478 jobs found

Job Description: About our team Airbus Helicopters is the world's largest helicopter manufacturer and the company's site at Oxford Airport is Britain's civil helicopter hub. AHUK offers considerable experience in helicopter sales, bespoke completions, maintenance and spares support. Its in-house engineering capabilities include design, customisation, installation, flight-testing and certification, as well as technical support, maintenance, training and the supply of spares for civil and military applications . AHUK is the MoD's chosen provider of helicopters and maintenance for its No.1 Helicopter Flying school (referred to as MFTS) located in RAF Shawbury (Shropshire) and RAF Valley (Anglesey). Description/Overall purpose of the Job The Business Data Engineer working in the Business Improvements team plays a crucial role in designing and implementing systems that improve business processes by leveraging data. Their overall purpose involves creating a robust data infrastructure that enables efficient collection, processing, and analysis of data to support informed decision-making and business optimization. Main responsibilities Build and maintain a robust Single Source of Truth (SSOT) using modern data architecture principles to ensure consistency across all business applications. Ensure data is prepared and available for analytics and reporting tools. Independently develop solutions (workflows, small apps, and dashboards) on the Skywise platform, google app sheet, ensuring they are seamlessly integrated with the central SSOT. Ensure data is prepared and available for analytics and reporting tools, utilizing Python and SQLAlchemy for effective Object-Relational Mapping (ORM) and data modeling. Work closely with data analysts, and group teams to align data sources with business needs, acting as the gatekeeper for data architecture standards. Ensure data integrity and quality by implementing validation processes and error detection mechanisms at the database level. Optimise data workflows for faster and more efficient processing, reducing downtime and improving operational efficiency. Automate manual processes related to data collection, reporting, and analysis to improve speed and reduce human error. Translate business requirements into technical data solutions that support performance tracking and improvement initiatives. Develop scalable solutions to handle increasing amounts of data as business needs evolve. Knowledge and Skills Expertise in data architecture, specifically designing and maintaining an SSOT. Advanced proficiency in Python, with a strong focus on SQLAlchemy for database interactions and data modeling. Proficient SQL skills and experience with relational databases and database design, capable of optimizing complex queries. Proficient with Google products, app script, app sheet, google automations and google sheet functionality. Knowledge of Python, Git, PL/SQL, Java Script, HTML & CSS. Expertise in data analysis methodologies and processes and their linkages to other processes. Ability to understand and analyse existing business processes and suggest improvements based on data insights and areas for automation. Ability to translate business needs into technical data solutions that align with company objectives. Education, Qualifications or Training Essential Advanced programming skills, specifically in Python (SQLAlchemy) and SQL. Ability to translate business requirements into technical data solutions. Dashboard creation in Skywise, Google Looker/other comparable software. Experience of delivering concepts into production, maintaining full-stack oversight from backend architecture to frontend business application. Understanding of key business metrics and KPIs, ensuring that data pipelines support decision-making. Planning, Scope management skills. Ability to liaise with non-technical teams to define and refine project requirements, ensuring data-driven business improvements. STEM HND. Desirable Knowledge of airline and MRO operations Proven experience designing and implementing a central Single Source of Truth (SSOT) data architecture. Business / industrial experience. Application / Software development Additional requirements Due to the nature of this position you will require DBS Security Clearance and be eligible for SC clearance. Applicants must meet any/all requirements of Export Compliance Regulations. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Helicopters UK Ltd Employment Type: Permanent - Experience Level: Professional Job Family: Customer Eng.&Technical Support&Services By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Job Description: About our team Airbus Helicopters is the world's largest helicopter manufacturer and the company's site at Oxford Airport is Britain's civil helicopter hub. AHUK offers considerable experience in helicopter sales, bespoke completions, maintenance and spares support. Its in-house engineering capabilities include design, customisation, installation, flight-testing and certification, as well as technical support, maintenance, training and the supply of spares for civil and military applications . AHUK is the MoD's chosen provider of helicopters and maintenance for its No.1 Helicopter Flying school (referred to as MFTS) located in RAF Shawbury (Shropshire) and RAF Valley (Anglesey). Description/Overall purpose of the Job The Business Data Engineer working in the Business Improvements team plays a crucial role in designing and implementing systems that improve business processes by leveraging data. Their overall purpose involves creating a robust data infrastructure that enables efficient collection, processing, and analysis of data to support informed decision-making and business optimization. Main responsibilities Build and maintain a robust Single Source of Truth (SSOT) using modern data architecture principles to ensure consistency across all business applications. Ensure data is prepared and available for analytics and reporting tools. Independently develop solutions (workflows, small apps, and dashboards) on the Skywise platform, google app sheet, ensuring they are seamlessly integrated with the central SSOT. Ensure data is prepared and available for analytics and reporting tools, utilizing Python and SQLAlchemy for effective Object-Relational Mapping (ORM) and data modeling. Work closely with data analysts, and group teams to align data sources with business needs, acting as the gatekeeper for data architecture standards. Ensure data integrity and quality by implementing validation processes and error detection mechanisms at the database level. Optimise data workflows for faster and more efficient processing, reducing downtime and improving operational efficiency. Automate manual processes related to data collection, reporting, and analysis to improve speed and reduce human error. Translate business requirements into technical data solutions that support performance tracking and improvement initiatives. Develop scalable solutions to handle increasing amounts of data as business needs evolve. Knowledge and Skills Expertise in data architecture, specifically designing and maintaining an SSOT. Advanced proficiency in Python, with a strong focus on SQLAlchemy for database interactions and data modeling. Proficient SQL skills and experience with relational databases and database design, capable of optimizing complex queries. Proficient with Google products, app script, app sheet, google automations and google sheet functionality. Knowledge of Python, Git, PL/SQL, Java Script, HTML & CSS. Expertise in data analysis methodologies and processes and their linkages to other processes. Ability to understand and analyse existing business processes and suggest improvements based on data insights and areas for automation. Ability to translate business needs into technical data solutions that align with company objectives. Education, Qualifications or Training Essential Advanced programming skills, specifically in Python (SQLAlchemy) and SQL. Ability to translate business requirements into technical data solutions. Dashboard creation in Skywise, Google Looker/other comparable software. Experience of delivering concepts into production, maintaining full-stack oversight from backend architecture to frontend business application. Understanding of key business metrics and KPIs, ensuring that data pipelines support decision-making. Planning, Scope management skills. Ability to liaise with non-technical teams to define and refine project requirements, ensuring data-driven business improvements. STEM HND. Desirable Knowledge of airline and MRO operations Proven experience designing and implementing a central Single Source of Truth (SSOT) data architecture. Business / industrial experience. Application / Software development Additional requirements Due to the nature of this position you will require DBS Security Clearance and be eligible for SC clearance. Applicants must meet any/all requirements of Export Compliance Regulations. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Helicopters UK Ltd Employment Type: Permanent - Experience Level: Professional Job Family: Customer Eng.