warehousing, star schema, and relational databases. Experience working with IFS including views, tables, and debugging tools. SQL skills and understanding of ETL processes. Strong Excel capabilities. Why join us? Competitive benefits tailored to the division. Opportunities for career growth and visibility across the organisation. A supportive, inclusive culture that values your ideas and contributions. Work that truly makes a difference in safety, innovation, and global capability. James Fisher and Sons are committed to taking positive action on diversity and strongly encourage applications for candidates from all backgrounds. We are proud to be a Disability Confident employer and recognise that our success depends on our talented and diverse workforce.

Cloud System AdministratorApplylocations: GBR - ANY CITYtime type: Full timeposted on: Posted Todayjob requisition id: Job Description: Job Description: Cloud SysAdmin Location: Gloucestershire or Manchester Site Based: 5 Days Per Week At DXC Technology, delivering excellence for our customers and colleagues is more than just a motto, it's something we strive towards constantly through our work. Every day we deliver mission critical services in a secure environment whilst promoting our people first agenda, a real sense of community and a healthy work-life balance. Our consistently positive customer feedback and continuous growth helps us cement our place as one of the world's leading IT solutions enterprises, helping us deliver services and solutions in both challenging and exciting situations.We believe that hiring a diverse team is crucial to our success and our recruiting decisions are based on your skills and experience as an individual. We actively encourage consistent growth on our journey towards a culture of inclusion and recognise that the people we employ are vital to providing a great customer experience. As such, we have a variety of training, support, and tools available to aid in your continual personal and professional development. Our ongoing goal is to drive innovation and modernise operations across the board, which includes furthering the skills of our colleagues. At DXC, building a better you, builds a better us.At DXC, one of our platinum accounts has openings a Cloud SysAdmin for varying skill levels. This role will include working as part of multidisciplinary team to design and develop solutions such as using Azure/AWS as well as datacentre/private cloud to deliver high availability, rapidly developed, fully automated solutions using predominately open-source software which delivers value to the customer. Role responsibilities: Interacting with project roles as required, to gain an understanding of the business environment, technical context, and organisational strategic direction. Advising our customer on the latest technologies and methodologies, designing and implementing innovative approaches to their problems using automation. Understanding security policies and implementing solutions to satisfy security requirements. Designing and implementing solutions which have high availability and are scalable. What you will bring to the team: Enthusiasm for collaboration and excellent communication skills (written and verbal). An interest in keeping up with emerging tools, techniques, and technologies. Effective time management and organisational skills. A flexible and Agile way of working within a fast paced and everchanging environment. Attention to detail with a pragmatic and enthusiastic attitude to work. Desirable Skills and Technologies: Experience and knowledge of AWS / Azure and Azure Virtual Desktop. Experience with configuration management tools, e.g., Ansible (preferred), Puppet, Chef. Familiar with (or ability to learn easily) the following languages: Python, bash scripting, React, Go. Experience with deploying, configuring, and managing cloud architecture and technologies in AWS environments. Experience with web application services such as NGINX, Apache, JBoss. Experience of Test Driven or Behaviour Driven development, and being able to implement automated test solutions using Robot, Selenium etc API development and integration (preferably using Go but not essential). Knowledge of OpenShift Containerisation, RHEL 6,7,8, Docker and Kubernetes. Experience with monitoring systems e.g., ELK, Nagios, New Relic, DataDog, Splunk etc. Working knowledge of digital delivery processes and methodologies. Working knowledge of Atlassian Toolset. Knowledge of Javascript frontend frameworks. Understanding of front-end technologies, such as HTML5, and CSS3. Understanding the nature of asynchronous programming, its quirks and workarounds. Understanding of database schemas and query languages. Knowledge of infrastructure as code and CI/CD pipelines e.g., Jenkins, Terraform, Bitbucket, GIT repositories, Concourse, Team City etc. An understanding of how to deploy and configure AWS components to adhere to tight security requirements. Awareness of security identity, access management and authentication using products such as ADFS, SSL/TLS Certs, OIDC, OAUTH2, Keycloak or Redhat SSO. What we will do for you: Competitive compensation Pension scheme DXC Select - Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers, gym membership and more) Perks at Work (discounts on technology, groceries, travel and more) DXC incentives (recognition tools, employee lunches, regular social events etc)At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Career Opportunities: Business Analyst (11267) Requisition ID11267-Posted - Years of Experience (1) -Consulting- Where (1) Affinity Reply is a leading UK-based architecture consultancy focused exclusively on optimising IT/business alignment and minimising the cost of business and technology change. We distinguish ourselves by fostering trusted client relationships, ensuring successful outcomes through our proactive and insightful approach. To meet the growing demands of our clients, we are looking for exceptional individuals passionate about driving digital transformation and delivering outstanding results. Role Overview: As a Business Analyst Consultant, you will play a pivotal role in guiding clients through the definition and implementation of solutions aligned to their strategic objectives. You will contribute across ideation, solution design, and problem-solving, clarifying and challenging requirements to ensure solutions are robust and fit for purpose. You will take ownership of the full requirements lifecycle, from discovery