1414 jobs found

Department / Business Unit Baines Simmons /Operations Reports To Operations Director Direct Reports None Grade / Band Graduate Location UK Hybrid (Bracknell) Employment Type Full-time Budget Responsibility None Purpose of the Role TrustFlight's Operations department delivers a high volume of aviation safety training, consultancy, and compliance services to clients globally. As the business scales, the administrative and coordination burden across scheduling, travel, contracting, and client communications has grown significantly. This role exists to identify, design, and implement digital and AI-powered solutions that automate and streamline the operational workflows underpinning consultant scheduling, travel logistics, contractor management, and client-facing communications - including course joining instructions, certificates, course materials, and Microsoft Teams setup. The AI & Digital Solutions Engineer will act as the bridge between operational need and technology capability, transforming manual, repetitive processes into scalable, intelligent workflows that free the wider team to focus on high-value delivery. Whilst Operations is the primary focus, the role will also extend AI and automation capability into Business Development and Product, supporting pipeline workflows, proposal generation, and product feedback processes as the function matures. Scope & Decision Making Authority Design, build, and deploy automation solutions for agreed operational workflows using AI and no-code/low-code tooling, within a structured support framework during the initial onboarding period. Select and recommend appropriate tools and platforms for workflow automation, within agreed budget parameters and subject to IT governance sign off. Propose and pilot new digital solutions with line manager oversight, progressing toward greater autonomy as experience and confidence develop. Escalate to Operations Director for significant new vendor contracts, material changes to client facing communications, or solutions that touch personal or sensitive data. Cross functional coordination with Training Delivery, Consulting, Client Success, Business Development, and Product teams to gather requirements and implement agreed solutions. Scope covers Operations as the primary function, with cross functional remit extending to Business Development and Product from day one. Key Relationships Internal Operations Director - regular check in on priorities, solution sign off, and strategic alignment. Operations Coordinators, Admins & Consultants - day to day requirements gathering, testing, and adoption support for new workflows. IT & Engineering - technical governance, data security review, and integration support where required. Senior Leadership Team - periodic reporting on operational efficiency gains and automation ROI. Business Development Team - automation of proposal generation, CRM workflows, and pipeline reporting. Product Team - digital tooling support for product feedback loops, release communications, and internal reporting. External Training & Consultancy Clients - automated and semi automated communications for joining instructions, certificates, course materials, and Teams invitations. Contractors & Freelance Consultants - digital onboarding, contracting, scheduling notifications, and engagement management. Software & Platform Vendors - procurement, configuration, and ongoing management of automation and scheduling tools. Key Responsibilities Audit and map current operational workflows - including consultant scheduling, travel booking, contractor contracting, and client communications - to identify automation and AI opportunities. Design and build end to end digital workflows using AI tools, automation platforms, and scheduling systems to reduce manual effort across the Operations team. Implement intelligent scheduling solutions for consultant time allocation, ensuring visibility of availability, conflict resolution, and automated notifications to all parties. Automate the full client communication lifecycle for training and consultancy engagements, including generation and dispatch of joining instructions, course materials, Teams meeting invitations, and post course certificates. Build and maintain a digital contractor management workflow covering sourcing triggers, contract generation, engagement tracking, and payment milestone coordination. Own the technology stack for Operations automation - evaluating tools, managing licences, and ensuring solutions remain fit for purpose as the business evolves. Champion adoption of new digital workflows across the Operations team, providing training, documentation, and ongoing support. Monitor solution performance, identify failure points, and continuously improve automations to increase reliability and coverage. Support the Business Development team with AI assisted proposal workflows, CRM automation, and pipeline visibility tooling to accelerate the sales cycle. Collaborate with the Product team to design and implement digital solutions that streamline product feedback collection, internal reporting, and release communication processes. Key Metrics for Success Within 90 days: Full audit of operational workflows completed and an automation roadmap agreed with the Operations Director. Within 6 months: At least 3 core workflows automated (e.g. consultant scheduling notifications, client joining instructions, contractor contract generation), with measurable reduction in manual processing time of 40%. Within 12 months: End to end automation coverage across scheduling, travel coordination triggers, client communications, and contractor onboarding, delivering a quantified saving of 60 hours/week for the Operations team. Client communication error rate (wrong materials, missed invites, late certificates) reduced to Stakeholder satisfaction score of 4+/5 from internal Operations team on quality and usability of implemented solutions. Deliver at least one agreed automation solution for each of Business Development and Product within the first 12 months. AI & Digital Competency TrustFlight is an AI first organisation. Every role is expected to actively engage with AI tools and digital ways of working to drive efficiency, quality, and innovation. AI Fluency Tier Tier Profile Expectations Tier 3 AI Builder Develops and integrates AI powered solutions. Builds, fine tunes, or integrates AI/ML models and pipelines. Establishes evaluation frameworks for AI systems. Ensures responsible AI practices (fairness, transparency, data governance). Contributes to TrustFlight's AI strategy. Role Specific AI & Digital Skills Design and deploy AI assisted scheduling systems that intelligently match consultant availability to client demand, accounting for skills, location, and travel constraints. Use LLM powered tools to auto generate personalised client communications - joining instructions, Teams invites, course materials packs, and post course certificates. Build AI assisted contractor matching and contract generation workflows, reducing turnaround time from requirement to signed agreement. Apply AI tools for document classification and routing - ensuring the right materials reach the right clients at the right time. Leverage