&Technical Support&Services By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Job Info Job Identification 15290 Posting Date 06/05/2026, 09:33 AM Job Role Data Management and Analytics-Data Modelling Experience (In Years) 6-9 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS)is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world's leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit. Location:London, United Kingdom(Hybrid working) Employment Type:Permanent The Senior Data Modeller will provide technical expertise and leadership in analysis, design, development, rollout and maintenance of enterprise data models and solutions. This role establishes a clear, layered approach (conceptual, logical, physical) to ensure consistency, scalability, and alignment across the enterprise. The position requires deep understanding of the insurance data domain and provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from an enterprise perspective. The Senior Data Modeler creates high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape. The role sets design principles and standards to build trusted, reusable, and well-governed data assets that support business outcomes. This includes implementing consistent, business-friendly naming conventions and aligning with governance frameworks, including London Market and regulatory requirements where applicable. Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as innovation, critical thinking, optimism, positivity, communication, time management, collaboration, problem solving, acting independently, knowledge sharing and being approachable. As part of your duties, you will be responsible for: Design and develop conceptual, logical, and physical data models for enterprise-scale data lake and data warehouse solutions, along with corresponding metadata, ensuring layered consistency and scalability across the enterprise Establish and enforce design principles, standards, and naming conventions to build trusted, reusable, and well-governed data assets that support business outcomes Create high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape Implement consistent, business-friendly naming conventions and align with governance frameworks, including London Market standards (ACORD, CDR, MRC) and regulatory requirements where applicable Define processes, ownership, and tooling to maintain, govern, and continuously evolve data assets over time Understanding of data integration processes (batch or real-time) using tools such as Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop, and similar platforms Create functional and technical documentation including data integration architecture documentation, data models, data dictionaries, data integration specifications, and data testing plans Collaborate with business users to analyse and test requirements, translating business needs into scalable technical solutions Stay current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for data architecture Lead and support setting the data architecture direction (including data movement approach, architecture and technology strategy, and other data-related considerations to ensure business value), ensuring data architecture deliverables are developed, ensuring compliance with standards and guidelines, implementing the data architecture, and supporting technical developers at an enterprise level Coordinate and consult with project managers, client business staff, client technical staff and project developers in data architecture best practices and data-related matters at the enterprise and business unit levels Perform reverse engineering of physical data models from databases and SQL scripts Maintain rigorous versioning of documentation and models to ensure consistent delivery and understanding between the client and development team Experience and Education required: Deep understanding of the insurance data domain; experience working as a data modeler for a London market insurer is equally valuable to specialized London Market technical expertise Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, or similar enterprise modelling platforms) Experience with major database platforms (Oracle, SQL Server, Teradata, Snowflake, cloud-native databases) Understanding and experience with major data architecture philosophies (Dimensional, ODS, Data Vault, Data Mesh) 5-7 years of management or technical leadership experience required 5-7 years consulting experience preferred Experience in data analysis, profiling, and data quality assessment Strong data warehousing and OLTP systems experience from a modelling and integration perspective Strong understanding of data integration best practices, patterns, and architectural concepts Strong development experience under Unix and/or Windows environments Strong knowledge of all phases of the system development life cycle including agile methodologies Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data, and streaming architectures Understanding of on-premises and cloud infrastructure architectures (Azure, AWS, Google Cloud) Knowledge of London Market standards (ACORD, CDR, MRC) and regulatory frameworks is highly desirable but not essential Preferred Skills & Experience Ability to analyse business requirements as they relate to data movement and transformation processes, research, evaluation and recommendation of alternative solutions Ability to transform business requirements into technical requirement documents and enterprise-level design patterns Ability to run conceptual data modelling sessions to accurately define business processes, independently of data structures and then combine the two together Can create documentation and presentations such that they stand on their own with minimal additional context Demonstrates ability to create new and innovative solutions to problems that have previously not been encountered Ability to work independently on complex projects as well as collaborate effectively across teams and organisational boundaries Must excel in a fast-paced, agile environment where critical thinking and strong problem-solving skills are required for success Strong team building, interpersonal, analytical, problem identification and resolution skills Can effectively utilise SQL and/or available BI tools to validate and elaborate business rules Demonstrates an understanding of EDM architectures and applies this knowledge in collaborating with teams to design effective solutions to business problems Understands and leverages multi-layer semantic models to ensure scalability, durability, and supportability of analytic solutions Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic standpoint As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXLprovides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. AtEXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer,EXLis committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. . click apply for full job details

Job Overview Altera develops world class Field Programmable Gate Array (FPGA) technology which comprises both the FPGA hardware itself and the associated software components, including tools for High Level Design (HLD) entry. The two major Altera HLD tools are DSP Builder (based on MATLAB/Simulink) and HLS which are built on a common HLD compiler stack. The HLD compiler generates highly optimised FPGA RTL including automatic device mapping and pipelining. DSP Builder and HLS users can therefore focus on the architecture of their design without needing to spend time writing and re writing RTL. Altera is looking for engineers to join our teams. As a member of the UK DSP Builder team within the HLD group, you will be responsible for developing and supporting DSP Builder, designing and implementing improvements in the HLD compiler stack. Your work will include analysis of bottlenecks in user designs and the corresponding implementation of compiler optimizations, comprehensive benchmarking of the FPGA targeted generated hardware. As optimization is a global problem, the work may involve a mix of compiler software development and digital hardware design tasks. The UK Altera office is in Marlow, 40 minutes from central London and Oxford. Responsibilities Developing and supporting DSP Builder, designing and implementing improvements in the HLD compiler stack. Analyzing bottlenecks in user designs and implementing compiler optimizations. Comprehensive benchmarking of the FPGA targeted generated hardware. Mix of compiler software development and digital hardware design tasks. Qualifications Masters Degree or five years commercial experience in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering or related fields. Strong software skills using C/C++, including working knowledge of efficient data structures and algorithms. Technical knowledge and appreciation of digital hardware design concepts. Good problem solving skills. Good interpersonal and communication skills. Preferred Qualifications Experience with digital hardware design using Verilog/VHDL and related design flows. Experience in developing optimizing compilers. Experience with FPGAs. Job Type Regular Shift Shift 1 (United Kingdom) Primary Location Marlow, Buckinghamshire, United Kingdom Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. About Altera Altera: Accelerating Innovators. Altera provides leadership programmable solutions that are easy to use and deploy in applications from cloud to edge, offering limitless AI possibilities. Our end to end broad portfolio of products includes FPGAs, CPLDs, Intellectual Property, development tools, System on Modules, SmartNICs and IPUs providing the flexibility to accelerate innovation. Altera is helping to shape the future through pioneering innovation that unlocks extraordinary possibilities for everyone on the planet.