through to delivery, producing high-quality artefacts with clear alignment to client goals. This role offers the opportunity to work within a forward-thinking consultancy, supporting your professional growth within a collaborative and ambitious team. This hybrid-based role is based either in London or Manchester. Responsibilities: Act as a trusted advisor to clients, communicating complex concepts clearly and managing expectations Facilitate stakeholder workshops and interviews to elicit functional and technical requirements Collaborate with cross-functional teams to design and deliver solutions that meet client needs and drive value Build and maintain strong stakeholder relationships, understanding business goals and delivering tailored solutions Document and analyse business processes, identifying opportunities for optimisation and automation Prepare presentations, reports, and deliverables to support decision-making Work with architects and developers to design scalable, secure, and maintainable solutions, assessing feasibility and risks Contribute to capability development, service offerings, and communities of practice through collaboration and engagement About the Candidate: Minimum 2:1 degree in Information Technology or a related field, with a Business Analysis qualification (or working towards) such as BCS, IIBA, or Lean Six Sigma 3-5 years' experience supporting technology-enabled or digital delivery initiatives, ideally within Financial Services or consulting/project environments Experience working across agile, waterfall, and hybrid delivery methodologies Strong foundational Business Analysis skills across the full lifecycle, including elicitation, analysis, documentation, validation, and management of requirements Excellent communication and stakeholder engagement skills, with the ability to present and build relationships at all levels Strong analytical and problem-solving capabilities, with the ability to interpret complex information and develop evidence-based solutions Facilitation skills with experience collaborating across multiple workstreams and delivering high-quality outcomes Proficiency in process, use case, and UML modelling, using tools such as Visio, Lucidchart, or Draw.io Understanding of business architecture concepts, data, AI, and automation, with a collaborative, self-starting mindset and ability to influence decision-making Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Research Engineer (Kernel & Inference Optimization) in United Kingdom. This is an exciting opportunity for a highly technical AI engineer to contribute to the next generation of scalable and high-performance inference systems powering real-world AI applications. In this role, you will work on optimizing model serving architectures, improving latency and throughput, and enhancing deployment efficiency across cloud, edge, and resource-constrained environments. You will collaborate with globally distributed engineering and research teams focused on advanced AI systems, multi-modal architectures, and infrastructure innovation. The position offers a research-driven environment where experimentation, benchmarking, and performance optimization are central to daily work. Ideal candidates are passionate about low-level optimization, inference scalability, and building robust AI systems that deliver measurable production impact at scale. Accountabilities Design, develop, and optimize advanced model serving architectures focused on high throughput, low latency, and efficient memory utilization. Build scalable inference pipelines capable of running across cloud, edge, and resource constrained environments. Conduct controlled inference experiments in simulated and production environments to evaluate system performance and reliability. Monitor and analyze key performance metrics such as latency, throughput, memory consumption, token response time, and error rates. Develop and maintain benchmarking methodologies and performance validation frameworks for AI inference systems. Identify bottlenecks in serving pipelines, including batch processing inefficiencies, network overhead, and excessive memory usage. Optimize inference frameworks and deployment strategies for scalability, resilience, and operational efficiency. Collaborate with cross functional engineering and research teams to integrate optimized inference solutions into production environments. Create high quality testing datasets and deployment scenarios that reflect real world operational challenges. Continuously improve inference infrastructure through experimentation, iteration, and adoption of cutting edge AI serving techniques. Requirements Strong experience in AI/ML engineering with a focus on inference optimization, model serving, or AI systems performance. Deep understanding of model deployment architectures and inference frameworks for large scale AI applications. Expertise in optimizing latency, throughput, scalability, and memory footprint in production AI systems. Hands on experience with performance monitoring, benchmarking, profiling, and bottleneck analysis. Strong knowledge of advanced AI model architectures, including multi modal systems and resource efficient models. Experience building and deploying AI systems across cloud, edge, or low resource hardware environments. Proficiency in programming languages commonly used in AI infrastructure and optimization workflows. Strong analytical and problem solving abilities with a research oriented mindset. Ability to work independently in a highly distributed and fast moving global environment. Excellent English communication skills and ability to collaborate across technical and non technical teams. Passion for innovation, experimentation, and scalable AI infrastructure development. Benefits Fully remote global work environment with flexible location options. Opportunity to work on cutting edge AI, blockchain, and fintech technologies. Collaborative international team of highly skilled engineers and researchers. Exposure to innovative projects involving AI infrastructure, digital finance, and decentralized technologies. High impact role with significant technical ownership and influence on product direction. Fast paced and innovation driven culture focused on experimentation and growth. Opportunities for continuous learning and professional development. Work environment that values autonomy, creativity, and technical excellence. Participation in projects with global reach and real world scalability challenges.