AI powered analytics to surface operational bottlenecks and recommend process improvements proactively. AI Development & Growth Complete TrustFlight's AI fluency onboarding programme within first 30 days. Share automation wins, prompt libraries, and AI use cases with the wider team on a quarterly basis. Actively participate in TrustFlight's internal AI community of practice, contributing Operations specific use cases and learnings. Competencies & Behaviours Innovation - Proactively identifies and implements technology driven improvements; comfortable experimenting with new tools and approaches. Delivery Focus - Takes ownership of solutions end to end; balances speed of iteration with stability and reliability of outputs. Collaboration - Builds trust with non technical stakeholders; listens carefully to operational needs before designing solutions. Customer Centricity - Keeps the client experience and consultant wellbeing central to every workflow decision. Analytical Thinking - Breaks down complex, multi step processes into logical components; uses data to prioritise and validate improvements. Adaptability - Thrives in a fast moving environment; adjusts priorities readily as operational needs evolve. Working Arrangements Working Hours 37.5 hours per week, core hours 09:00-17:00 Work Pattern Hybrid - minimum 3 days office (Bracknell) for first 6 months, 2-3 days thereafter Travel Requirements None Anticipated On Call / Shift Work None Special Conditions Right to work in the UK required Required Qualifications & Experience A degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a closely related technical discipline - achieved or expected at 2:1 or above. Demonstrated academic study of AI and machine learning concepts, including LLMs, automation, or intelligent systems - evidenced through coursework, dissertations, modules, or equivalent self directed learning. . click apply for full job details

Salary Circa £55,000 depending on experience Dynamic (hybrid) working 2 days per week on-site due to workload classification Security Clearance British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity In this role you will design enterprise wide data and BI solutions brought together from varied sources - business data, simulators, missile test systems, shop floor machines - and then turning them into a governed, value generating asset. Key Responsibilities Capture needs and deliver end to end data solutions across technical and business domains. Build scalable ETL/ELT and streaming pipelines from simulators, HIL/SIL benches, MES/SCADA, ERP, and PLM. Architect data lakes, warehouses, lakehouses, and time series stores. Develop Power BI analytics for self service, KPI monitoring, and executive reporting. Define data models, governance, quality, lineage, and security aligned with defence requirements (ITAR/EAR, cybersecurity). Drive DataOps: CI/CD, monitoring, CaaS - Container as a Service - integration model on hybrid/on prem environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low Code No Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power BI, DAX, Tableau) T/OT integration, Industry 4.0. DevOps/DataOps: Git, Docker, Kubernetes, CI/CD. Awareness of DO-178C, ISO 27001, MOD guidelines appreciated. Soft Skills Transverse mindset Autonomy and ownership Strong collaboration across multidisciplinary international teams Pragmatic problem solving We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable- and valued-contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team Roku pioneered TV streaming and continues to innovate and lead the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on building customer relationships with Roku that delight and engage them. Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience to the right customer at the right time on the right marketing channel. The team is focused on turning data, experimentation, and intelligent decisioning into production systems that improve marketing effectiveness at scale. Our mission is to build cutting edge advertising technology and marketing products to support and grow a sustainable advertising business. The team owns server technologies, data platforms, and cloud services that power advertising and marketing use cases. We are recruiting a Senior Machine Learning Engineer to build and enhance intelligent systems that help the marketing team harness the power of data. About the Role The MarTech team at Roku is looking for a seasoned Senior Machine Learning Engineer with a strong background in machine learning and production systems. This role sits in a team working on high-impact problems across marketing and advertising, where machine learning is being applied to improve customer decisioning, creative and campaign performance, and the systems that support experimentation and optimisation. Examples of such problems include creative personalisation for customers, improving ad relevance and targeting, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can work effectively with engineering, product, data science, and commercial stakeholders across Roku. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. This role requires hybrid working from the Roku Manchester office. What You'll Be Doing Data Analysis / Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models. Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/system performance, quality and accuracy. Near Real-Time and Batch Inferencing: Use infrastructure like Spark and Ray to stand up inferencing services that integrate with operational/analytics workloads. ML Infrastructure: Help build a first-class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality. Low-Level Systems Debugging, Performance Measurement & Optimisation: Performance measurement and optimisation on large production clusters. We're Excited If You Have First-hand experience in applied machine learning on real recommendations use cases (brownie points for productionised sequential learning use cases!). Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc. Experience with real-time scoring/evaluation of models with low latency constraints. Great coding skills and strong software development experience (we use Spark, Python and Java a lot). Ability to work with large-scale computing frameworks, data analysis systems and modelling environments. Examples include technologies like Spark, Hive, NoSQL stores etc. Bachelor's, Master's or PhD in Computer Science, Statistics or a related field. Ad tech/Mar tech background is a plus. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Data Engineer (Mid Level ), GlobalApplylocations: London, Englandtime type: Full timeposted on: Posted Todayjob requisition id: R23540# About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology of the world's well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.