WHY JOIN US? We're good at what we do - come and join us and you can benefit from: Blended Working Bonus 25 days holiday plus bank holidays (rising to 28) Option to buy holiday days Wellbeing Programme Health Cash Plan Pension Life Assurance Enhanced Maternity/Paternity Cycle to Work Scheme Referral Scheme Long Service Awards Free Parking ABOUT THE ROLE The Project Manager & Business Analyst (PM/BA) plays a critical role in enabling the successful delivery of Data, Digital, and Process initiatives across Eakin Healthcare. Working at the intersection of business stakeholders, the Data Team, and the Process (ERP & systems) Team, the role ensures that projects are clearly defined, well prioritised, and delivered in a structured, controlled, and value driven manner. As Eakin Healthcare continues to scale through organic growth and acquisition, this role provides essential structure, discipline, and clarity across an increasingly complex data, systems, and process landscape. As Eakin Healthcare's data platforms, systems landscape, and process complexity continue to grow, this role provides essential capability in requirements gathering, process analysis, project coordination, and delivery governance. The PM/BA will take ownership of translating business needs into clear, actionable requirements and structured delivery plans allowing technical and process specialists to focus on execution and value creation rather than administrative overhead. This is a hybrid role combining project management discipline with strong business analysis capability, supporting initiatives across data platforms, reporting, ERP/process optimisation, system integrations, and digital transformation programmes. The PM/BA is accountable for delivery coordination, governance, and outcomes, while technical and process specialists retain accountability for solution design and build. KEY RESPONSIBILITIES Project Management Plan, coordinate, and manage Data & Process projects from initiation through to delivery, ensuring clear scope, milestones, dependencies, and ownership. Maintain project plans, RAID logs, delivery timelines, and status reporting aligned to agreed governance. Support prioritisation of initiatives in collaboration with Data & Process leadership, balancing capacity, business value, and risk. Facilitate project forums, workshops, and steering updates as required. Track delivery progress, proactively managing risks, issues, and dependencies across teams and third-party suppliers where applicable. Business Analysis & Requirements Lead structured requirements gathering with business stakeholders using workshops, interviews, and process walkthroughs. Document business requirements, functional requirements, acceptance criteria, user stories, and process flows in a clear and consistent manner. Analyse current state (as is) and design future state (to be) processes, identifying inefficiencies, risks, and improvement opportunities. Ensure requirements are validated, signed off, and traceable through to delivery and measurable business outcomes. Act as the primary translation layer between business needs and technical / process delivery teams. Process & Change Enablement Support process re-engineering initiatives across ERP, data, and operational workflows. Ensure changes are clearly documented, communicated, and handed over into BAU with appropriate controls. Support business readiness and adoption by working with stakeholders to ensure changes are understood and embedded post-implementation. Contribute to continuous improvement by identifying repeat issues, delivery bottlenecks, and opportunities for standardisation. Other To adhere to the company's Equal Opportunities policy and Dignity at work policy in all activities and to actively promote equality of opportunity wherever possible To be responsible for your own health and safety and that of your colleagues, in accordance with the company's Health and Safety policy To adhere to the company's Quality policy and Environmental policy To undertake other duties as may be reasonably required WHAT WE'RE LOOKING FOR Essential Proven experience in a Project Manager and/or Business Analyst role within IT, Data, Digital, or Process driven environments. Strong experience gathering, documenting, and managing business and functional requirements. Demonstrable ability to manage multiple workstreams and stakeholders concurrently. Excellent written and verbal communication skills, with the ability to engage both technical and non-technical audiences. Strong analytical mindset with the ability to break down complex problems into structured, actionable components. Experience working with cross functional teams, including IT, Data, Finance, Operations, and Commercial functions. Experience operating within complex, multi-stakeholder or multi-entity environments. Desirable Experience supporting Data, Analytics, ERP (e.g. Sage X3), or systems integration projects. Familiarity with pragmatically applying Agile, hybrid, or waterfall delivery approaches. Experience in process mapping and improvement methodologies (e.g. Lean, continuous improvement). Exposure to data governance, reporting, or analytics delivery environments. Experience working with third party vendors or implementation partners. KEY WORKING RELATIONSHIPS Internal Data Team - Data Operations Manager, Analyst Engineers, Data Engineers Process Team - ERP and systems process specialists Business Stakeholders - Finance, Operations, Commercial, Supply Chain, Manufacturing Digital Systems - Infrastructure, Applications, Security (as required) Senior Stakeholders - Executive sponsors and decision makers for prioritised initiatives External Third Party Suppliers - ERP, data platform, and systems vendors COMPETENCIES Manages Complexity Making sense of complex, high-quantity, and sometimes contradictory information to effectively solve problems. Plans and Aligns Planning and prioritising work to meet commitments aligned with organisational goals. Optimises Work Processes Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. Balances Stakeholders Anticipating and balancing the needs of multiple stakeholders. Business Insight Applying knowledge of business and the marketplace to advance the organisation's goals. Communicates Effectively Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Collaborates Building partnerships and working collaboratively with others to meet shared objectives. Manages Ambiguity Operating effectively, even when things are not certain or the way forward is not clear.

Role Overview We are looking for an experienced, outcome-driven Business Analyst to support the delivery of Dynamic Line Rating, Digital Twin and Network Design capabilities within the energy transmission environment. This role requires someone who can operate beyond traditional requirements gathering. The ideal candidate will bring strong core BA competencies, the ability to work with engineering and data teams, and the confidence to turn complex operational needs into clear product outcomes, data-driven decisions, process visibility and measurable business value. You will work closely with Product Owners, Product Managers, engineers, architects, data teams, operational SMEs and delivery teams to shape requirements, improve processes, define product features, strengthen governance, and create visibility across delivery, decisions and outcomes. Key Responsibilities Product, Requirements & Delivery Work with Product Owner, Product Manager and business SMEs to define clear product outcomes for DLR, Digital Twin and Network Design capabilities. Lead requirement discovery, stakeholder interviews, workshops and refinement sessions. Translate complex engineering, operational and business needs into epics, user stories, acceptance criteria and delivery-ready backlog items. Ensure requirements are traceable from business objective to product feature, data need, process change and measurable benefit. Support prioritisation by assessing value, risk, complexity, dependency and operational impact. Work closely with solution architects, data engineers, testers and developers to ensure requirements are understood and delivered correctly. Data-Driven Decision Making Identify what data is required to support better operational and planning decisions. Work with data analysts and engineering SMEs to validate data quality, source systems, assumptions and business rules. Support the creation of evidence-based recommendations for product and process improvements. Ensure decisions are supported by facts, trends, operational evidence and measurable impact. Process, Visibility & Governance Map current-state and future-state processes across DLR, Digital Twin and Network Design workflows. Identify process gaps, handoff issues, manual workarounds, duplication and control weaknesses. Create clear process documentation, SOPs, runbooks, operating models and user guidance. Improve visibility of delivery status, decision points, dependencies, risks and business outcomes. Support governance forums with clear analysis packs, decision logs, RAID updates and executive-level summaries. Stakeholder Engagement Engage confidently with technical and non-technical stakeholders across engineering, operations, asset management, data, digital and delivery teams. Facilitate alignment between business users, SMEs, product teams and technology delivery teams. Challenge constructively where requirements are unclear, assumptions are weak, or value is not defined. Communicate complex topics in a simple, structured and business-friendly way. Support senior stakeholders with concise updates, options analysis and recommendation papers. Support effective backlog management and refinement with the Product Owner. Build trusted relationships with engineering, digital, data and business stakeholders. Essential Skills & Experience 12-15 years of Business Analysis experience, ideally in energy, utilities, asset management or complex engineering environments. Strong understanding of Business Analysis services Experience working on data-heavy products, engineering platforms, digital twins, analytics products or operational decision-support tools. Strong Agile delivery experience, including epics, user stories, acceptance criteria, refinement and backlog management. Excellent process mapping skills using tools such as Visio, or similar. Strong data analysis mindset, with ability to define KPIs, reporting needs, business rules and decision criteria. Experience working with cross-functional teams including Product Owners, architects, engineers, developers, testers and data teams. Ability to create executive-ready documentation, options papers, decision packs and product artefacts. Strong stakeholder management and communication skills. Confident facilitator who can lead workshops and bring structure to ambiguity.