At UK Tote Group, we're on a mission to reimagine the future of pool betting - building a modern, data-driven betting experience for millions of racing fans. Our technology powers real-time insights, supports responsible gaming, and helps us deliver trusted, customer-first products across the UK and international markets. As a Data Engineer, you'll play a key role in designing, building, and optimising the Databricks-based Lakehouse that drives real-time data, analytics, and reporting across the Tote. You'll build streaming and batch data pipelines on AWS using Apache Spark Structured Streaming, Delta Live Tables (DLT), and Kafka (MSK), ensuring our business teams across Liquidity, Product, Marketing, Finance, and Compliance have fast, trusted data at their fingertips. This is a hands-on engineering role where you'll collaborate across engineering, BI, and product teams to deliver scalable, secure, and governed data solutions under Unity Catalogue. What you'll be doing: You'll design, build, and optimise data pipelines using Databricks, Spark Structured Streaming, and Delta Live Tables to ensure data flows efficiently and reliably across the organisation. By applying the Medallion Architecture, you'll develop robust Bronze, Silver, and Gold Delta tables that serve as the foundation for analytics, APIs, and decision making tools. You'll integrate data from Kafka (MSK), AWS S3, and external APIs, ensuring seamless ingestion into the Lakehouse. You'll work closely with BI teams to enable high-performance Power BI dashboards through Databricks SQL Warehouses, making data more accessible and actionable across the business. You'll ensure that all data is governed, discoverable, and secure under Unity Catalog, and you'll contribute to continuous delivery by implementing and maintaining CI/CD pipelines for Databricks jobs, notebooks, and DLT workflows. Monitoring, tuning, and troubleshooting pipeline performance will also be part of your day to day, using Databricks metrics, CloudWatch, and AWS Cost Explorer to ensure optimal performance and efficiency. You'll document data models, schemas, and lineage, maintaining a clear understanding of data flows and dependencies. Alongside Compliance and Technology colleagues, you'll help ensure the platform remains fully compliant with GDPR and Gambling Commission regulations. Finally, you'll champion best practices in data platform design, observability, and cost management, helping shape the future of the Tote's data ecosystem. What we are looking for: We're looking for an experienced Data Engineer with proven expertise in building pipelines in Databricks and a strong grasp of Apache Spark, whether in PySpark or Scala, including Structured Streaming. You should have experience with Kafka (MSK) and real-time data ingestion, as well as a deep understanding of Delta Lake, Delta Live Tables, and the Medallion Architecture. A strong AWS background is important, particularly with services such as S3, Glue, Lambda, Batch, and IAM. You'll need to be proficient in Python and SQL for data engineering and analytics, and comfortable implementing CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, or Jenkins. Solid experience with Git, version control, and Spark performance tuning will help you succeed in this role. Most importantly, you'll bring a collaborative, proactive attitude and an ability to balance platform reliability with the pace of delivery. It would be an advantage if you have experience working with streaming architectures or data governance frameworks like Unity Catalog. Familiarity with Power BI, Looker, or Tableau is desirable, as is exposure to Databricks REST APIs, Airflow, or Databricks Workflows. Knowledge of infrastructure as code tools such as Terraform, AWS networking fundamentals, and cost management techniques using Photon and DBU monitoring will also be beneficial. You'll be analytical, detail oriented, and motivated by solving complex data challenges. A self starter by nature, you take ownership of your work and enjoy designing end to end solutions that deliver measurable value. You're a great communicator who can explain data concepts clearly to both technical and non technical colleagues, and you have a passion for automation, efficiency, and data quality. Most of all, you're curious and committed to continuous learning within a fast evolving cloud data landscape. What's in it for you? At the Tote you can expect a friendly working environment with a strong sense of teamwork and pride in what we do. Within this role you'll develop a broad range of skills and experiences that can enhance your career at the Tote. Additionally, our company benefits package includes; Competitive Basic Salary Discretionary Bonus Scheme Company Shares Option Plan Contributory pension scheme Life insurance (4 x basic salary) Simply Health Cash Plan Holiday entitlement (33 days inclusive of bank holidays) Study Support and opportunity for progression and development Confidential 24/7 365 employee assistance helpline Agile and collaborative office environment with free parking, fruit, biscuits, and drinks Regular social events, charity events and volunteering opportunities Wigan, Greater Manchester, United Kingdom