# Position Overview This position will be based at our office in London in alignment with our flexible work policy. (3 days on site, 2 days from home). Vantage Data Centers is seeking a Mid Level Data Engineer to help build, operate, and scale our enterprise data platform. This role is designed for an engineer who can operate independently, execute reliably in a fast paced environment, and take ownership of data pipelines and datasets with minimal ramp up.As part of the Data Engineering & Business Intelligence team, you will be responsible for delivering production ready data solutions that support analytics, reporting, and emerging AI enabled use cases. You will work closely with senior data engineers and business partners, but this role assumes a self starter mindset with the ability to move from requirements to implementation without constant oversight.Success in this position requires comfort with ambiguity, strong execution discipline, and accountability for results.# Essential Job Functions Design, build, and maintain reliable, scalable data pipelines using Python and PySpark on the Microsoft Azure data platform. Develop and operate batch and incremental data pipelines leveraging Azure Data Factory for orchestration and Azure Data Lake Storage Gen2 as the primary data store. Independently implement SQL- and Spark based transformations to produce curated datasets that support enterprise reporting, analytics, and downstream consumption. Take ownership of assigned data pipelines and datasets, including monitoring, troubleshooting, and performance optimization in production environments. Work with Azure Synapse (dedicated or serverless where applicable) to support analytical workloads and data consumption patterns. Collaborate with business analysts and cross functional stakeholders to translate data requirements into practical, working data solutions. Prepare and structure data to support advanced analytics and AI enabled use cases by ensuring data quality, consistency, and documentation. Apply established data governance, security, and engineering standards to ensure compliant, maintainable, and scalable solutions. Participate in code reviews, technical discussions, and platform improvement initiatives as an active contributor. Proactively identify data quality issues, pipeline risks, and improvement opportunities, and communicate them clearly in a fast paced environment.# Duties Develop and maintain PySpark notebooks and jobs to ingest, transform, and curate data within the enterprise data platform. Build and modify Azure Data Factory pipelines for batch and incremental data ingestion. Implement Spark based transformations that write curated datasets to Azure Data Lake Storage Gen2 using established folder structures and naming conventions. Create and maintain SQL views and tables in Azure Synapse to support analytics and reporting use cases. Respond to pipeline failures, data validation issues, and operational alerts. Perform basic performance tuning of Spark jobs (e.g., partitioning, filtering, incremental logic) within established architectural patterns and standards. Validate data outputs with business partners and address data defects or discrepancies. Commit code using Git, follow branching standards, and participate in pull request reviews. Update documentation for pipelines, datasets, and operational runbooks as changes are made. Execute assigned backlog items within sprint timelines and raise risks or blockers early. Additional duties as assigned by management# Job Requirements Education & Experience Bachelor's degree in Engineering, Computer Science, Data Analytics, or a related field, or equivalent experience. Minimum of 3-5 years of experience in data engineering or analytics engineering. Proficiency in Python for building and maintaining data pipelines, automation, and data processing workflows, including use of PySpark. Proficiency in SQL for querying, transformation, and analytical data processing. Solid understanding of ETL/ELT pipelines, data transformation patterns, and data integration concepts. Experience analyzing enterprise data sources to identify data relationships, transformations, and business rules. Experience building solutions on the Microsoft Azure platform with exposure to services such as Azure Data Factory, Azure Synapse, Azure Data Lake Storage Gen2, and related analytics services. Experience working with source control and CI/CD workflows using tools such as GitHub or Azure DevOps. Working knowledge of data modeling fundamentals, including fact and dimension tables. Strong communication and interpersonal skills with the ability to collaborate across teams in a fast paced environment. Experience working in Agile development environments. Experience using collaboration and project tracking tools such as Jira or similar tools. Travel required is expected to be up to 10% but may increase over time as the business evolves. Desired Qualifications Experience working with distributed data processing frameworks, including Apache Spark. Exposure to advanced analytics or AI adjacent data use cases, including preparing data for machine learning or intelligent applications. Familiarity with additional Azure services such as Azure Functions or Logic Apps in support of data workflows. Experience supporting data platform enhancement, refactoring, or modernization initiatives. Familiarity with data quality, reliability, and operational best practices in production environments. Experience working in a scaling or fast paced organization where priorities evolve quickly.# Want to find out more about the Technology and Systems Department? The Technology & Systems department drives technological innovation for the company and advances the technology strategy to support global growth. This includes IT, Software Development, OT / Automation Systems, and business process improvement. At Vantage, we are very hands on. In most cases, we specify, purchase, configure and maintain all networking and server hardware. We also work closely with partner VARs to learn about the latest technology changes so we can make informed purchase decisions. The Technology & Systems department participates in designing each of our new data center building's networking infrastructure, including but not limited to diverse pathways connecting to carriers, meet-me room (MMR) hosting (rack, cabs, ladders, cross connect panels ), wireless AP coverage, etc.We rely on extreme collaboration with Sales, Construction, Operations and Corporate Functions to drive simplification, establish global standards with continuous improvement and speed to value. We are working to build a reliable, scalable, sustainable, and secure technology roadmap/landscape that enables us to better serve our customers and employees and be the partner of choice. Our focus is on speed to value with financial and execution discipline. We strive to double the good, halve the bad, in half the time. operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other's strengths and respecting each other's weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.

Red Engine is seeking a Senior Data Engineer to enhance our data and analytics platform. The successful candidate will develop and maintain data pipelines using T-SQL, Python, and DBT in Azure. Responsibilities include collaborating with Data Analysts and stakeholders to implement data solutions that meet business needs. A solid understanding of the Azure platform and experience in agile development are required. We offer competitive pay, annual leave, and various staff benefits, fostering an inclusive culture.