We are looking for a Digital Senior Manager to lead digital and data transformation engagements for major clients across Ireland and the UK. This is a senior, client-facing role for someone who can combine strategic thinking, strong delivery leadership, commercial awareness, and technical credibility to shape solutions, build lasting relationships, and help grow our digital consulting proposition. At OutForm Consulting (B Corp Company), we believe digital transformation should empower people, not overwhelm them. We're also proud to be a certified B Corp, which means we put people and the planet first in everything we do. Key Responsibilities Lead digital and data transformation engagements from shaping and scoping through to delivery and client outcomes. Build trusted relationships with senior client stakeholders and act as a credible advisor on digital strategy, delivery, and change. Develop and oversee solutions using Microsoft Power Platform, including Power BI, Power Apps, and Power Automate, with experience in Microsoft Fabric highly advantageous. Advise on digital and technology strategy, data strategy, governance, enterprise architecture, and roadmap development. Lead the development of dashboards, reporting, KPI frameworks, and management information that turn complex data into actionable insight. Shape solution architecture, business process automation, systems integration, and API-enabled workflows to meet client requirements. Work across business and technical teams to define requirements, support data engineering activity, and translate needs into practical digital solutions. Lead workshops and stakeholder sessions to diagnose challenges, capture requirements, and support the design of sustainable change. Contribute to account growth through opportunity identification, proposal support, and strong commercial delivery. Support the growth of OutForm by mentoring others, building intellectual capital, and strengthening our market presence through high-quality client work. Qualifications & Experience 6+ years' consulting or industry experience in utilities, infrastructure, construction, manufacturing, or other asset-intensive sectors. Strong experience leading digital transformation, business change, or operational improvement initiatives in complex environments. Hands on capability in Microsoft Power Platform (Power BI, Power Apps, Power Automate), with Microsoft Fabric experience highly desirable. Experience in digital strategy, data strategy, data governance, enterprise architecture, or solution design. Strong analytical skills, with the ability to interpret complex data and turn findings into clear, actionable insight. Experience in dashboard development, reporting, KPI design, and management information. Good understanding of data engineering concepts, including ETL processes, data pipelines, APIs, and system integration; SQL knowledge would be advantageous. Strong business analysis skills, including requirements capture, process mapping, and recommending fit for purpose digital solutions. Confident presenting to clients, managing expectations, and building credibility with senior stakeholders. Commercially aware, with experience contributing to proposals, account growth, or broader business development activity. Knowledge and practical use of AI tools, particularly LLMs, to improve efficiency and accelerate delivery would be advantageous. A relevant third level qualification in business, engineering, technology, data, or a related discipline would be beneficial. What we can offer you Top tier financial package with potential for unlimited bonus based on performance. Commitment to diversity, inclusion, and employee well being. Learn from unlimited contact with experienced consulting professionals. Involvement through the full consulting lifecycle from lead generation through to sales, delivery, and account management. 35-45 paid holidays per year (bank holiday flexibility, holiday trading and loyalty bonus). Opportunities for growth in business development, project implementation and personal development plans. Individual benefits via our holistic employee well being and benefits scheme. 5% matched pension contribution. OutForm aims to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable. Location Belfast / Dublin with willingness and ability to travel to client sites across Ireland.

Who We Are: Inspired by a shared love of fashion, sneakers and the surrounding culture, END. was founded in Newcastle upon Tyne back in 2005. Our first UK store brought together a curated mix of celebrated designers and emerging brands, many of which were previously hard to find outside of London. From day one, we've nurtured a community of like minded individuals united by a love for this ever evolving culture. Today, END. serves over 2 million customers worldwide through a seamless blend of online and physical retail. Our industry leading stores in Newcastle, Glasgow, Manchester, London, and Milan reflect our commitment to innovation, influence, and inspiration. We offer a carefully curated selection of menswear, womenswear, sneakers, homeware, and lifestyle products to a global audience. At the heart of END. is our customer and it's our people and culture that make the difference. With over 600 employees across our HQ, offices, and retail locations, our customer first mindset continues to guide everything we do. The Role: Own the reliability, security, performance, and day to day operational excellence of our Shopify Plus platform and its critical integration ecosystem (Shopify Patchworks D365). You'll lead observability, incident response, stability and problem management, and the operational governance that keeps trading safe and predictable. The role also takes BAU ownership of vendor delivered CI/CD pipelines-maintaining release controls, access and configuration, and continuous improvement-while operating effectively within Shopify's SaaS constraints (Shopify managed hosting/CDN/WAF, with clear escalation paths where required). Here's a breakdown of what you'll be doing: CI/CD maintenance & governance: maintain vendor delivered pipelines for themes/apps/integration services; manage access, configurations, release controls, and quality gates; ensure pipelines remain reliable, secure, and well documented (not building net new from scratch). Release & change governance: own the change calendar, release readiness checks, environment parity checks, and exception processes during freeze/peak windows. Shopify Plus security posture (platform managed + escalation paths): understand Shopify managed protections and operate the process to engage Shopify Plus Support (e.g., bot protection schedules) when required. Observability & monitoring: define and maintain dashboards/alerts across storefront experience (RUM/synthetics where available) and integration services; ensure actionable alerting, clear ownership, and ongoing tuning. Service ownership & SLOs: define ownership boundaries, SLIs/SLOs (availability, latency, data freshness), alert thresholds, and regular reporting for platform and integration services. Incident management, stability & problem management: lead triage, stakeholder comms, mitigation, RCA and preventative actions; maintain a stability backlog and drive repeat incident themes to closure to improve MTTR and reduce recurrence. Integration runtime operations: operational ownership of Shopify APIs/webhooks and Patchworks/D365 flows-rate limit safe patterns, idempotent processing, retries/DLQs, replay tooling, reconciliation, and data correctness