Senior MI Business Analyst/Project Manager Our Client is a bank based in the City and are looking to recruit a Senior MI Business Analyst with Project Management skills. You will have at least 6 to 10 years proven hands on expertise. Focus of the role: Help the organisation (Senior Management and SMEs) to review business and financial performance of the organisation based on data and facts, advance understanding of the business success factors, business results and risks. Develop technical and business solutions for MI, enable effective data management and sourcing of the data for MI, reporting and project activities. Interact with vendors, Project teams and Development team in London and other sites to align delivery of the MI and sourcing of the data across business functions and entities. Responsibilities: Develop MI and Reports predominantly for the business functions and SMEs, based on their requirements and expressed needs. Interact with other information workers (in business and finance teams) to ensure the data produced by those are sync'ed and "tells same story". Ensure the overall strategy of the data management within the Bank, guard and rationalise development or new data sources for MI purposes, align business and technical understanding of the available data with the requirements. Facilitate and lead enhancements of the available data sources that would assist the organisational performance and guide the organisation in effort to optimise and automate business processes to collect and use data for reporting and MI purposes. Working with team members and Subject Matter Experts or SMEs on identifying, designing, building, and performing analytics to provide risks and controls insights to business partners & Internal Audit. Document business MI Solutions to ensure this knowledge is retained within the organisation, interact with operational and technology management regarding access, processing, reporting, and integrity of source systems and data repositories, to educate them on data available to in organisation, how the data could be used. Influence the technical team and the business to ensure the technical environment address current and aligned with future business needs and organisational skills. Key Skills: Technical Advance SQL querying skills, ability to write complex SSRS formulas In-depth knowledge of MS SQL Server and experience to deliver MI and reporting solutions using the entire spectrum of the MI solutions (SSIS, SSRS, Power BI) ideally on early versions (2013/2016) and assist the organisation to migrate to later versions. Exposure and high level understanding of the SSAS and MDX language (although the organisation currently does not use OLAP). Good exposure to PowerBI and advance knowledge of DAX (query language) and data modelling using this tool. Good working knowledge of Excel capability, use of the reporting purposes, and formulas; desired VBA skills to optimise the data presentation. Ideally, working knowledge of Hyperion/Essbase. Working knowledge of SharePoint and its use to manage the MI, automate MI and reporting workflow, information and report distribution. Good working practice designing data collections by using Kimball methodology. Non technical Practical understanding of the Data Visualisation techniques and principles. High level understanding of the data management and its impact on organisation's bottom line. Stakeholder management and interpersonal skills to understand the business requirements, link them to a business narrative and softly guide SME by delivering the requested MI. Some understanding of the architectural principles, Agile methodology to engage users and deliver business solutions. Ability to communicate complex technical concepts and narrative to business audience and non technical teams. This is a Full Time Contract - duration is 12 months. Salary will be dependent upon experience and expertise - but will be in the range £60K - £75K. Please send your CV to us in Word format along with your salary and availability.

As a User Experience Designer, Vice President in the Commercial & Investment Bank, Trade & Working Capital, you will design and deliver user centred experiences for complex enterprise workflows. You'll work end to end-from discovery and qualitative interviews to interaction design, UI, prototyping, and shipped outcomes-partnering with Product Managers, Engineers, and design peers. This is an individual contributor role with no direct reports. You will lead by influence within a cross functional pod, setting direction and quality while remaining deeply hands on. Job responsibilities Own end to end user experience design for priority Trade & Working Capital journeys, from problem framing through final UI and post launch iteration. Plan, conduct, and synthesise qualitative research interviews (user/stakeholder interviews, concept evaluations); translate insights into clear design opportunities and requirements. Create journey maps and service flows, define information architecture, and design interaction models that reduce complexity for expert users. Produce wireframes, high fidelity designs, and interactive prototypes; iterate quickly based on feedback, usability testing, and data. Partner with Engineering to ensure feasible implementation, high quality execution, and strong UX details (states, errors, empty states, edge cases). Contribute to our Trade & Working Capital digital experience vision, roadmap, prioritisation, and planning with PM/Engineering; advocate for user outcomes with evidence. Raise quality through critique and design reviews; provide guidance to more junior and/or external designers through feedback and lightweight mentoring. Required qualifications, capabilities, and skills 5+ years of UX/Product Design experience (or equivalent expertise) delivering shipped work on complex products. Demonstrated ability to run qualitative interviews and synthesise findings into insights, journey implications, and design direction. Strong skills in interaction design, information architecture, and UI craft; able to handle complex, data heavy enterprise workflows. Strong design direction, collaboration and facilitation skills with product and engineering; able to drive alignment and decision making in ambiguity. Excellent communication and executive ready storytelling: can present work, rationale, and trade offs succinctly. Technical literacy to design within constraints (component based UI, platform considerations, integration constraints); able to work effectively with engineers. Preferred qualifications, capabilities, and skills Experience in Trade Finance / Working Capital / Treasury / Payments / Commercial Banking / Transaction Banking / Consumer Banking or similar regulated enterprise domains. Familiarity contributing to or evolving a design system. Accessibility and inclusive design advocacy (plus). Proficiency in Figma and modern prototyping workflows.