Hello, we are Red Engine, the team behind theaward-winning global brands Flight Club and Electric Shuffle. We're obsessedwith disrupting the hospitality industry by creating and delivering the bestpossible experience - across all venues, products and brands. Our central team covers the full spectrum of skills needed to bring eachconcept to life - from design to marketing, sales to interior design, peopleand training, to finance, gaming and HR and everything in between. We'renot just a team of people, we are dreamers, artists, rocket scientists, contentcurators, forward thinkers and the industry's finest. We love what we do andare proud to be included in the Sunday Times Best Places to Work 2025. With a total of 19 incredible venues throughout theUK, and a further 16 around the globe, we have ambitious plans and arepassionate about developing new and exciting products, which means we're alwaysgrowing and looking for passionate people to join the family. The Job As a SeniorData Engineer, you will be working in the Red Engine Business Intelligenceteam, helping to build out the existing data and analytics platform. This roleis placed within a small team, allowing the successful candidate design freedomin implementing bespoke features and enhancements to our data platform usingthe latest technology. In this role you will assist other engineers in the developmentof the data platform. This includes meeting with key business stakeholders togather technical requirements and implementing these requirements intotechnical data solutions within the Data & Analytics platform. Key responsibilities will include: Developing and maintaining data pipelines to orchestrate the ingestion of data from disparate source systems into a centralised data analytics platform. Designing and implementingdata engineering solutions using T-SQL, Python, PySpark and DBT in the Azurecloud environment. Working with Data Analystsin promoting business logic into DBT data models, to support business reportsand dashboards. Maintaining and leveragingCI/CD deployment pipelines to promote application code into higher tierenvironments. Maintaining and updatingthe technical documentation suite in Azure DevOps. To be successful in this role, you'll: D emonstrate solid experience developing of ETL/ELT ingestion pipelinesto handle data movement, transformation and visualisations from structured andunstructured sources. Have experiencewith the Azure Platform including: DataIngestion: Azure Data Factory (ADF), Databricks, Logic Apps and Function App DataStorage: ADLS, SQL Server and Unity Catalog (Medallion Architecture) Strongunderstanding of the Databricks Platform including managing, developing anddeploying workflows, jobs and notebooks. Provenexperience in modelling data in a Data warehouse using an Inmon or Kimballapproaches. Databasedevelopment experience in SQL Server including the creation of stored proceduresin T-SQL or a similar enterprise database toolset. Experienceworking in an Agile software development framework. Excellentworking knowledge of Data Build Tool (DBT) with a demonstrated ability indeveloping data models, contracts, tests, validation, and transformations Experienceworking with modern data distributed file formats (i.e., Parquet, Delta,Iceberg, Hudi) Demonstratedexperience with building data ingestion pipelines from REST API data sources. Strongability to produce technical documentation that can be understood by bothtechnical and non-technical audiences Strong working understanding in CloudAdministration and/or Database Administration. Experience with IaC solutions usingTerraform, Pulumi or similar tools. Experience with modern CI/CD DevOpsframeworks. Experience working with the MS Fabricplatform. What you'll get: Competitive pay Annual bonus 33 days annual leave inclusive of BankHolidays Fusion working (our team are regularly in ourvenues, working collaboratively in our bright offices in Angel, or focusing onindividual projects with work from home Thursdays) Staff discount in all venues (50% off Sunday,Monday, 25% off Tuesday - Saturday, and free game hire) Regular team socialsand weekly lunch invenue Monthly learning and development classes, quarterlyteambuilding events Summer and Christmas socials 24/7 health support Free access to therapy, nutritionists, andphysiotherapists Weekly lunch in venue Here at Red Engine, we believe our success beginsand ends with our people. We are committed to a diverse culture where all ourteam feel respected and included. We acknowledge the power that a diverseset of beliefs and perspectives can bring, and that a variety of voicesstrengthens our team, enhances creativity, and drives innovation. We welcomeapplications from candidates of all identities, including individuals ofdifferent races, ethnicities, genders and sexual orientations. If you're passionateabout contributing to a culture of inclusion and collaboration, pleaseapply.

drivvn Limited. is seeking a Senior Data Engineer based in Birmingham to lead the design and development of their data platform. You will shape the architecture and set standards for data management at this innovative B2B SaaS company. With a focus on building scalable data pipelines using Python and Apache Spark, you will work closely with product and engineering teams. A strong background in data engineering coupled with experience in cloud environments is essential. Join drivvn to transform the automotive industry by leveraging data-driven insights!