checks. Data reconciliation & control reporting: implement operational controls for key flows (orders, inventory, pricing, fulfillment) including mismatch detection, audit trails, and repeatable replay/backfill procedures. D365 environment management: oversee Dev/Sandbox, UAT and Production environments (access, refresh cadence, config hygiene, and release readiness). D365 upgrades & release support: manage D365 version upgrades by testing in lower environments first; coordinate regression validation and go/no go decisioning. D365 licence, storage & cost observability: manage user/licence reviews and access governance; monitor and optimize storage/capacity; track and report cost/consumption drivers and optimisation actions. Security & compliance controls (operational): secrets management, least privilege, auditability, dependency hygiene, and secure configuration for apps/services; coordinate security reviews and remediation plans. Peak readiness & resilience: trading event readiness plans (monitoring uplift, incident playbooks, change risk controls/freeze coordination, validation checklists) and business continuity/degraded mode procedures for integration failures. Vendor/platform escalation: manage Shopify Plus / Patchworks / D365 support escalations with evidence packs (logs, timelines, impact) and track actions to closure. Access governance & audit: run periodic access reviews across Shopify apps, Patchworks, D365, and monitoring tooling; maintain joiner/mover/leaver processes and audit evidence. Platform documentation & guardrails: maintain runbooks, operational standards, and "how to operate" documentation; ensure onboarding for Engineering/Support is clear and current. Who we're looking for: Platform/SRE/operations experience supporting high traffic ecommerce, with strong incident management and operational discipline. Experience maintaining CI/CD pipelines delivered by others (e.g., GitHub Actions/Azure DevOps): permissions, secrets, environment configs, release controls/quality gates, and troubleshooting. Strong observability and reliability engineering experience (New Relic/Sentry/Datadog/etc.): defining SLIs/SLOs, improving alert quality, incident analysis, RCA/problem management, and measurable MTTR/incident reduction. Strong integration operations experience across iPaaS/ERP flows: queues/backpressure, rate limiting, idempotency, retries/DLQs, replay/backfill, reconciliation, and data integrity monitoring. Practical understanding of operating within Shopify Plus SaaS constraints (limited edge/WAF control) and implementing controls in the layers you do own (apps, services, integrations, tooling, processes, vendor escalation). Experience operating/supporting D365 environments (Dev/Sandbox, UAT, Prod): environment management, release coordination, upgrade rehearsals/testing in lower environments, and go/no go support. Strong governance capability: access reviews (joiner/mover/leaver), least privilege, audit evidence, and secure operational practices across Shopify/Patchworks/D365 and monitoring tools. Experience with D365 licensing and capacity/storage management, plus cost observability and optimisation. Strong stakeholder management under pressure: clear comms, structured updates, escalation with evidence packs, and calm coordination during peak/trading events. Strong Shopify Plus operational knowledge: Admin API/GraphQL + webhooks, rate limit strategies, bulk operations, and navigating Shopify Plus support/escalation processes. Patchworks (or similar iPaaS) experience: mapping/versioning, error handling patterns, replay/reprocessing, and operational reporting. Hands on D365 platform administration: environment refreshes, release validation, upgrade rehearsals, role/security model familiarity, and capacity/storage optimisation. Infrastructure as Code familiarity (Terraform or equivalent) for the integration/runtime layer (cloud resources, queues, secrets, monitoring as code). Experience with SLO tooling and incident/problem management practices (post incident reviews, stability backlogs, automation/runbook maturity). Experience implementing synthetic monitoring and RUM for ecommerce journeys, including peak readiness monitoring uplift. Besides a competitive salary and an engaging and inclusive work place we can offer you: 30 days holiday (including bank holidays) Flexible working 40 Hours per week - Monday to Friday Holiday trading (Buy or sell 3 days) Your birthday off Access to Employee Assistance Programme Healthcare Cashback Plan Moments that matter gifts (Weddings and Babies) A pension that both you and the company contribute to Generous staff discount Opportunities for professional development and career progression And so much more . We know that great talent comes in many forms. So even if you don't meet every single criteria, we would still love to hear from you. If you're passionate, driven, and believe you can contribute to our future success, we encourage you to apply. Please note: Employment is conditional upon having the legal right to work in the UK for the role offered.

Who We Are AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. We are looking for a Software Engineer II to join the Localization team. Your initial focus will be validation and metrics - extending our regression suite, building performance monitoring, and ensuring localization quality as we scale to new environments and hardware platforms. Over time, you will grow into broader localization engineering work. You will report to a Staff Localization Engineer and collaborate with the Infrastructure, Sim, and Safety teams. For more information, visit . You Will Extend and maintain our localization regression suite and CI-based validation pipeline Build metrics and analyzers that catch performance degradation before it reaches production Develop localization health monitoring and diagnostics tooling Work with real sensor data from autonomous operations to validate and debug localization performance Support the team on general localization tasks - sensor integration, performance tuning, platform migrations - with increasing scope over time You Have 2+ years of experience in robotics or autonomous vehicles Strong Python/C++ skills Experience with Linux and ROS/ROS2 Hands-on experience building test or validation infrastructure - replay pipelines, automated metrics, regression frameworks Understanding of localization fundamentals (sensor fusion, SLAM, GNSS/INS) BS in Computer Science, Robotics, Electrical/Mechanical Engineering, or related field We Prefer MS with focus on localization, state estimation, or robotics Experience with CI/CD pipelines for offline evaluation at scale Familiarity with graph-based SLAM or optimization tools (GTSAM, Ceres, GLIM) Exposure to embedded compute platforms (Jetson or similar) Experience with safety-critical validation or V&V processes