As an experienced Analytics Engineer at Wrisk, you will be the bridge between raw data and impactful business insights. You will work closely with our Data Engineering team to manage the data pipeline while taking full ownership of the transformation layer, building robust, scalable data models and metrics that serve as the "single source of truth" for the entire organisation and our business partners. You will own our Business Intelligence and Analytics Stack, and lead the development of insightful reports and dashboards. This includes taking ownership of our external Analytics Products - a key USP of Wrisk. We are looking for a proactive professional who thrives when given a problem statement and the autonomy to deliver a finished solution, from initial data modelling through to the final reporting suite. What you'll do Data Modelling: Design, develop, and maintain well documented, tested, and flexible data models within our data warehouse. Stack Architecture: Develop and optimise our modern BI and analytics stack, ensuring data is clean, reliable, and performant. Metric Definitions: Maintain the logic for our business metrics across our semantic layer, ensuring they are defined consistently across all tools and departments. Pipeline Collaboration: Work with Data Engineering to identify and integrate key data sources, maintain accuracy and stability, and align the upstream data structures to support downstream analytics and reporting. Software Excellence: Utilise version control (Git), code reviews, and data quality testing to ensure the integrity of our analytics layer. Reporting: Design and build high quality, intuitive dashboards and visualisations that communicate complex data simply and effectively. Analytics Products: Take ownership of the maintenance and enhancement of Wrisk's external facing analytics products, ensuring they remain a high performing, reliable product offering for our partners. Self Service Enablement: Build intuitive data marts that empower Analysts and business users to perform their own analysis with confidence. Requirements Gathering: Partner directly with stakeholders in Commercial, Operations, Product, and across external partners to deeply understand their reporting needs and translate them into technical specifications. Autonomous Problem Solving: Independently identify and implement areas of opportunity in our stack and processes, and troubleshoot data and reporting issues. We expect you to be a self starter who manages your own roadmap and deliverables. Qualifications Experience: 4+ years in Analytics Engineering, Data Engineering, or a technical BI role with architecture experience. SQL Expertise: Advanced proficiency in SQL (CTEs, window functions, complex joins, and query optimisation). Visualisation Expertise: Significant experience building sophisticated, user friendly dashboards in modern BI tools (e.g., Looker, QuickSight, Tableau, or Power BI) with a strong eye for data storytelling. Modern Data Stack: Hands on experience with tools like dbt, Snowflake/BigQuery/Redshift, and Fivetran/Airbyte. Data Modelling: Strong understanding of data modelling best practice for modern analytics. Goal Oriented: A proven track record of working independently and delivering complex analytics projects from start to finish with minimal supervision. Stakeholder Management: Proven ability to collaborate with non technical business partners and external clients to gather requirements and explain technical trade offs. Desirable/advantageous skills and experience Experience working in a fast paced scale up environment. Knowledge of Python for data manipulation or automation. Financial Services or Insurance industry experience.