Senior VMWare Engineer (VCF) - Erskine or NewcastleApplylocations: GBR - RFW - ERSKINEtime type: Full timeposted on: Posted Todayjob requisition id: Job Description: Job Title: Senior VMWare (VCF) Engineer. Location: Erskine or Newcastle Work Mode: Hybrid/Remote flexibility Salary: Competitive About DXC Technology DXC Technology is a global IT services leader, delivering mission-critical IT solutions that help businesses modernize their operations, enhance security, and improve performance. With a workforce of 130,000+ professionals in 70+ countries, DXC specializes in cloud computing, cybersecurity, IT outsourcing, analytics, and digital transformation to support enterprise-scale organizations worldwide. About the Role We are seeking a highly skilled VMWare chief engineer to join our Infrastructure Services team. This role involves designing, deploying, managing, and optimizing cloud and virtualization environments across public, private, and hybrid cloud platforms. You will work with a broad range of technologies, including servers, storage, networks, containers, middleware, databases, and virtualization solutions.This role is critical in ensuring high availability, performance, and security of DXC's infrastructure while supporting cloud migration, automation, and modernization initiatives. This role blends deep technical expertise with operational leadership, supporting enterprise-grade virtualization, cloud, and server platforms. You'll manage complex project deployments, drive automation, and ensure platform resilience across secure hybrid environments.The successful candidate must be a sole UK national and hold or be eligible for high-level UK government security clearance . Please note we are currently only considering candidates within commutable distance to Erskine or Newcastle. Key Responsibilities Design, deploy, configure, and optimize virtualization technologies such as VMware, VCF 5.x & higher. Deploy and Configure VMware Site Recovery Manager (SRM) and Aria Suite tools (vRealize Operations, Automation, Log Insight, NSX) Collaborate with cross-functional teams to design scalable, secure, and cost-effective cloud solutions. Monitor, troubleshoot, and resolve infrastructure issues across storage, networking, and compute environments. Implement automation and Infrastructure-as-Code (IaC) practices using tools like Ansible or PowerShell. Document system design (HLD/ LLD), configurations, policies, and procedures for future reference and audits. Provide technical guidance and support to other IT teams as needed. Apply deep technical knowledge and critical thinking to address complex infrastructure-related problems Required Skills & Qualifications 6+ years of industry experience in a cloud or virtualization role. Strong experience with VMware VCF Basic familiarity with public cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of networking, storage solutions, and Active Directory in cloud environments. Experience with automation tools (Terraform, Ansible, PowerShell, or Python). Understanding of IT security best practices, identity management, and compliance. Strong troubleshooting skills and ability to work in a fast-paced environment.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.

Salary range: up to £70,000 Location: Birmingham Company Overview Drivvn is a fast-growing B2B SaaS company transforming the automotive industry through cutting-edge eCommerce solutions. Founded in 2020 and operating as a wholly owned subsidiary of the TCC Group, Drivvn empowers major automotive brands like Stellantis, Ford, Volvo, and Volkswagen to deliver seamless online vehicle buying experiences. More recently it has entered the vehicle leasing space, working with MHC and Leasys. Its digital retail platform supports every stage of the automotive sales and leasing journey-from vehicle configuration to financing-while enabling real-time integration and omnichannel capabilities. The company predominantly operates in Europe, with plans for expansion. Drivvn generated approximately £8 million in revenue for FY24. Primary Purpose & Scope As a Senior Data Engineer, you will lead the design and build-out of drivvn's data platform - the foundation that turns the activity flowing through our automotive e-commerce platform into trusted, reusable data products. This is a foundational role: you will shape the architecture, set the standards, and own the platform end to end as the data function grows around you. Our data platform is built on Python and Apache Spark for processing, with data stored as Apache Iceberg tables on Azure Data Lake Storage. We use Trino as our distributed query engine and Metabase for BI, and we are introducing cube.dev as a semantic layer with first class observability. While these are our current technologies, we remain pragmatic and open to adopting the best tools to achieve our goals. drivvn provides a class leading automotive e commerce platform delivering over £2bn in online sales per annum, used by global OEMs to accelerate their direct to consumer business. The data you unlock will directly inform how those brands understand and improve the customer journey. Key Responsibilities Own the lakehouse. Design, build and operate scalable batch and streaming data pipelines in Python and Spark (PySpark), ingesting and transforming data into well modelled Apache Iceberg tables on Azure Data Lake Storage. Architect for scale and cost. Make sound decisions on table design, partitioning, schema evolution and Iceberg table maintenance (compaction, snapshot expiry), balancing query performance against storage and compute cost. Deliver the query and semantic layers. Optimise the Trino query layer and build out the cube.dev semantic layer so that consistent, governed metrics are available for self serve analytics. Enable analytics and BI. Partner with stakeholders to model data and surface reliable, performant insight through Metabase, reducing the distance between a question and a trustworthy answer. Embed observability and quality. Build monitoring, alerting, data quality checks and lineage into the platform. We believe in a true DevOps culture where engineers run what they build. Set the engineering standard. Establish best practices for the data function - version control (Git), automated testing, CI/CD, infrastructure as code and clear documentation. Champion governance and security. Ensure data is handled securely and in line with GDPR and our obligations across UK and European markets, including appropriate access controls and data retention. Partner across the business. Work closely with product, engineering and commercial teams to understand data needs and translate them into robust, reusable data products. Lead technically. Evaluate trade offs, run proofs of concept, advocate for the right technologies, and provide the technical direction for data engineering as the team grows. About you Strong, hands on data engineering experience, with expert level Python and distributed data processing using Spark / PySpark. Practical experience of the lakehouse paradigm and modern open table formats - Apache Iceberg (or Delta Lake / Hudi) - including partitioning strategy, schema evolution and table maintenance. Experience building and operating data platforms on a major cloud, ideally Microsoft Azure (Azure Data Lake Storage), within cloud native, containerised environments. Proficiency with distributed SQL query engines such as Trino / Presto / Starburst, and strong SQL skills at scale. Experience modelling data and enabling self serve BI (Metabase or similar). Experience with a semantic / metrics layer such as cube.dev, dbt or LookML is a strong advantage. Solid software engineering fundamentals: version control (Git), automated testing and CI/CD within container based environments. Infrastructure as code (e.g. Terraform) is desirable. A working understanding of data observability, data quality, lineage and governance, with an appreciation of security and GDPR considerations. Specialised expertise in at least one key area: streaming and event processing (e.g. Kafka), advanced data modelling, performance and cost optimisation, or data governance. Proven ability to work independently with minimal oversight and make pragmatic architectural trade offs, thriving in a startup environment that values adaptability and proactive problem solving. A positive, proactive and energetic attitude, strong communication skills, and a passion for transforming the digital automotive buying experience through data!