Who We Are: Inspired by a shared love of fashion, sneakers and the surrounding culture, END. was founded in Newcastle upon Tyne back in 2005. Our first UK store brought together a curated mix of celebrated designers and emerging brands, many of which were previously hard to find outside of London. From day one, we've nurtured a community of like minded individuals united by a love for this ever evolving culture. Today, END. serves over 2 million customers worldwide through a seamless blend of online and physical retail. Our industry leading stores in Newcastle, Glasgow, Manchester, London, and Milan reflect our commitment to innovation, influence, and inspiration. We offer a carefully curated selection of menswear, womenswear, sneakers, homeware, and lifestyle products to a global audience. At the heart of END. is our customer and it's our people and culture that make the difference. With over 600 employees across our HQ, offices, and retail locations, our customer first mindset continues to guide everything we do. The Role: Own the reliability, security, performance, and day to day operational excellence of our Shopify Plus platform and its critical integration ecosystem (Shopify Patchworks D365). You'll lead observability, incident response, stability and problem management, and the operational governance that keeps trading safe and predictable. The role also takes BAU ownership of vendor delivered CI/CD pipelines-maintaining release controls, access and configuration, and continuous improvement-while operating effectively within Shopify's SaaS constraints (Shopify managed hosting/CDN/WAF, with clear escalation paths where required). Here's a breakdown of what you'll be doing: CI/CD maintenance & governance: maintain vendor delivered pipelines for themes/apps/integration services; manage access, configurations, release controls, and quality gates; ensure pipelines remain reliable, secure, and well documented (not building net new from scratch). Release & change governance: own the change calendar, release readiness checks, environment parity checks, and exception processes during freeze/peak windows. Shopify Plus security posture (platform managed + escalation paths): understand Shopify managed protections and operate the process to engage Shopify Plus Support (e.g., bot protection schedules) when required. Observability & monitoring: define and maintain dashboards/alerts across storefront experience (RUM/synthetics where available) and integration services; ensure actionable alerting, clear ownership, and ongoing tuning. Service ownership & SLOs: define ownership boundaries, SLIs/SLOs (availability, latency, data freshness), alert thresholds, and regular reporting for platform and integration services. Incident management, stability & problem management: lead triage, stakeholder comms, mitigation, RCA and preventative actions; maintain a stability backlog and drive repeat incident themes to closure to improve MTTR and reduce recurrence. Integration runtime operations: operational ownership of Shopify APIs/webhooks and Patchworks/D365 flows-rate limit safe patterns, idempotent processing, retries/DLQs, replay tooling, reconciliation, and data correctness checks. Data reconciliation & control reporting: implement operational controls for key flows (orders, inventory, pricing, fulfillment) including mismatch detection, audit trails, and repeatable replay/backfill procedures. D365 environment management: oversee Dev/Sandbox, UAT and Production environments (access, refresh cadence, config hygiene, and release readiness). D365 upgrades & release support: manage D365 version upgrades by testing in lower environments first; coordinate regression validation and go/no go decisioning. D365 licence, storage & cost observability: manage user/licence reviews and access governance; monitor and optimize storage/capacity; track and report cost/consumption drivers and optimisation actions. Security & compliance controls (operational): secrets management, least privilege, auditability, dependency hygiene, and secure configuration for apps/services; coordinate security reviews and remediation plans. Peak readiness & resilience: trading event readiness plans (monitoring uplift, incident playbooks, change risk controls/freeze coordination, validation checklists) and business continuity/degraded mode procedures for integration failures. Vendor/platform escalation: manage Shopify Plus / Patchworks / D365 support escalations with evidence packs (logs, timelines, impact) and track actions to closure. Access governance & audit: run periodic access reviews across Shopify apps, Patchworks, D365, and monitoring tooling; maintain joiner/mover/leaver processes and audit evidence. Platform documentation & guardrails: maintain runbooks, operational standards, and "how to operate" documentation; ensure onboarding for Engineering/Support is clear and current. Who we're looking for: Platform/SRE/operations experience supporting high traffic ecommerce, with strong incident management and operational discipline. Experience maintaining CI/CD pipelines delivered by others (e.g., GitHub Actions/Azure DevOps): permissions, secrets, environment configs, release controls/quality gates, and troubleshooting. Strong observability and reliability engineering experience (New Relic/Sentry/Datadog/etc.): defining SLIs/SLOs, improving alert quality, incident analysis, RCA/problem management, and measurable MTTR/incident reduction. Strong integration operations experience across iPaaS/ERP flows: queues/backpressure, rate limiting, idempotency, retries/DLQs, replay/backfill, reconciliation, and data integrity monitoring. Practical understanding of operating within Shopify Plus SaaS constraints (limited edge/WAF control) and implementing controls in the layers you do own (apps, services, integrations, tooling, processes, vendor escalation). Experience operating/supporting D365 environments (Dev/Sandbox, UAT, Prod): environment management, release coordination, upgrade rehearsals/testing in lower environments, and go/no go support. Strong governance capability: access reviews (joiner/mover/leaver), least privilege, audit evidence, and secure operational practices across Shopify/Patchworks/D365 and monitoring tools. Experience with D365 licensing and capacity/storage management, plus cost observability and optimisation. Strong stakeholder management under pressure: clear comms, structured updates, escalation with evidence packs, and calm coordination during peak/trading events. Strong Shopify Plus operational knowledge: Admin API/GraphQL + webhooks, rate limit strategies, bulk operations, and navigating Shopify Plus support/escalation processes. Patchworks (or similar iPaaS) experience: mapping/versioning, error handling patterns, replay/reprocessing, and operational reporting. Hands on D365 platform administration: environment refreshes, release validation, upgrade rehearsals, role/security model familiarity, and capacity/storage optimisation. Infrastructure as Code familiarity (Terraform or equivalent) for the integration/runtime layer (cloud resources, queues, secrets, monitoring as code). Experience with SLO tooling and incident/problem management practices (post incident reviews, stability backlogs, automation/runbook maturity). Experience implementing synthetic monitoring and RUM for ecommerce journeys, including peak readiness monitoring uplift. Besides a competitive salary and an engaging and inclusive work place we can offer you: 30 days holiday (including bank holidays) Flexible working 40 Hours per week - Monday to Friday Holiday trading (Buy or sell 3 days) Your birthday off Access to Employee Assistance Programme Healthcare Cashback Plan Moments that matter gifts (Weddings and Babies) A pension that both you and the company contribute to Generous staff discount Opportunities for professional development and career progression And so much more . We know that great talent comes in many forms. So even if you don't meet every single criteria, we would still love to hear from you. If you're passionate, driven, and believe you can contribute to our future success, we encourage you to apply. Please note: Employment is conditional upon having the legal right to work in the UK for the role offered.