Unleash your potential. Change the game with Gripple. We're on the hunt for a Data Analytics Engineer (Microsoft Fabric) to shape a modern enterprise data platform at an early stage of maturity using Microsoft Fabric. Based within our Data team, part of the wider IT function, you will play a key role in designing, building, and evolving the organisation's recently deployed data platform, working with diverse datasets including manufacturing operational technology, sustainability and energy analytics, and enterprise business systems. Why Gripple? We're not just innovators-we're game-changers. Since 1989, Gripple has led the charge in wire joining and suspension systems. As a 100% employee owned business, we don't just hire talent-we invest in it. What's in it for you: Share ownership: Buy a stake in Gripple and the GLIDE group and share in our success 15% non contributory pension 32 days' holiday, increasing with long service, plus quarterly 'thank you' days and your birthday off Private healthcare, family focused policies, and exceptional benefits that support your wellbeing at every stage World class product training, career development, and room to grow The role: Working closely with stakeholders across the UK, US and European businesses, you will help ensure data is accessible, trusted, and used effectively to support operational and strategic decision making. This is a hands on role combining data engineering with analytical delivery, reporting to the Global IT Manager, with a clear opportunity over time to take on greater technical ownership and help shape the direction of the data platform as it continues to mature. What you'll be doing: Champion data innovation within a forward thinking manufacturing environment, integrating insights from energy systems, operational technology, ERP, and CRM platforms to drive operational improvement and support smarter financial and strategic decision making Design, build, and continuously improve scalable end to end data pipelines within Microsoft Fabric, implementing and maintaining medallion architecture standards across ingestion, transformation, and presentation layers Develop and optimise trusted data models and semantic layers that enable high quality reporting, self service analytics, and advanced business insight Collaborate closely with stakeholders across the organisation to translate business requirements into practical data solutions and support analytics projects from discovery through to adoption and business use Shape and evolve platform standards, governance, and security practices while maintaining high levels of data quality, reliability, and performance, continuously identifying opportunities to improve tools, processes, and ways of working, and actively developing your own technical and professional capability Who you are: Key personal skills Strong, clear communicator able to translate complex technical topics into simple, meaningful insights and narratives for a range of audiences Strong stakeholder engagement skills, building trusted relationships across business and IT teams Proactive and self driven, with the ability to take ownership of work and see it through to completion Structured thinker with a logical approach to problem solving and analysis Open to feedback and continuous improvement, with a growth mindset Key technical skills Hands on experience with Microsoft Fabric, including Lakehouse, Dataflows, Notebooks, Pipelines, and workspace management, with the ability to design and support scalable data solutions across ingestion, transformation, and presentation layers Strong SQL skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models Understanding of medallion architecture and modern data engineering best practices, including data pipeline design, version control, testing approaches, and performance optimisation techniques Confident in building and maintaining robust data models and semantic layers that support high quality reporting, self service analytics, and advanced insight using tools such as Power BI or similar analytics platforms Proficient in preparing and validating real world datasets, including cleansing, handling missing or duplicate records, standardising inputs, and performing exploratory analysis using Excel Experience working with structured business data from enterprise systems such as ERP and CRM platforms, with an understanding of data relationships, master data concepts, and business process integration Awareness of structured development practices such as environment separation (Dev/UAT/Prod), release management, and change control approaches for data platforms Good working knowledge of data governance, platform security, and access control principles, including role based access control, data classification, and secure handling of sensitive business data Awareness of data quality management practices including validation, monitoring, reconciliation, and continuous improvement approaches to ensure trusted and reliable datasets Desirable technical skills (not essential) Experience working with Microsoft Dynamics 365 Finance and Operations and/or Dynamics 365 Customer Engagement Exposure to enterprise data platforms (Microsoft Fabric), analytics teams, or formal data governance environments Experience supporting Power BI or other business intelligence tools Desirable certifications (not essential) Microsoft Fabric Analytics Engineer Associate (DP-600) Microsoft Fabric Data Engineer Associate (DP-700) The Gripple Spirit Our values - fun, integrity, passion, entrepreneurship, teamwork, innovation - aren't just words on a wall. They shape everything we do. Join us, and you'll experience: true work life balance an inclusive and caring workplace where your ideas matter, and your impact is felt globally Take a tour of our head office at the historic Old West Gun Works in Sheffield, South Yorkshire here Apply by 6pm on 8 th June 2026. Bring your ambition. We'll bring the opportunity. Join a team where everyone belongs We encourage applications from people from all backgrounds and aim to have a workforce that represents the wider society that we serve. We champion diversity, inclusion and wellbeing and aim to create a workplace where everyone feels valued with a sense of belonging. If there are any adjustments that would help your experience with Gripple, please let us know when you apply. Whilst not mandatory, your completion of the applicant ethnic monitoring form will help us monitor and encourage equality and diversity. The information you provide will be anonymous and kept both confidential and separate to your application.