About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The Customer Insight team powers customer centric decision making across Charlotte Tilbury, turning data into the insight that shapes our growth strategy. We bring together customer, digital, trade and market signals to understand how our customers discover, shop and stay loyal to the brand, and how we can serve them better at every step. The Customer Intelligence Lead is a pivotal role in this team. Reporting to the Head of Customer Insights, you'll own the day to day Customer Intelligence agenda setting priorities, defining how we measure customer performance, and ensuring insight is embedded into key commercial and marketing decisions. You'll balance hands on analytics with leadership and influence. You'll lead complex analysis and modelling yourself where needed, while guiding a mid weight Customer Intelligence Analyst and partnering with Data Science, Data Engineering, CRM, Digital and Marketing teams. Your work will shape how we acquire, retain and grow customers globally, and you'll be a visible, trusted voice on customer performance for senior stakeholders across the business. As a Customer Intelligence you will The role covers the full customer insight lifecycle, from framing the right questions through to embedding recommendations and measuring impact. Responsibilities include Shaping and delivering the Customer Intelligence strategy, working with the Head of Customer Insights to define the roadmap, priorities and standards for customer insight. Owning customer metrics, frameworks and performance reporting, defining and governing KPIs such as acquisition efficiency, retention, loyalty, LTV and churn across channels and markets. Leading high impact analysis and advanced analytics, running complex customer analysis, segmentation and propensity/LTV modelling to inform targeting, personalisation and optimisation activity. Translating insight into strategy and action, turning complex data into clear stories, recommendations and test and learn plans for senior stakeholders across CRM, Performance Marketing, Trade, Product and Finance. Shaping customer data foundations and tooling, partnering with Data Engineering and Data Science to ensure the architecture, data pipelines, models and tools provide a reliable, joined up view of the customer and robust measurement. Line management of a Customer Insight Analyst, setting goals, prioritising workload, reviewing outputs and coaching for high performance and continual development. Who you will work with Data & AI Team, Digital etc. About you Degree in a quantitative/STEM subject (or equivalent experience), with strong exposure to statistics or econometrics. Extensive experience in customer/marketing/CRM analytics in a consumer facing business, delivering clear commercial impact. Advanced SQL and strong data modelling skills, confident working with large, complex customer and transactional datasets. Proven track record leading end to end insight projects and turning findings into clear recommendations and actions, with high attention to detail and data quality. Experience managing or mentoring analysts, setting priorities and ensuring high quality outputs. Excellent stakeholder management and storytelling skills, comfortable challenging and influencing senior leaders. Strong commercial acumen, with deep understanding of LTV, churn, acquisition, retention and their link to P&L. Experience with BI/visualisation tools (e.g. Looker, Tableau) and digital analytics (e.g. Snowplow, GA4). Experience introducing AI into analytical workflows (we are big believers in AI for productivity and would love to learn from your experience!) Charlotte Tilbury is a fast paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global are key. Even though we have requirements, our experience and background are just a guide, we still love to welcome applicants with more or less experience stated, provided necessary skills can be demonstrated. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves We're a hybrid model with flexibility, allowing you to work how best suits you 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey Financial security and planning with our pension and life assurance for all Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues Bring your furry friend to work with you on our allocated dog friendly days and spaces And not to forget our generous product discount and gifting! At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process. If you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!

We're looking for an experienced technical data Product Manager to help our dynamic London-based product management team scale to drive value for customers, guide successful launches, and shape the data strategy for a proprietary internal capital markets data platform. Our team is responsible for sourcing, validating, and publishing broad capital markets data to JP Morgan investment bankers around the world. These bankers are our primary stakeholders - they rely on our data to grow their relationships with capital markets clients and win valuable equity and debt mandates. We also work closely with partners in product, design, and engineering, who help design and implement complementary tools and services. As a technical data Product Manager in the Capital Markets business, you will be an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. You will act as the voice of the customer, always prioritizing products that provide measurable value. Utilizing your deep understanding of how to get a product off the ground, you will guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you will collaborate closely with cross functional teams to deliver high quality products that exceed customer expectations. Job Responsibilities Develop a data product strategy and product vision that delivers value to our capital markets investment banking customers. Manage discovery efforts and market research to uncover customer solutions and integrate them into the data product roadmap. Own, maintain, and develop a data product backlog that enables development to support the overall strategic roadmap and value proposition. Develop strong relationships with investment banking users and stakeholders to drive data product adoption and satisfaction. Partner with external data vendors to deeply understand their offerings and advocate for desired enhancements. Lead product development projects from zero to one with Design, Engineering & Controls teams - ensuring detailed user requirement documentation, timely delivery, and quality standards. Design and catalog logic driven data models and scalable APIs. Leverage data driven insights to make informed decisions and drive continuous product improvement. Build a deep understanding of advanced analytics and AI/ML capabilities that can be incorporated into product solutions to enhance and accelerate user value. Required qualifications, capabilities, and skills Experience or equivalent expertise in technical data product management. Advanced knowledge of the product development life cycle, design, and data analytics. Proven ability to independently lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management. A customer centric mindset and experience building and delivering greenfield products end to end. Flexibility to adapt to changing project requirements and priorities in a fast paced environment. Demonstrated track record of aligning cross functional teams and stakeholders on strategic priorities. Exceptional communication skills, both written and verbal, to act as an effective translator between business and technology. Open and transparent working style, with the ability to communicate up and down. Strong ability to collaborate with engineering teams to translate technical requirements into scalable product solutions. Strong project management and organizational planning skills to work and stay aligned with cross functional teams. Proven ability to manage complex, multi stakeholder technical projects with competing priorities. Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization. Experience as a Product Manager in the financial services, or related, industry. Understanding of the capital markets domain, financial markets, and industry regulations. A solid grasp of technical concepts, including software development, APIs, cloud infrastructure, and system architecture.