Overview Job Description Purpose of the role To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports. This role is based in Glasgow with a hybrid working model of working a minimum of 2 days per week in the office. Responsibilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement Design and building data pipelines to automate data movement and processing Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI Through data driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad hoc stakeholder needs Contribute or set strategy, drive requirements and make recommendations for change Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, define jobs and responsibilities, planning for the department's future needs and operations, counseling employees on performance and contributing to employee pay decisions/changes Lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard (Listen, Energise, Align, Develop) Qualifications Strong Requirements Engineering & Agile Analysis: Eliciting, validating and documenting BRDs/FRDs/user stories, Backlog refinement, feature mapping, supporting testing, working within Agile frameworks Domain Expertise in any banking stack: Core Banking, Onboarding, Payments, FX, Liquidity and Cash Management etc.; experience in a data mesh world or understanding concepts around data as a product Agile Ceremonies & SAFe Program Events: Strong proficiency in writing epics, capabilities, features, and user stories with acceptance criteria that meet Definition of Ready/Definition of Done Exposure to Broader Banking Product Stacks: Payment's domain deep dive, Core banking systems, ETL / reporting flows, Integration with middleware (Kafka, MQ, file based patterns) Technical Awareness & Analytical Tools: SQL/data interpretation, understanding of data models, interfaces and system behaviour, ability to support issue triage (defects, test cycles) Risk Management & Regulatory Awareness: Risk & Controls, Regulatory Reporting, Liquidity Risk Experience working within or understanding data mesh concepts and "data as a product" principles Risk and controls, change and transformation, business acumen, strategic thinking and digital and technology skills People Leadership Expectations People Leaders are expected to demonstrate the Barclays values of Respect, Integrity, Service, Excellence and Stewardship and the Barclays Mindset of Empower, Challenge and Drive Manage and mitigate risks through assessment, in support of the control and governance agenda Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business Collaborate with other areas of work to keep up to speed with business activity and the business strategies

About the role As a Senior CX/UX Designer in the TAA UK UX team, you will lead the design of complex, end to end experiences across one or more product areas, supporting professional users in performing critical tasks accurately and efficiently. You will operate with a high level of autonomy in ambiguous problem spaces, leading discovery, defining problems, and translating insights into clear, scalable solutions. Your work will connect user needs, business goals, and regulatory requirements, ensuring that decisions are both user centered and commercially grounded. Key responsibilities Design & delivery Lead end to end design for complex product areas, from early exploration to delivery ready outcomes. Design structured user flows, interaction models, and high fidelity prototypes for multi step, data heavy workflows. Ensure designs are development ready, collaborating closely with engineers to support effective handover and implementation. Maintain a high bar for quality, consistency, usability, and accessibility, ensuring designs support accurate, efficient task completion and align with product goals. Discovery & research Lead discovery and exploratory research in ambiguous or undefined problem spaces, in collaboration with Research where appropriate. Plan, design, and execute mixed method research independently, selecting appropriate approaches based on context. Map user journeys, workflows, mental models, and pain points across roles and product areas. Synthesize findings into clear problem definitions, opportunities, and actionable design directions. Use qualitative and quantitative insights (e.g., usability findings, behavioural data) to inform decisions and shape product direction. Strategy & product influence Contribute to and shape product vision and longer term experience direction within your product area. Influence roadmap priorities through evidence based insights and structured problem framing. Translate business goals, regulatory requirements, and user needs into clear design strategies. Connect research insights directly to business outcomes and product decisions. Provide clear, structured recommendations to stakeholders to support decision making. Collaboration & communication Work closely with product managers, engineers, and domain experts in planning and delivery. Facilitate workshops and design discussions (e.g., discovery sessions, journey mapping, problem framing) to align teams, drive progress, and support decision making. Communicate design rationale clearly, using evidence, principles, and structured thinking to support alignment and influence decisions. Support and guide other designers through structured feedback and shared standards, helping raise overall quality and consistency of design output. Design systems & governance Contribute to shared design systems, patterns, and standards across products. Ensure alignment with accessibility requirements and inclusive design practices. Promote and uphold consistency and scalability across a multi product ecosystem, supporting the effective use of shared patterns and standards. AI & innovation Apply AI tools where they add value to research, ideation, and design workflows. Design and contribute to AI enabled features, considering usability, transparency, user trust, and responsible use. Define and evaluate success criteria for AI supported experiences where relevant. Required skills & competencies UX & interaction design Strong experience designing complex, data heavy, or compliance driven software, including structuring workflows and interactions to support accurate and efficient task completion. Proven ability to lead end to end design across discovery and delivery, making clear, well reasoned design decisions throughout. Advanced proficiency in Figma, including high fidelity prototyping and design documentation. Experience working with and contributing to design systems in multi product environments. Research & problem framing Strong experience planning and conducting user research independently using appropriate qualitative and quantitative methods. Ability to define problems clearly, structure ambiguous spaces, and translate insights into effective design solutions that inform product decisions and priorities. Experience mapping workflows, user journeys, or mental models in complex environments. Product & strategic thinking Ability to connect user experience work to product goals, business outcomes, and regulatory context. Experience influencing product decisions and priorities within their assigned product or feature area through evidence and structured reasoning. Strong systems thinking across workflows, roles, and product ecosystems. Enterprise collaboration Experience working in cross functional, matrixed teams within a large organization. Ability to balance user, business, regulatory, and technical considerations. Strong communication skills, with the ability to present and defend design decisions clearly and influence outcomes. Ability to facilitate discussions, navigate differing perspectives, and support effective decision making. Data, metrics & evaluation Experience using analytics and other quantitative signals alongside qualitative research to inform design decisions. Ability to define and use success metrics for features or experiences, evaluating and iterating on outcomes. Mindset & ways of working Comfortable taking ownership of complex problem spaces and driving them forward independently. Open to feedback and able to engage in constructive design discussions, handling differing perspectives professionally and without defensiveness. Proactive, structured, and outcome focused in approach, taking accountability for delivering high quality solutions. Willingness to build domain knowledge and adapt to evolving contexts, navigating complexity with confidence. What success looks like Over time, success will be evident when your product area develops a clear, evidence backed experience direction that guides design decisions; design decisions are grounded in user insights, regulatory context, and business goals; product partners increasingly rely on UX to support problem framing, prioritisation, and decision making; complex workflows become easier, safer, and more efficient for users, with clear improvements in usability and task completion. Benefits We provide well being benefits and a supportive culture that promotes physical, mental, social, and financial well being. Equal Employment Opportunity All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law. We do not tolerate discrimination on any of these bases.

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric, Inspiring dedication, Persevering, Growing by reflection. Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary We are seeking a talented and forward-thinking AI Engineer (Spatial Intelligence) to bridge the gap between physical environment sensing and on-device Personal Intelligence. In this role, you will develop the critical foundation models that allow consumer devices to understand their physical surroundings and retrieve relevant local data. You will be at the forefront of building the next generation of maps, entirely powered by edge-AI. Key Responsibilities Foundation Models Optimization: Deploy and fine-tune multimodal models for consumer grade edge hardware and highly specialized use cases. Spatial Systems: Build prototypes to translate geospatial data into structured formats optimized for LLM reasoning. Vector Search: Design high performance data retrieval solutions optimized for distributed spatial and geographic data. Thematic Mapping: Create data pipelines to enrich traditional mapping systems with real time semantic context. Demo Development: Produce fully functional solution to demonstrate viability of concepts or new model abilities. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Person Specification Required Skills & Qualifications AI & Machine Learning: Strong experience working with LLMs, foundation models, or multimodal AI architectures. Data Experience: Solid understanding of geospatial data, vector embeddings, or semantic search. Edge Computing: Familiarity with running models under local hardware constraints (e.g., ONNX, TensorRT, CoreML). Programming Proficiency: Advanced skills in orchestration frameworks such as: Pydantic AI, AutoGen, or LangGraph. Education: Degree in Computer Science, Robotics, Engineering, or equivalent practical experience.