This Lead Data Engineer role sits within DVLA's data platform team, working on modern, large-scale data systems that drive better decisions, insights and digital services. Why this role stands out Lead engineering forhigh-impact data products across DVLA Work with modern technologies includingDatabricks, Spark, and lakehouse architectures Shape standards and best practice across a growing data function Collaborate with product teams, analysts and data scientists Play a key role in improvingdigital services at national scale What you'll be doing Leading the design and build ofdata pipelines and data products Developingrobust data models and integrationsacross systems Ensuring data is processed efficiently foranalytics and business intelligence Driving best practice andstandards across data engineering teams Supporting performance optimisation and balancingcost, scalability and reliability Working across teams to enable reuse of data and improve delivery

Select how often (in days) to receive an alert: Location: Ireland and UK (Office/Hybrid/Home-based) Position Summary Are you ready to architect the data foundation that drives our dynamic, consumption based business model? As a pivotal member of the Consumption Operations team, you will design, build, and maintain the mission critical data infrastructure that powers our global services. Success in this role means engineering robust, highly optimized data pipelines that guarantee the absolute quality and reliability of our data. Your work will directly impact the company's bottom line by ensuring 100% accurate, timely usage billing, while also unlocking data driven insights that empower the entire organization. Responsibilities Pipeline Engineering: Design, build, and optimize scalable ELT/ETL pipelines to ingest, process, and transform massive volumes of structured and unstructured data. Data Integration: Architect and maintain seamless integrations across diverse internal and external data sources, including databases, APIs, and business application software. Governance & Security: Champion data integrity and accuracy. Implement rigorous security measures and ensure strict adherence to financial data regulations, including SOX compliance. Infrastructure Management: Proactively monitor system performance, troubleshoot bottlenecks, and continuously optimize the data infrastructure for maximum scalability, speed, and cost efficiency. Cross Functional Collaboration: Partner closely with data scientists, business analysts, and leadership to capture requirements and deliver high quality, reliable, and curated datasets. Continuous Innovation: Maintain comprehensive documentation for data models and pipelines. Stay ahead of industry trends and introduce cutting edge methodologies and tools to our stack. Qualifications A bachelor's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience as a Data Engineer. 3+ years of hands on experience as a Data Engineer, with a proven, impactful track record in a Data Engineer or heavily related data architecture role. High proficiency in writing and optimizing SQL and Python. Deep, hands on experience with modern cloud data platforms and tooling, specifically Snowflake, dbt, Fivetran, and SQL Server. Exceptional problem solving capabilities, meticulous attention to detail, and the ability to thrive both autonomously and within a highly collaborative remote team. An attractive salary and benefits package. A commitment to inclusion, belonging, and colleague well being through global initiatives and resource groups. A company committed to making a real difference by advancing the world's infrastructure for a better quality of life, where your contributions help build a more sustainable, connected, and resilient world. About Bentley Systems Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. Equal Opportunity Employer Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications. 2026 Copyright Bentley Systems, Incorporated

Artificial Intelligence & Automation Data Engineer Location: United Kingdom Ref: REF4155A Job Function: Information Technology Responsibilities Establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. Oversee the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate advice on new solutions that can improve the effectiveness of organisation. Help to solution, implement and maintain operating models that optimise onshore and offshore resourcing to create the maximum value for Smiths Group Manage and distribute workloads to the D&A team members, balancing the key strengths of the D&A team along with career aspirations, providing direction and day-to-day oversight, striving to deliver outstanding results. Take leading role in the growth of Team and support the development of D&A and Divisional team members through coaching and mentoring Data Develop Data, AI and automation solutions. Test, deploy, and maintain intelligent systems. Collaborate with data scientists and other engineers to integrate AI into broader system architecture. Stay current with AI trends and suggest improvements to existing systems and workflows. Create a Roadmap that delivers the vision and embeds capabilities to ensure master/reference data, data quality management, data cataloguing, data governance, traceability are established and governed as a foundational pillar, ensuring the use of trusted high-quality data across BIS and all divisions. Developing and managing data platform; data management; and tooling and access controls for all business and technical users Provide business focused data-related guidance and thought leadership across data architecture, data governance and data integration, and the associated technologies Ensure all D&A deliveries are performance assessed and can execute within response times within business acceptable criteria. Lead on the development and maintenance of dashboards, forms, and other tools to facilitate the interaction with data management systems for non-technical users Implement and regularly review existing data management policies to make sure that they are up to date and effective, revising and improving as necessary Collaborate across the Smiths divisions to discuss any data problems, new or additional requirements and support project specification development. Support the creation of Data Analytic Models and Data Visualisations (eg PowerBI) within the Azure platform. Own and govern the code promotion process for Analytic Models and Visualisation code sets into the QA and production environments. Organise, store and analyse data as efficiently as possible, while always upholding agreed-upon security standards Manage PowerBI Licences, Gateways and Microsoft visual studio installed in Smiths. Develop documentation and training material for applications. Evaluate, design, implement and support new requirements or database changes using associated business requirements and design documents. Design and develop new analytics / models using the new data sets to expedite data analysis and reporting. Provide technical oversight for integrating new technology or new initiatives into existing data standards and structures. Monitor and analyse information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.) Ensure the integrity, confidentiality, and security of all developed solutions. Establish rules and procedures for data sharing with upper management, external stakeholders etc. Create and enforce policies for effective data management. Support others in the daily use of data systems and ensure adherence to legal and company standards. Provide regular progress reports to your manager on BAU activities and progress against project deliverables. Regularly provide accurate availability/capacity reports for the D&A team to assist with project planning and future recruitment needs. Act as a mentor to new super users within the Divisions using PowerBI technology. Lead the weekly team meeting, owning the agenda and encouraging engagement from the D&A team Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Proficient at digesting and analysing large amounts of data. Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in working with offshore and onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView etc). Good knowledge of SQL language and simple analysis techniques to profile data Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory Understanding of Big Data technologies (Hadoop, Spark) Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the Enterprise and conceptual data models Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry Excellent verbal and written communication skills with the ability to interact at all levels within the Smiths Group General understanding of PaaS Concepts - ideally in MS-Azure Cloud BI experience could be an asset Diversity & Inclusion We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation - including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career's website (Careers - Smiths Group plc ).