About us At Informed Solutions, we design, build and continually improve digital products and services to make public and private sector organisations work better for the people they serve. Our teams bring together user centred design, software engineering, data, AI, and delivery expertise to create services that are effective, inclusive, and innovative. We are looking for a Senior Product Manager to be embedded within our product team and help drive the success of our digital product portfolio, including our two flagship InformedDECISION and InformedINSIGHT products, alongside our growing suite of complementary products. As a multi Queen's Award for Innovation winning organisation, innovation lies at the heart of everything we do: we are passionate about delivering products that enable our customers to realise the benefits of the latest technologies and innovations, including AI, advanced analytics, and geospatial technologies. The Senior Product Manager will own product strategy, proposition, priorities, and lifecycle decisions, while partnering closely with Business Development and other client facing teams on go-to market planning, market engagement, and commercial execution. The Role As a Senior Product Manager, you will: Shape the direction and lifecycle for one or more products, balancing market opportunity, client needs, commercial value and delivery feasibility. Translate insights from customers, users, market analysis and product performance into clear product visions, value propositions, roadmaps, backlogs and release plans. Shape investment and prioritisation decisions using data, market insights and sound judgement, ensuring effort is focused on the highest value opportunities. Contribute to strong product management practice across the product function, coaching others and contributing to standards, ways of working and community growth. Partner closely with Business Development and other client facing teams to support product positioning, go-to market planning, and launch readiness. What You'll Do Strategic & Product Leadership Identify, validate, and prioritise market, client, and user needs through research, engagement, and analysis, translating insight into clear product decisions. Lead product positioning and proposition development for assigned products, and work with senior leadership and commercial colleagues to shape pricing, packaging, and market approach, ensuring these reflect product strategy, customer need, and market opportunity. Develop and maintain compelling product visions and value propositions that clearly articulate the problems we solve, for whom, and the value our products deliver. Shape and manage product roadmaps that focus investment on the highest value capabilities, including those that drive adoption, retention, revenue growth, and competitive differentiation. Maintain and prioritise product backlogs with clear requirements, user stories, and acceptance criteria, ensuring teams are working on the most important problems. Identify and validate market opportunities for new products, features, and propositions, using customer insight, competitor analysis, and commercial evidence to inform product direction. Product Development, Delivery & Performance Lead product input to go to market planning for new products, major capabilities, and releases, working with Business Development and client facing teams to ensure launch readiness across proposition, messaging, internal enablement, and customer adoption. Translate strategy into actionable plans, helping teams understand priorities, trade offs, dependencies, and intended outcomes. Assess emerging technologies and industry developments with relevant colleagues, and incorporate them into product roadmaps where they create clear customer, market, or commercial value. Lead product discovery and validation activity, using research, experimentation and feedback to test assumptions, reduce risk, and identify the highest value opportunities. Work closely with engineering and delivery colleagues to ensure product development is realistic, transparent, and outcome focused. Evaluate the market, customer, and commercial impact of product releases and changes, using evidence to refine priorities, improve outcomes, and inform future investment decisions. Define, monitor, and act on product KPIs, using qualitative and quantitative evidence to evaluate success, inform prioritisation, and improve decision making. Support the ongoing operation and improvement of products, ensuring feedback, service data, and performance metrics are used to continuously improve user and business outcomes. Contribute to product growth and financial performance by working with leadership, finance, and commercial colleagues to understand revenue, cost, profitability, and the impact of pricing, packaging, and investment decisions. Stakeholder, Market & Commercial Engagement Communicate product strategy, priorities, and progress clearly to a range of audiences, including senior leadership, delivery teams, and commercial stakeholders. Build strong relationships with customers, users, internal stakeholders, and partner organisations to ensure product direction is informed, credible, and collaborative. Maintain an evidence based understanding of market trends, competitor products, and emerging opportunities or threats. Facilitate effective decision making by bringing together insight, evidence, and pragmatism to navigate ambiguity and competing priorities. Work with Business Development and senior stakeholders to shape and deliver go to market plans for new products, capabilities, and releases, ensuring launch activity reflects product strategy, market demand, and commercial opportunity. Work with commercial and client facing colleagues to develop clear product positioning, messaging, and value narratives that communicate differentiation, support customer engagement, and strengthen commercial growth. Practice, Quality & Capability Contribute to the ongoing development of product management methods, governance, standards, and ways of working, using practical experience and industry awareness to support consistent, high quality product outcomes. Support best practice product thinking, user centred design, experimentation, prioritisation, and evidence led decision making. Support the growth of Informed's product management discipline through coaching, knowledge sharing, and community activity. What We're Looking For Essential Skills & Experience Proven experience as a Senior Product Manager working with innovative digital or SaaS style products, with responsibility for product strategy, roadmap, prioritisation, delivery, and bringing products or major capabilities successfully to market. Experience