At Canopius, our delivery teams are responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. The Data Architect owns the end-to-end design and evolution of our enterprise data architecture, defining how data is stored, integrated, secured and managed across solutions. The ideal candidate will be an experienced data architect who is excited by the opportunity to shape enterprise data standards, drive data re-use and interoperability across the organisation, and leverage modern technologies to simplify the data estate and unlock greater value from data. You should be able to understand business problems and translate them into robust, efficient and well-governed data designs, including conceptual, logical and physical data models, while owning and maintaining data modelling standards and architecture principles. You should be comfortable collaborating in project teams and cross-departmental squads including business analysts, data analysts, developers and solution architects to deliver business solutions. The role also owns the end-to-end data architecture of our enterprise Lakehouse platform on Databricks, including data modelling, storage patterns, integration approaches, data sharing patterns and governance guardrails. In addition, the role is responsible for shaping the future-state data architecture, supporting transition roadmaps, and driving simplification through the rationalisation of legacy data assets and technical debt. The candidate should be a practical, delivery-focused architect with strong interpersonal skills and a proven track record of producing data architecture artefacts, shaping solution designs and working closely with delivery teams to implement robust data solutions. Responsibilities Define conceptual, logical and physical data models, information models and associated data dictionaries to meet enterprise and delivery-specific requirements. Own the end-to-end architecture of the enterprise Lakehouse platform on Databricks, including data modelling, storage layers, processing patterns, integration approaches and data sharing standards. Define and evolve the future-state data architecture and associated transition roadmaps, identifying opportunities to simplify the landscape through rationalisation of legacy data assets, duplicated capabilities and technical debt. Define data architecture principles, guardrails, standards and reusable patterns, ensuring alignment to enterprise naming conventions, canonical business definitions and domain boundaries. Define and evolve insurance data models and standards across underwriting, policy, claims, finance, actuarial and regulatory use cases. Define security, privacy and regulatory requirements for data architecture, including data classification, access control, retention, lineage, metadata and information quality controls. Collaborate with business stakeholders, delivery teams and solution architects to capture data requirements, shape solution options and communicate risks, issues and trade-offs. Partner closely with data engineers and solution teams to ensure architecture designs can be implemented scaled and aligned to modern engineering patterns and best practices. Define data integration solutions and source to target mappings between business applications as well as between applications and the data platform, to ensure that data is synchronised promptly as required and remains in line with relevant data models and data quality controls. Produce and maintain the reference data catalogue, ensuring that reference data is understood, fit for purpose, aligned with enterprise standards and appropriately versioned and maintained. Review and contribute to solution design artefacts in collaboration with Data Governance and Compliance to ensure that data quality, governance, security and privacy requirements are addressed appropriately, and contribute to architecture decision forums and governance processes for design assurance and sign-off. Specify key data fields, data capture rules, validation rules and reference data requirements required to support critical business processes and data solutions. Own integration and data sharing standards, including interface specifications such as JSON and REST APIs, ensuring that structures support interoperability, decoupling and future-proofing. Represent information in forms appropriate to the solution context, including UML-friendly models, JSON structures and relational models, and evolve ways of working to improve maintainability and re-use. Design for performance, scalability, resilience and cost efficiency across the data platform and associated data services. Mentor delivery team members on best practices in data architecture and support requirement gathering across data flows, transformations, validation rules and non-functional requirements. Skills and Experience Proven track record of delivering data architecture artefacts for a variety of solutions. Experience of creating information models for analytical and operational use cases. Proficient in modelling and architecture tools such as Erwin and Sparx EA, with the ability to apply sound architecture principles and modelling practices regardless of tooling. Strong knowledge of SQL, relational modelling and JSON. Strong experience designing data architectures for modern cloud data platforms, including Databricks and Azure. Experience defining architecture principles, reusable patterns and guardrails rather than relying solely on tool-specific approaches. Prior experience of data model and data management design within delivery projects for underwriting, policy administration or claims applications. Experience defining metadata, lineage and data quality monitoring requirements within enterprise data platforms. Understanding of data security, privacy, access control and regulatory considerations relevant to enterprise and insurance data. Experience designing for performance, scalability, resilience and cost efficiency across data platforms and data services. Proven experience of stakeholder management skills at all levels, with the ability to influence senior business and technology stakeholders. Good communication and presentation skills; able to convey ideas, information and concepts effectively with business stakeholders and team members. Must be able to work independently on certain tasks, as well as in team environments. Experience working in cross-functional teams and mentoring project team members. Understanding of London or Lloyd's Market insurance conceptual data models and associated business data standards would be beneficial. Experience using enterprise architecture tooling such as Bizzdesign Horizzon would be beneficial. About Us Our benefits We offer all employees a comprehensive benefits package that focuses on their whole wellbeing. This includes hybrid working, a competitive base salary, non-contributory pension, discretionary bonus, insurances including health (family) and dental cover, and many other benefits to enhance financial, physical, social and psychological health. Canopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd's of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda. At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results. Based in incredible new offices in the heart of the City of London, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected. We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds. We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.

Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. About Mark43 Mark43 empowers communities and their governments with technology that improves safety and quality of life. We build modern, resilient software that first responders and public safety agencies depend on in their most critical moments. Senior Software Engineer - Universal Search In this role, you'll build and scale the systems behind our universal search platform that powers fast, accurate, and secure access to critical data across our RMS, CAD, and analytics products. You'll work on distributed systems, real time data indexing, and modern search technologies to support life saving decision making for our public safety users. What You'll Do If you were on our team last week, you might have: Led end to end system design for a new universal search experience across RMS, CAD, and other core components, collaborating with Product and cross functional engineering teams to ensure a scalable, secure, and user friendly solution that spans domains. Extended platform configurability and connectivity to tap new search data sources using AI powered coding tools to accelerate development while maintaining high standards for code quality. Reviewed pull requests for enhancements to our authorization layer and index mappings in configurations, providing detailed architectural and performance focused feedback to improve clarity, maintainability, and system resilience. Acted as release manager, coordinating deployment logistics, validating release readiness, and ensuring smooth, downtime free updates to production through clear cross team communication. Owned the end to end delivery of a feature supporting permission aware global search filtering, aligning closely with Product, Infrastructure, and Design from technical feasibility through post release monitoring. Mentored junior engineers, pair programmed through complex debugging sessions, and coached teammates on prioritizing technical debt while delivering roadmap commitments. Participated in the on call rotation, triaged and resolved a spike in failed search queries, and led a structured Root Cause Analysis (RCA) to drive follow up improvements in system observability and alerting. What You'll Need We're looking for a senior backend engineer with at least 4+ years of professional experience who can take ownership, lead initiatives, and operate with autonomy in a distributed systems environment. Must Haves Proficiency in Java or TypeScript/JavaScript with strong backend development experience. Experience integrating and working with third party systems to support search functionality across domains. Familiarity with event driven architectures using Amazon SNS, Amazon SQS, or Kinesis. Strong experience with AWS services such as Lambda, API Gateway, Step Functions, S3, ECS/EKS, DynamoDB, Aurora/RDS, IAM, and CloudWatch. Prior experience using AI engines to increase development velocity and deliver results. Solid understanding of indexing strategies, document schema design, and query optimization. Comfort working with CI/CD workflows and Infrastructure as Code (IaC) tools in a serverless first, microservices based architecture. Excellent written and verbal communication skills. Nice to Have Prior experience working on multi tenant platforms or large scale search products. Familiarity with public safety or regulated domains. Knowledge of security best practices around data access and query auditing. People Who Thrive on Our Team Also Tend to Be Mission driven - You care deeply about building technology that improves lives and strengthens communities. Curious and humble - You ask questions before making assumptions and actively seek feedback. Team oriented - You value cross functional collaboration as a key to shipping great software. Growth minded - You look for ways to improve every day, even if the path isn't always clear. Calm under uncertainty - You're comfortable navigating ambiguity and solving problems without a roadmap. Location This role is based in our Manchester, UK office and follows a hybrid work model. Team members are expected to be in the office at least three days per week to foster strong collaboration and a connected team environment. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email requesting the accommodation.