Principal Solutions Advisor - CPG PlanningApplylocations: Bracknell: Londontime type: Full timeposted on: Posted 16 Days Agojob requisition id: 261659 Overview: Blue Yonder is seeking a highly accomplished and strategically minded Sr. Principal/Principal Solution Advisor within Supply Chain Advisory organization. This role is designed for a seasoned leader who will drive meaningful impact across major SaaS pursuits, elevate customer engagement, and contribute to the development of transformative supply chain strategies. Operating as a trusted advisor to both customers and internal teams, this leader will help shape deal strategy, deliver compelling solution narratives, and guide customers toward high value outcomes across complex, global engagements.In this role, you will influence customer investment decisions, guide multi year global transformations, and act as a trusted advisor to senior executives while also shaping internal standards, reference architectures, and advisory best practices. Your impact extends beyond individual customers to portfolio direction, go to market strategy, and the evolution of Blue Yonder's Supply Chain Advisory offerings. What You'll Do: Industry & Solution Expertise: Apply deep understanding of supply chain trends, technologies, and industry best practices to deliver targeted advisory support and guide customers toward impactful transformation opportunities. Lead multi year, multi solution global transformation roadmaps, aligning business strategy, operating model evolution, and technology investment. Deliver highly tailored cross-portfolio demos linking advanced capabilities to business outcomes and transformation goals. Strategic Value Articulation: Develop and communicate differentiated value propositions that strengthen Blue Yonder's competitive position and support the pursuit of large SaaS opportunities. Ensure solutions are explicitly tied to financial outcomes, operational KPIs, and executive success metrics. Customer Advocacy & Engagement: Demonstrate strong customer ownership by anticipating needs, identifying risks, and ensuring alignment between customer objectives and Blue Yonder's solution strategy. Lead enterprise-level discovery and architecture assessments, translating business objectives into scalable, integrated supply chain architectures. Lead and deliver high impact strategic supply chain advisory engagements, including assessments, blueprint and design authority. Own solution strategy for complex, high risk, or highly visible engagements, serving as the ultimate escalation point for architectural and solution challenges. Portfolio & Solution Strategy Define and evolve enterprise reference architectures and solution patterns that guide large scale deployments across the Blue Yonder portfolio. Influence portfolio direction and solution strategy by translating customer and industry insights into actionable recommendations for Product, Services, and Go to Market leadership. Shape how Blue Yonder positions end to end supply chain value, ensuring consistency, differentiation, and scalability across industries and regions. Thought Leadership & Organizational Impact Act as a global thought leader in supply chain transformation, representing Blue Yonder with customers, partners, and industry forums. Mentor and coach Solution Advisors, raising the bar on solution quality, executive presence, and architectural rigor across the organization. Shape and evolve Supply Chain Advisory offers and establish best practices for discovery, blueprinting, and design authority. Partner closely with Sales, Product, and Services teams to ensure cohesive strategy, unified messaging, and seamless execution across major pursuits. What we are looking for: Bachelor's degree in Supply Chain, Business, Engineering, or related field; advanced degree strongly preferred. Deep industry expertise in End-to-End Supply Chain planning for CPG, in management consulting, strategic advisory or relevant leadership roles within global organizations. 15+ years of experience in enterprise supply chain transformation or supply chain advisory roles. Deep experience with Blue Yonder solutions strongly preferred; recognized industry credibility is a significant advantage. Demonstrated success supporting or contributing to large SaaS pursuits (ideally $1M+). Strong storytelling and executive presentation skills, including the ability to independently demo solutions and link strategy to business outcomes. Demonstrated ability to synthesize quantitative and qualitative data to inform strategic decisions, roadmaps, and investment priorities. Expertise in guiding customers through best practice solution deployments and challenging assumptions early in the engagement lifecycle. Proven track record of leading and delivering complex, large scale strategic initiatives and transformation programs. Demonstrated ability to operate as a trusted advisor to executive and C level stakeholders. Proven capability to link technology design to financial performance, operating models, and long term business outcomes. Proven ability to collaborate across functions, aligning diverse teams around a unified supply chain transformation strategy. Comfort representing the organization in executive forums, industry events, and high impact customer environments. Ability to operate with ambiguity and autonomy, setting direction rather than receiving it. Ability to think strategically, translate vision into execution, and drive sustained results. Excellent written and verbal communication skills, including executive level presentations.