working in cross functional teams with engineering, design, and data specialists to deliver and improve digital products. Experience using market and customer insights and product performance data to shape priorities and make informed product decisions. Ability to define clear product visions, value propositions, roadmaps, and backlogs for innovative, new to market products. Experience shaping product positioning, value propositions, and go to market activity for digital products. Experience working closely with commercial, sales, business development, or client facing teams to support launches, market adoption, and product growth. Desirable Skills & Experience Experience in regulated, secure, or data intensive environments. A relevant domain, industry or product management accreditation or certification. Understanding of product financial management, including costs, margins, profitability, and investment trade offs. Understanding of assurance, governance, accessibility, security or compliance expectations relevant to public sector or regulated digital products. Experience launching new digital products or major product capabilities into market. Experience scaling product adoption in B2B, enterprise, or public sector environments. Why You'll Love Working Here Work on innovative tech for good digital products that create real value for organisations and the people they serve. Help shape and grow a product function that is central to our businesses' long term strategy and growth. Collaborate with passionate, talented multidisciplinary teams in an environment that values curiosity, innovation, and continuous improvement. Influence not just what we build, but how we think about product, market opportunity, and sustainable growth. Access opportunities for professional development, progression, and deeper involvement in shaping our product capability. Senior colleagues, experts, and leaders at Informed Solutions are committed to supporting, coaching, upskilling, and enabling the success and career progression of each other. There are some foundation areas, however, which you need to possess to be able to successfully contribute to your team and work alongside others. Key abilities that are necessary for success Able to work effectively in environments where you can adapt to innovative practices involving uncertainty, change, and agile working. Ability to manage competing priorities and your time so you can deliver high quality work within deadlines. 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Software Developer - Equity Market Making Trading Platform London, GB Full-Time Information Technology About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas. Overview of Marex / Department description Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. Role Summary We are seeking a senior Software Engineer to provide technical leadership, architectural authority, and hands on delivery across our Equity Market Making Trading platform. This is a high impact, regulated environment with distributed systems and DevOps practices. The role is designed for a senior engineer with leadership skills. Operating System, Cloud & DevOps: Windows and Linux experience, AWS (Lambda, ECS, RDS, SQS, S3, API Gateway, VPC, Terraform/CloudFormation), CI/CD (TeamCity/Octopus), Git workflows, Containers AI & Developer Productivity: Experience using AI assisted coding tools, including agentic AI platforms, for code generation, review, automation, and optimization. Regulatory Experience: Highly desirable in financial services or other regulated environments. Responsibilities Role specific: Own and evolve platform architecture across on premise and AWS cloud environments. Lead modernization initiatives: microservices, distributed systems, cloud native practices. Ensure scalability, resilience, performance, and security by design. Guide technical governance and engineering standards. Software Engineering Excellence Deliver high quality, maintainable, and secure systems. Promote coding standards, testing, code review discipline, and quality metrics. Lead technical delivery of complex initiatives, contributing hands on where strategic. Leverage AI assisted coding tools, including agentic AI, to accelerate development, enforce quality, and optimize software delivery. Technical Leadership & Mentorship Act as the senior technical authority within engineering. Mentor senior and mid level engineers, raising technical capability. Lead complex problem solving and critical incident resolution. Support hiring, technical evaluation, and team development. Operational & Delivery Accountability Maintain platform reliability, scalability, and operational stability. Own root cause analysis and remediation planning for incidents. Drive/engage in best practice project governance, e.g. Agile to deliver results and manage expectations. Embed observability, monitoring, and performance metrics. Collaborate with operations, compliance, and product teams to deliver business change safely. Strategic & Commercial Contribution Contribute to the technology roadmap and long term engineering strategy. Participate in governance forums, board reporting, and vendor selection. Communicate technical direction to senior stakeholders effectively. All staff: Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills and Experience Technical authority and credibility with senior engineers. Strong communication and stakeholder influence. Calm, structured under pressure. Commercially aware and strategic thinking. Motivated to grow into a more senior Software Engineering role. Essential Skills and Experience 10+ years in software engineering. Proven track record designing and delivering scalable, distributed systems. Architectural ownership of complex platforms. Mentoring and leading engineering teams. Experienced in AI assisted development workflows. Experience of Capital Markets, especially Equity trading, FIX experience, market data and Trading UIs, is beneficial. Cloud native and DevOps expertise. Exposure to regulated environments preferred. Leadership potential with ability to assume Head of Software Architecture responsibilities. Influence enterprise scale regulated platforms. Hands on and strategic leadership. Exposure to roadmap planning, governance forums, and operational oversight. Modern AI assisted software engineering across the tech estate. Conduct Rules You must: Act with integrity. Act with due skill, care and diligence. Be open and cooperative with the FCA, the PRA and other regulators. Pay due regard to the interests of customers and treat them fairly. Observe proper standard of market conduct. Inclusive Employment Statement Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.